IV'21 Sponsored by the
IEEE Intelligent Transportation Systems Society
32nd IEEE Intelligent Vehicles Symposium July 11-15, 2021. Nagoya University, Nagoya, Japan
  
2021 IEEE Intelligent Vehicles Symposium (IV)
July 11-17, 2021, Nagoya University, Nagoya, Japan

Program at a Glance    Sunday    Monday    Author Index    Keyword Index  

Last updated on June 25, 2021. This conference program is tentative and subject to change

Technical Program for Monday July 12, 2021

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MC-ADSS VirtualRoom
Advanced Driver Assistance Systems Regular Session
 
08:00-17:00, Paper MC-ADSS.1 
Implementation and Evaluation of Latency Visualization Method for Teleoperated Vehicle

Sato, YudaiKDDI Research
Kashihara, ShuntaroKDDI Research, Inc
Ogishi, TomohikoKDDI Research
 
08:00-17:00, Paper MC-ADSS.2 
Learning to Schedule Joint Radar-Communication Requests for Optimal Information Freshness

Lee, JoashNanyang Technological University
Niyato, DusitNanyang Technological University
Guan, Yong LiangNanyang Technological University
Kim, Dong InSungkyunkwan University
 
08:00-17:00, Paper MC-ADSS.3 
Seven Technical Issues That May Ruin Your Virtual Tests for ADAS

El Mostadi, MohamedLAAS-CNRS, Renault Software Labs
Waeselynck, HeleneLAAS-CNRS
Jean-Marc Gabriel, Jean-MarcRenault Software Labs
 
08:00-17:00, Paper MC-ADSS.4 
A Model for Traffic Incident Prediction Using Emergency Braking Data

Reichenbach, AlexanderImperial College London
Navarro-Barrientos, Jesus EmeterioDaimler AG
 
08:00-17:00, Paper MC-ADSS.5 
Robust Vehicle State and Tire Force Estimation: Highlights on Effects of Road Angles and Sensor Performance

Vaseur, CyranoKU Leuven
van Aalst, SebastiaanFlanders Make
Desmet, W.K.U.Leuven
 
08:00-17:00, Paper MC-ADSS.6 
Analysis of the Generalized Intelligent Driver Model (GIDM) for Merging Situations

Kreutz, KarstenTechnical University of Darmstadt
Eggert, JulianHonda Research Institute Europe GmbH
 
08:00-17:00, Paper MC-ADSS.7 
A Novel Tire-Road Adhesion Stability Model and Control Strategy for Centralized Drive Pure Electric Vehicles

Xu, GuoqingShanghai University
Peng, MenglongShanghai University
Huang, ZhidongShanghai University
 
08:00-17:00, Paper MC-ADSS.8 
Investigations on Model Predictive Control Objectives for Motion Cueing Algorithms in Motorsport Driving Simulators

Schwarzhuber, ThomasBMW Motorsport
Graf, MichaelBMW Motorsport
Eichberger, ArnoTU Graz
 
08:00-17:00, Paper MC-ADSS.9 
DigiMobot: Digital Twin for Human-Robot Collaboration in Indoor Environments

Fukushima, YutoNagoya University
Asai, YusukeNagoya University
Aoki, ShunsukeNational Institute of Informatics
Yonezawa, TakuroNagoya University
Kawaguchi, NobuoNagoya University
 
MC-AVS Room T1
Automated Vehicles Regular Session
 
08:00-17:00, Paper MC-AVS.1 
Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving

Bernhard, JulianFortiss GmbH
Knoll, AloisTechnische Universität München
 
08:00-17:00, Paper MC-AVS.2 
Scenario Dependency Graphs for Efficient Development of Automated Driving Systems towards Market Entry

Klamt, TobiasRobert Bosch GmbH
Mielenz, HolgerRobert Bosch Group
 
08:00-17:00, Paper MC-AVS.3 
Opportunities and Challenges for the Demand-Responsive Transport Using Highly Automated and Autonomous Rail Units in Rural Areas

Zieger, StephanRWTH Aachen University
Nießen, NilsRWTH Aachen University
 
08:00-17:00, Paper MC-AVS.4 
On Responsibility Sensitive Safety in Longitudinal Follow-Up Situations - a Parameter Analysis on German Highways

Naumann, MaximilianBosch Center for Artificial Intelligence
Wirth, FlorianKarlsruhe Institute of Technology
Oboril, FabianIntel
Scholl, Kay-UlrichIntel Deutschland GmbH
Elli, Maria SoledadIntel Corporation
Alvarez, IgnacioINTEL CORPORATION
Weast, JackIntel
Stiller, ChristophKarlsruhe Institute of Technology
 
08:00-17:00, Paper MC-AVS.5 
Slip Estimation for Autonomous Tracked Vehicles Via Machine Learning

Liu, JiaBeijing Institute of Technology
Wang, BoyangBeijing Institute of Technology
Liu, HaiouBeijing Institute of Technology
Mao, FeihongChina North Vehicle Research Institute
 
08:00-17:00, Paper MC-AVS.6 
RSS+: Pro-Active Risk Mitigation for AV Safety Layers Based on RSS

Oboril, FabianIntel
Scholl, Kay-UlrichIntel Deutschland GmbH
 
08:00-17:00, Paper MC-AVS.7 
Intention-Driven Trajectory Prediction for Autonomous Driving

Fan, ShiweiHuawei Digital Technologies Co., Ltd
Li, XiangxuHuawei Digital Technologies Co., Ltd
Li, FeiHuawei Digital Technologies Co., Ltd
 
08:00-17:00, Paper MC-AVS.8 
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-Task Baseline

Rashed, HazemValeo
Ewaisha, MahmoudValeo
Siam, MennatullahUniversity of Alberta
Yogamani, SenthilValeo Vision Systems
Hamdy, WaleedValeo
El-Dakdouky, Mohamed H.Zewail City of Science and Technology
Al Sallab, AhmadValeo
Bakr, EslamValeo, Cairo University
 
08:00-17:00, Paper MC-AVS.9 
LiDAR-Based Object Detection Failure Tolerated Autonomous Driving Planning System

Cao, ZhongTsinghua University
Liu, JiaxinTsinghua University
Zhou, WeitaoTsinghua University
Jiao, XinyuTsinghua University
Yang, DiangeState Key Laboratory of Automotive Safety and Energy, Collaborat
 
08:00-17:00, Paper MC-AVS.10 
Evaluating Robustness Over High Level Driving Instruction for Autonomous Driving

Carton, FlorenceENSTA Paris
Filliat, DavidENSTA ParisTech
Rabarisoa, JaonaryCEA
Pham, Quoc CuongUniversité Paris-Saclay, CEA, List
 
08:00-17:00, Paper MC-AVS.11 
Model in the Loop Testing and Validation of Embedded Autonomous Driving Algorithms

Bruggner, DennisMentor Graphics (a Siemens Business)
Hegde, Anoosh AnjaneyaSiemens
Acerbo, Flavia SofiaSiemens Digital Industries Software
Gulati, DhirajMentor Graphics - a Siemens Business
Son, TongSiemens Digital Industries Software
 
08:00-17:00, Paper MC-AVS.12 
A Knowledge-Based Approach for the Automatic Construction of Skill Graphs for Online Monitoring

Jatzkowski, IngaTechnische Universität Braunschweig
Menzel, TillTU Braunschweig - Institute of Control Engineering
Bock, AnsgarTU Braunschweig
Maurer, MarkusTU Braunschweig
 
08:00-17:00, Paper MC-AVS.13 
A Hazard Analysis Approach Based on STPA and Finite State Machine for Autonomous Vehicles

Xing, XingyuTongji University
Zhou, TangruiTongji University
Chen, JunyiTongji University
Lu, XiongTongji Unviersity
Yu, ZhuopingTongji University
 
08:00-17:00, Paper MC-AVS.14 
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles

Ghodsi, ZahraNew York University
Hari, Siva Kumar SastryNVIDIA
Iuri Frosio, IuriNVIDIA
Tsai, TimothyNVIDIA
Troccoli, AlejandroNVIDIA
Keckler, SteveNVIDIA
Garg, SiddharthNew York University
Anandkumar, AnimashreeCalifornia Institute of Technology
 
08:00-17:00, Paper MC-AVS.15 
Trajectory Prediction for Autonomous Driving Based on Multi-Head Attention with Joint Agent-Map Representation

Messaoud, KaoutherINRIA Paris
Deo, NachiketUniversity of California San Diego
Trivedi, Mohan M.University of California at San Diego
Nashashibi, FawziINRIA
 
08:00-17:00, Paper MC-AVS.16 
Can You Trust Your Autonomous Car? Interpretable and Verifiably Safe Reinforcement Learning

Schmidt, Lukas MichaelFraunhofer-Institut Für Integrierte Schaltungen IIS
Kontes, GeorgiosFraunhofer Institute for Integrated Circuits IIS
Plinge, AxelFraunhofer IIS
Mutschler, ChristopherFraunhofer IIS
 
08:00-17:00, Paper MC-AVS.17 
Collision Avoidance Testing for Autonomous Driving Systems on Complete Maps

Tang, YunNanyang Technological University
Zhou, YuanNanyang Technological University
Liu, YangNanyang Technological University
Sun, JunSingapore Management University
Wang, GangAlibaba Group
 
08:00-17:00, Paper MC-AVS.18 
Temporal Logic Formalization of Marine Traffic Rules

Krasowski, HannaTechnical University of Munich
Althoff, MatthiasTechnische Universität München
 
08:00-17:00, Paper MC-AVS.19 
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning

Peng, BaiyuTsinghua University
Mu, YaoTsinghua University
Duan, JingliangTsinghua University
Guan, YangTsinghua University
Li, Shengbo EbenTsinghua University
Chen, JianyuTsinghua University
 
08:00-17:00, Paper MC-AVS.20 
Self-Supervised Action-Space Prediction for Automated Driving

Janjoš, FarisRobert Bosch GmbH
Dolgov, MaximRobert Bosch GmbH
Zöllner, J. MariusFZI Research Center for Information Technology; KIT Karlsruhe In
 
08:00-17:00, Paper MC-AVS.21 
Aggregation of Road Characteristics from Online Maps and Evaluation of Datasets

Hiller, JohannesInstitute for Automotive Engineering RWTH Aachen University
Müller, FabianRWTH Aachen University
Eckstein, LutzRWTH Aachen University
 
08:00-17:00, Paper MC-AVS.22 
Symbolic Model-Based Design and Generation of Logical Scenarios for Autonomous Vehicles Validation

Bannour, BoutheinaCEA
Niol, JulienAPSYS
Crisafulli, PaoloIRT SystemX
 
08:00-17:00, Paper MC-AVS.23 
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles

Ye, FeiUniversity of California, Berkeley
Wang, PinUniversity of California, Berkeley
Chan, Ching-YaoITS, University of California at Berkeley
Zhang, JiucaiGAC R&D Center Silicon Valley Inc
 
08:00-17:00, Paper MC-AVS.24 
Towards Accountability: Providing Intelligible Explanations in Autonomous Driving

Omeiza, DanielUniversity of Oxford
Webb, HelenaUniversity of Oxford
Jirotka, MarinaUniversity of Oxford
Kunze, LarsUniversity of Oxford
 
08:00-17:00, Paper MC-AVS.25 
Engine Activation Planning for Series Hybrid Electric Vehicles

Wray, KyleAlliance Innovation Lab Silicon Valley
Lui, RichardNissan North America
Pedersen, LiamNissan Motor Company
 
08:00-17:00, Paper MC-AVS.26 
Cooperative Speed Regulation in Automated Vehicles: A Comparison between a Touch, Pedal, and Button Interface As the Input Modality

Pichen, JürgenUlm University
Miller, LindaUlm University
Baumann, MartinUlm University
 
08:00-17:00, Paper MC-AVS.27 
Generation of Modular and Measurable Validation Scenarios for Autonomous Vehicles Using Accident Data

Goss, QuentinEmbry-Riddle Aeronautical University
AlRashidi, YaraEmbry-Riddle Aeronautical University
Akbas, Mustafa, IEmbry-Riddle Aeronautical University
 
08:00-17:00, Paper MC-AVS.28 
Integrated Modular Safety System Design for Intelligent Autonomous Vehicles

Drage, ThomasThe University of Western Australia
Lim, Kai LiThe University of Western Australia
Gregory, DavidThe University of Western Australia
Koh, Joey En HaiThe University of Western Australia
Brogle, CraigThe University of Western Australia
Braunl, ThomasThe University of Western Australia
 
08:00-17:00, Paper MC-AVS.29 
End-To-End Uncertainty-Based Mitigation of Adversarial Attacks to Automated Lane Centering

Jiao, RuochenNorthwestern University
Liang, HengyiNorthwestern University
Sato, TakamiUniversity of California, Irvine
Shen, JunjieUniversity of California, Irvine
Chen, Qi AlfredUC Irvine
Zhu, QiNorthwestern University
 
08:00-17:00, Paper MC-AVS.30 
Multi-Constraint Predictive Control System with Auxiliary Emergency Controllers for Autonomous Vehicles

Partovi Ebrahimpour, FarhadNorthern Illinois University
Ferdowsi, HasanNorthern Illinois University
 
08:00-17:00, Paper MC-AVS.31 
Automated Driving Highway Traffic Merging Using Deep Multi-Agent Reinforcement Learning in Continuous State-Action Spaces

Schester, LarryUniversity of Michigan - Dearborn
Ortiz, Luis EUniversity of Michigan - Dearborn
 
08:00-17:00, Paper MC-AVS.32 
Analyzing Real-World Accidents for Test Scenario Generation for Automated Vehicles

Esenturk, EmreUniversity of Warwick
Khastgir, SiddarthaUniversity of Warwick
Wallace, AlbertUniversity of Warwick
Jennings, PaulWMG, University of Warwick
 
MC-CSS Room T1
Cooperative Systems Regular Session
 
08:00-17:00, Paper MC-CSS.1 
An Analytical Communication Model Design for Multi-Vehicle Cooperative Control

Shi, JiaTsinghua University
Li, PengfeiSchool of Vehicle and Mobility, Tsinghua University
Luo, YugongTsinghua University, Beijing
Kong, WeiweiChina Agricultural University
Li, KeqiangTsinghua University
 
08:00-17:00, Paper MC-CSS.2 
MultiCruise: Eco-Lane Selection Strategy with Eco-Cruise Control for Connected and Automated Vehicles

Aoki, ShunsukeNational Institute of Informatics
Lung En Jan, LungCarnegie Mellon University
Zhao, JunfengGeneral Motors Company
Bhat, AnandCarnegie Mellon University
Chang, Chen-FangGeneral Motors Company
Rajkumar, RagunathanCarnegie Mellon University
 
08:00-17:00, Paper MC-CSS.3 
Energy-Efficient Train Control in Urban Rail Transit: Multi-Train Dynamic Cooperation Based on Train-To-Train Communication

Jin, BoSouthwest Jiaotong University
Fang, QianSouthwest Jiaotong University
Wang, QingyuanSouthwest Jiaotong University
Sun, PengfeiSouthwest JIaotong University
Feng, XiaoyunSouthwest Jiaotong University
 
08:00-17:00, Paper MC-CSS.4 
A C-V2X/5G Field Study for Supporting Automated Driving

Kutila, Matti Heikki JuhaniVTT Technical Research Centre of Finland Ltd
Kauvo, KimmoVTT Technical Research Center of Finland Ltd
Pyykönen, PasiVTT
Zhang, XiaoyunDynniq
Garrido Martinez, VictorBMG Group
Zheng, YinxiangChina Mobile
Shen, XuChina Mobile
 
08:00-17:00, Paper MC-CSS.5 
Security Concept with Distributed Trust-Levels for Autonomous Cooperative Vehicle Networks

Madl, TobiasFraunhofer AISEC
 
08:00-17:00, Paper MC-CSS.6 
A Collaborative Location Method of Connected Vehicles Based on Kalman Filter Framework

Xiaojun Li, LiChang'an University
Wang, GuipingChang'an University
Li, LiChang'an University
Gao, YananChang'an University
Zhang, BoChang'an University
 
08:00-17:00, Paper MC-CSS.7 
Empirical Performance of Dedicated Short-Range Communication in Various Road and Environmental Conditions

Saleh, AnniePMG Technologies
Chirila, VictorPMG Technologies
Ruel, MaximePMG Technologies
Villemure, PierreTransport Canada
 
08:00-17:00, Paper MC-CSS.8 
Event-Triggered Vehicle-Following Control for Connected and Automated Vehicles under Nonideal Vehicle-To-Vehicle Communications

Liu, JizhengBeijing Institute of Technology
 
08:00-17:00, Paper MC-CSS.9 
Opportunistic Strategy for Cooperative Maneuvering Using Conflict Analysis

Wang, HaoUniversity of Michigan, Ann Arbor
Avedisov, SergeiToyota Motor North America R&D - InfoTech Labs
Sakr, Ahmed HamdiUniversity of Windsor
Altintas, OnurToyota North America R&D
Orosz, GaborUniversity of Michigan
 
08:00-17:00, Paper MC-CSS.10 
An Energy Consumption Model for Electrical Vehicle Networks Via Extended Federated-Learning

Zhang, ShiliangChalmers University of Technology
 
08:00-17:00, Paper MC-CSS.11 
FLaRA: A Simple Facilities Layer Resource Allocator

Garlichs, KenoTechnische Universität Braunschweig
Willecke, AlexanderTechnische Universität Braunschweig
Hagau, Andreas-ChristianTechnische Universität Braunschweig
Wolf, LarsTechnische Universität Braunschweig
 
08:00-17:00, Paper MC-CSS.12 
MISO-V: Misbehavior Detection for Collective Perception Services in Vehicular Communications

Alvarez, IgnacioINTEL CORPORATION
Liu, XiruoIntel Corporation
Yang, Lily LIntel Corporation
Sivanesan, KathiravetpillaiIntel Corporation
Arvind Merwaday, ArvindIntel Corporation
Oboril, FabianIntel
Buerkle, CorneliusIntel
Sastry, Manoj RIntel Corporation
Gomes Baltar, LeonardoIntel Deutschland GmbH
 
08:00-17:00, Paper MC-CSS.13 
Trust-Aware Control for Intelligent Transportation Systems

Cheng, MingxiUniversity of Southern California
Zhang, JunyaoUniversity of Southern California
Nazarian, ShahinUniversity of Southern California
Deshmukh, JyotirmoyUniversity of Southern California, CA
Bogdan, PaulUniversity of Southern California
 
08:00-17:00, Paper MC-CSS.14 
Set-Membership Estimation in Shared Situational Awareness for Automated Vehicles in Occluded Scenarios

Narri, VandanaKTH Royal Institute of Technology, Scania AB
Alanwar, AmrKTH
Mårtensson, JonasKTH Royal Institute of Technology
Norén, ChristofferScania CV
Dal Col, LauraScania CV AB
Johansson, Karl H.Royal Institute of Technology
 
08:00-17:00, Paper MC-CSS.15 
Securing Connected Vehicle Applications with an Efficient Dual Cyber-Physical Blockchain Framework

Liu, XiangguoNorthwestern University
Luo, BaitingNorthwestern University
Abdo, AhmedUniversity of California Riverside
Abu-Ghazaleh, NaelUniversity of California, Riverside
Zhu, QiNorthwestern University
 
08:00-17:00, Paper MC-CSS.16 
Secure Ramp Merging Using Blockchain

Abdo, AhmedUniversity of California Riverside
Wu, GuoyuanUniversity of California-Riverside
Abu-Ghazaleh, NaelUniversity of California, Riverside
 
08:00-17:00, Paper MC-CSS.17 
Detection and Mitigation of Safety Critical Lane Changes in Partially-Connected Vehicles

Kremer, PhilippTechnische Universität Berlin
Park, SangyoungTechnical University of Berlin
 
MC-DLS Room T2
Deep Learning Regular Session
 
08:00-17:00, Paper MC-DLS.1 
Why Are You Predicting This Class?

Goldman, ClaudiaGeneral Motors
Baltaxe, MichaelGeneral Motors R&D
 
08:00-17:00, Paper MC-DLS.2 
TAPNet: Enhancing Trajectory Prediction with Auxiliary past Learning Task

Zhang, ZhichengShanghai Jiao Tong University
Wang, YafeiShanghai Jiao Tong University
Liu, XuleiShanghai JiaoTong University
 
08:00-17:00, Paper MC-DLS.3 
Learning Stixel-Based Instance Segmentation

Santarossa, MontyChristian-Albrechts-Universität Zu Kiel
Schneider, LukasDaimler, ETH Zurich
Zelenka, ClaudiusKiel University
Schmarje, LarsUniversity of Kiel
Koch, ReinhardUniversity of Kiel
Franke, UweDaimler AG
 
08:00-17:00, Paper MC-DLS.4 
MultiXNet: Multiclass Multistage Multimodal Motion Prediction

Djuric, NemanjaAurora Innovation
Cui, HenggangUber ATG
Su, ZhaoenAurora
Wu, ShangxuanUber ATG
Wang, HuahuaUber ATG
Chou, Fang-ChiehUber
San Martin, LuisaUber ATG
Feng, SongUber ATG
Hu, RuiUber ATG
Xu, YangUber ATG
Dayan, AlyssaUC Berkeley, Uber ATG
Zhang, Sidney SidaUber ATG
Becker, Brian C.Uber ATG
Meyer, Gregory P.Uber ATG
Vallespi-Gonzalez, CarlosUber ATG
Wellington, CarlUber ATG
 
08:00-17:00, Paper MC-DLS.5 
End-To-End Intersection Handling Using Multi-Agent Deep Reinforcement Learning

Capasso, Alessandro PaoloVisLab, an Ambarella Inc. Company - University of Parma
Maramotti, PaoloUniversità Degli Studi Di Parma
Dell'Eva, AnthonyUniversity of Bologna
Broggi, AlbertoUniversity of Parma
 
08:00-17:00, Paper MC-DLS.6 
Multi-Task Federated Learning for Traffic Prediction and Its Application to Route Planning

Zeng, TengchanVirginia Tech
Guo, JianlinMitsubishi Electric Research Laboratories
Kim, Keyong JinMitsubishi Electric Research Laboratories
Parsons, KieranMitsubishi Electric Research Laboratories
Orlik, PhilipMitsubishi Electric Research Laboratories
Di Cairano, StefanoMitsubishi Electric Research Laboratories
Saad, WalidVirginia Tech
 
08:00-17:00, Paper MC-DLS.7 
Wiener Filter versus Recurrent Neural Network-Based 2D-Channel Estimation for V2X Communications

Fischer, MoritzUniversity of Stuttgart
Dörner, SebastianUniversity of Stuttgart
Cammerer, SebastianUniversity of Stuttgart
Shimizu, TakayukiToyota Motor North America, Inc
Cheng, BinUSA
Lu, HongshengToyota InfoTechnology Center
ten Brink, StephanUniversity of Stuttgart
 
08:00-17:00, Paper MC-DLS.8 
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling

Kueppers, FabianRuhr West University of Applied Sciences
Kronenberger, JanHochschule Ruhr West
Schneider, JonasElektronische Fahrwerksysteme GmbH
Haselhoff, AnselmHochschule Ruhr West
 
08:00-17:00, Paper MC-DLS.9 
Large Scale Autonomous Driving Scenarios Clustering with Self-Supervised Feature Extraction

Zhao, JinxinBaidu USA
Fang, JinBaidu
Ye, ZhixianBaidu
Zhang, LiangjunBaidu
 
08:00-17:00, Paper MC-DLS.10 
Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign Recognition: A Feasibility Study

Woitschek, FabianZF Friedrichshafen AG
Schneider, GeorgArtificial Intelligence Lab, ZF Friedrichshafen AG
 
08:00-17:00, Paper MC-DLS.11 
Safe Deep Reinforcement Learning for Adaptive Cruise Control by Imposing State-Specific Safe Sets

Brosowsky, MathisDr. Ing. H.c. F. Porsche AG; FZI Research Center for Information
Keck, FlorianKarlsruhe Institute of Technology
Ketterer, Jakob LaurentKarlsruhe Institute of Technology
Isele, Simon TobiasDr. Ing. H.c. F. Porsche AG
Slieter, DanielDr. Ing. H.c. F. Porsche AG
Zöllner, J. MariusFZI Research Center for Information Technology; KIT Karlsruhe In
 
08:00-17:00, Paper MC-DLS.12 
A DNN Based Driving Scheme for Anticipatory Car Following Using Road-Speed Profile

Isha, Most. Kaniz FatemaKhulna University of Engineering and Technology
Shawon, Md. Nazirul HasanKhulna University of Engineering & Technology
Shamim, Md.Khulna University of Engineering & Technology
Shakib, Md. NazmusKhulna University of Engineering & Technology, Khulna
Hashem, M.M.A.Khulna University of Engineering & Technology (KUET)
Kamal, Md Abdus SamadGunma University
 
08:00-17:00, Paper MC-DLS.13 
DR-TANet: Dynamic Receptive Temporal Attention Network for Street Scene Change Detection

Chen, ShuoKarlsruher Institut Für Technologie
Yang, KailunKarlsruhe Institute of Technology
Stiefelhagen, RainerKarlsruhe Institute of Technology
 
08:00-17:00, Paper MC-DLS.14 
Reducing the Breach between Simulated and Real Data for Top View Images

Astudillo, ArmandoUniversidad Carlos III De Madrid
Al-Kaff, AbdullaUniversidad Carlos III De Madrid
Madridano Carrasco, AngelUniversidad Carlos III De Madeis
Garcia, FernandoUniversidad Carlos III De Madrid
 
08:00-17:00, Paper MC-DLS.15 
An Interpretable Lane Change Detector Algorithm Based on Deep Autoencoder Anomaly Detection

De Candido, OliverTechnical University of Munich
Binder, MaximilianTechnical University of Munich
Utschick, WolfgangTechnische Universität München
 
08:00-17:00, Paper MC-DLS.16 
Credibility Enhanced Temporal Graph Convolutional Network Based Sybil Attack Detection on Edge Computing Servers

Luo, BaitingNorthwestern University
Liu, XiangguoNorthwestern University
Zhu, QiNorthwestern University
 
08:00-17:00, Paper MC-DLS.17 
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation

Hanselmann, NiklasMercedes-Benz AG, University of Tübingen
Schneider, NickMercedes-Benz AG
Ortelt, BenediktRobert Bosch GmbH
Geiger, AndreasMax Planck Institute for Intelligent Systems
 
08:00-17:00, Paper MC-DLS.18 
Boosting Supervised Learning Performance with Cotraining

Du, XinnanCarnegie Mellon University
Zhang, WilliamNVIDIA
Alvarez, José M.NVIDIA
 
08:00-17:00, Paper MC-DLS.19 
RSG-Net: Towards Rich Sematic Relationship Prediction for Intelligent Vehicle in Complex Environment

Tian, YafuNagoya University
Carballo, AlexanderNagoya University
Li, RuifengState Key Laboratory of Robotic and Intelligent System, Harbin I
Takeda, KazuyaNagoya University
 
MC-DSRS Room T3
Driver State Recognition Regular Session
 
08:00-17:00, Paper MC-DSRS.1 
Predicting Lane Change Decision Making with Compact Support

Huang, HuaFlorida State University
Barbu, AdrianFlorida State University
 
08:00-17:00, Paper MC-DSRS.2 
Driver State and Behavior Detection through Smart Wearables

Tavakoli, ArashUniversity of Virginia
Kumar, ShashwatUniversity of Virginia
Boukhechba, MehdiUniversity of Virginia
Arsalan Heydarian, ArsalanUniversity of Virginia
 
08:00-17:00, Paper MC-DSRS.3 
From Driver Talk to Future Action: Vehicle Maneuver Prediction by Learning from Driving Exam Dialogs

Roitberg, AlinaKarlsruhe Institute of Technology (KIT)
Reiß, SimonKarlsruhe Institute of Technology
Stiefelhagen, RainerKarlsruhe Institute of Technology
 
08:00-17:00, Paper MC-DSRS.4 
Passenger Detection, Counting, and Action Recognition for Self-Driving Public Transport Vehicles

Kao, Chih-FengNational Chung Cheng University
Lin, Huei-YungNational Chung Cheng University
 
08:00-17:00, Paper MC-DSRS.5 
Towards a Driver’s Gaze Zone Classifier Using a Single Camera Robust to Temporal and Permanent Face Occlusions

Lollett Paraponiaris, Catherine ElenaWaseda University
Kamezaki, MitsuhiroWaseda University
Sugano, ShigekiWaseda University
 
08:00-17:00, Paper MC-DSRS.6 
Smooth and Stopping Interval Aware Driving Behavior Prediction at Un-Signalized Intersection with Inverse Reinforcement Learning on Sequential MDPs

Yang, ShaoyuTokyo Institute of Technology
Yoshitake, HiroshiThe University of Tokyo
Shino, MotokiThe University of Tokyo
Shimosaka, MasamichiTokyo Institute of Technology
 
08:00-17:00, Paper MC-DSRS.7 
How Do Drivers Observe Surrounding Vehicles in Real-World Traffic? Estimating the Drivers Primary Observed Traffic Objects

Epple, NicoBMW Group
Chopra, HarshitTechnical University of Munich
Riener, AndreasUniversity of Applied Sciences Ingolstadt
 
08:00-17:00, Paper MC-DSRS.8 
Multivariate Time Series Analysis for Driving Style Classification Using Neural Networks and Hyperdimensional Computing

Schlegel, KennyChemnitz University of Technology
Mirus, FlorianBMW AG
Neubert, PeerTU Chemnitz
Protzel, PeterChemnitz University of Technology
 
08:00-17:00, Paper MC-DSRS.9 
In-Cabin Vehicle Synthetic Data to Test Deep Learning Based Human Pose Estimation Models

Tomal Ribas, Luis GustavoTechnische Hochschule Ingolstadt
Pereira Cocron, MartaTechnische Hochschule Ingolstadt
Lopes Da Silva, JoedResearch and Test Center CARISSMA, Technische Hochschule Ingolst
Zimmer, AlessandroFederal University of Paraná
Brandmeier, ThomasIngolstadt University of Applied Sciences
 
08:00-17:00, Paper MC-DSRS.10 
Prediction of Personalized Driving Behaviors Via Driver-Adaptive Deep Generative Models

Bao, NarenNagoya University
Carballo, AlexanderNagoya University
Takeda, KazuyaNagoya University
 
08:00-17:00, Paper MC-DSRS.11 
A Comparison of Methods for Sharing Recognition Information Indinterventions to Assist Recognition in Autonomous Driving System

Kuribayashi, AtsushiNagoya University
Takeuchi, EijiroNagoya University
Carballo, AlexanderNagoya University
Ishiguro, YoshioNagoya University
Takeda, KazuyaNagoya University
 
MC-EPS Room T4
Environment Perception Regular Session
 
08:00-17:00, Paper MC-EPS.1 
Low-Height Obstacle Detection and Avoidance by 3D Geometric Method and Deep Neural Network

Amemiya, TatsuyaMeijo University
Tasaki, TsuyoshiMeijo University
 
08:00-17:00, Paper MC-EPS.2 
Understanding Safety for Unmanned Aerial Vehicles in Urban Environments

Schmidt, TabeaTechnical University of Munich
Hauer, FlorianTechnical University of Munich
Pretschner, AlexanderTechnical University of Munich
 
08:00-17:00, Paper MC-EPS.3 
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving

Heidecker, FlorianUniversity of Kassel
Breitenstein, JasminTechnische Universität Braunschweig
Rösch, KevinFZI Forschungszentrum Informatik
Löhdefink, JonasTechnische Universität Braunschweig
Bieshaar, MaartenUniversity of Kassel
Stiller, ChristophKarlsruhe Institute of Technology
Fingscheidt, TimTechnische Universität Braunschweig
Sick, BernhardUniversity of Kassel
 
08:00-17:00, Paper MC-EPS.4 
Risk-Aware Lane Selection on Highway with Dynamic Obstacles

Bae, SangjaeHonda Research Institute, USA
Isele, DavidUniversity of Pennsylvania, Honda Research Institute USA
Fujimura, KikuoHonda Research Institute USA
Moura, ScottUniversity of Michigan
 
08:00-17:00, Paper MC-EPS.5 
Railway Obstacle Detection Using Unsupervised Learning: An Exploratory Study

Boussik, AmineIRT RAILENIUM
Ben-Messaoud, WaelIRT RAILENIUM
Smail Niar, SmailINSA Hauts-De France
Taleb-Ahmed, AbdelmalikUniversity Polytechnique Hauts-De-France
 
08:00-17:00, Paper MC-EPS.6 
Deep Speed Estimation from Synthetic and Monocular Data

Silva, João Paulo BarrosUniversidade Federal Da Bahia
Oliveira, LucianoFederal University of Bahia
 
08:00-17:00, Paper MC-EPS.7 
Open-Set Recognition Based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios

Balasubramanian, LakshmanTechnische Hochschule Ingolstadt
Kruber, FriedrichTechnische Hochschule Ingolstadt
Botsch, MichaelTechnische Hochschule Ingolstadt
Deng, KeRMIT University
 
08:00-17:00, Paper MC-EPS.8 
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity

Balasubramanian, LakshmanTechnische Hochschule Ingolstadt
Wurst, JonasTechnische Hochschule Ingolstadt
Botsch, MichaelTechnische Hochschule Ingolstadt
Deng, KeRMIT University
 
08:00-17:00, Paper MC-EPS.9 
Collision Detection System for Lane Change on Multi-Lanes Using Convolution Neural Network

Chung, SehoonHanyang University
Kim, DaejungHanyang Univercity
Kim, Jin SungHanyang University
Chung, Chung ChooHanyang University
 
08:00-17:00, Paper MC-EPS.10 
Auditory Scene Understanding for Autonomous Driving

Furletov, YuriTechnical University of Darmstadt
Willert, VolkerTU Darmstadt
Adamy, JürgenTU Darmstadt
 
08:00-17:00, Paper MC-EPS.11 
Model Guided Road Intersection Classification

Ballardini, Augusto LuisUniversidad De Alcala
Hernández Saz, ÁlvaroUniversity of Alcalá
Sotelo, Miguel A.University of Alcala
 
08:00-17:00, Paper MC-EPS.12 
SmartMOT: Exploiting the Fusion of HDMaps and Multi-Object Tracking for Real-Time Scene Understanding in Intelligent Vehicles Applications

Gómez-Huélamo, CarlosUniversity of Alcalá
Bergasa, Luis M.University of Alcala
Moreno, RodrigoUniversity of Alcalá
Arango, FelipeUniversity of Alcala
Diaz-Diaz, AlejandroUniversity of Alcala
 
MC-HFS Room T5
Human Factors Regular Session
 
08:00-17:00, Paper MC-HFS.1 
Introduction of the Double Image Contrast Ratio (DICR) for P-Polarized Head-Up Displays

Wagner, DanielMercedes-Benz AG
Muth, KonstantinHochschule Karlsruhe - Technik Und Wirtschaft, Mercedes-Benz AG
 
08:00-17:00, Paper MC-HFS.2 
Park4U Mate: Context Aware Digital Assistant for Personalized Autonomous Parking

Musabini, AntonyoValeo
Bozbayir, EvinValeo
Marcasuzaa, HervéValeo
Islas Ramírez, Omar AdairValeo
 
08:00-17:00, Paper MC-HFS.3 
Human Awareness versus Autonomous Vehicles View: Comparison of Reaction Times During Emergencies

Czarnul, PawelGdansk University of Technology
Rydzewski, AleksanderGdansk University of Technology
 
08:00-17:00, Paper MC-HFS.4 
“Look Me in the Eyes!” Analyzing the Effects of Embodiment in Humanized Human-Machine Interaction in Heavy Trucks

Fank, JanaTechnical University Munich
Diermeyer, FrankTechnische Universität München
 
08:00-17:00, Paper MC-HFS.5 
Importance of Instruction for Pedestrian-Automated Driving Vehicle Interaction with an External Human Machine Interface: Effects on Pedestrians' Situation Awareness, Trust, Perceived Risks and Decision Making

Liu, HaiLongNagoya University
Hirayama, TakatsuguUniversity of Human Environments
Watanabe, MasayaToyota Motor Corporation
 
MC-IRLSPS Room T6
Image, Radar, Lidar Signal Processing Regular Session
 
08:00-17:00, Paper MC-IRLSPS.1 
Occupant Body Imaging Based on Occupancy Grid Mapping

Kitamura, TakayukiMitsubishi Electric Corporation
Kumagai, TaroMitsubishi Electric Corporation
Takei, TakumiMitsubishi Electric Corporation
Matsushima, IsaoMitsubishi Electric Corporation
Oishi, NoboruMitsubishi Electric Corporation
Suwa, KeiMitsubishi Electric Corporation
 
08:00-17:00, Paper MC-IRLSPS.2 
Channel Boosting Feature Ensemble for Radar-Based Object Detection

Azam, ShoaibGIST
Munir, FarzeenGIST
Jeon, MoonguGIST
 
08:00-17:00, Paper MC-IRLSPS.3 
Radar Based Obstacle Detection in Unstructured Scene

Li, NingChina North Vehicle Research Institute
Su, BoChina North Vehicle Research Institute
 
08:00-17:00, Paper MC-IRLSPS.4 
RangeWeatherNet for LiDAR-Only Weather and Road Condition Classification

Sebastian, GeorgeMobis Technical Center Europe, Darmstadt University of Applied S
Vattem, TejaMobis Technical Center Europe
Lukic, LukaMobis Technical Center Europe
Buergy, ChristianDarmstadt University of Applied Sciences
Schumann, ThomasDarmstadt University of Applied Sciences
 
08:00-17:00, Paper MC-IRLSPS.5 
Spatio-Temporal Consistency for Semi-Supervised Learning Using 3D Radar Cubes

Lee, Wei-YuGhent University-Imec
Dimitrievski, MartinIMEC - IPI - Ghent University
Jovanov, LjubomirImec
Philips, WilfriedGhent University IMinds
 
08:00-17:00, Paper MC-IRLSPS.6 
Error Mitigation for Untrained Data Utilizing Generative Model in Vehicle Shape Estimation with Millimeter-Wave Radar by Deep Neural Network

Akita, TokihikoToyota Technological Institute
Kyutoku, HaruyaToyota Technological Institute
Tanikawa, UkyoSOKEN INC
Akamine, YusukeSOKEN INC
 
08:00-17:00, Paper MC-IRLSPS.7 
LiDAR Data Noise Models and Methodology for Sim-To-Real Domain Generalization and Adaptation in Autonomous Driving Perception

Espadinha, João MiguelInstituto Superior Técnico
Lebedev, IvanMobis Parts Europe
Lukic, LukaMobis Technical Center Europe
Bernardino, AlexandreIST - Instituto Superior Técnico
 
08:00-17:00, Paper MC-IRLSPS.8 
Investigation on Misclassification of Pedestrians As Poles by Simulation

Albrecht, Christian RudolfTechnical University of Munich
Névir, DanielMAN Truck & Bus SE
Hildebrandt, Arne-ChristophMAN Truck & Bus SE
Kraus, SvenTechnische Universität München
Stilla, UweTechnical University of Munich (TUM)
 
08:00-17:00, Paper MC-IRLSPS.9 
Learning Semantics on Radar Point-Clouds

Isele, Simon TobiasDr. Ing. H.c. F. Porsche AG
Klein, FabianEsslingen University of Applied Sciences
Brosowsky, MathisDr. Ing. H.c. F. Porsche AG; FZI Research Center for Information
Zöllner, J. MariusFZI Research Center for Information Technology; KIT Karlsruhe In
 
08:00-17:00, Paper MC-IRLSPS.10 
Online Orientation Prior for Dynamic Grid-Maps

Wessner, JosephZukunft Mobility GmbH
Utschick, WolfgangTechnische Universität München
 
08:00-17:00, Paper MC-IRLSPS.11 
Deterministic Guided LiDAR Depth Map Completion

Krauss, BryanTechnische Universität Berlin
Schroeder, GregoryIAV
Gustke, MarkoIntelligent Systems Functions Department, IAV GmbH
Hussein, AhmedIAV GmbH
 
08:00-17:00, Paper MC-IRLSPS.12 
Automated Selection of High-Quality Synthetic Images for Data-Driven Machine Learning: A Study on Traffic Signs

Horn, DanielaRuhr University Bochum
Janssen, LarsRuhr University Bochum
Houben, SebastianFraunhofer Institute for Intelligent Analysis and Information Sy
 
08:00-17:00, Paper MC-IRLSPS.13 
PillarSegNet: Pillar-Based Semantic Grid Map Estimation Using Sparse LiDAR Data

Fei, JuncongOpel Automobile GmbH
Peng, KunyuKarlsruhe Institute of Technology
Heidenreich, PhilippOpel Automobile GmbH
Bieder, FrankKarlsruhe Institute of Technology
Stiller, ChristophKarlsruhe Institute of Technology
 
08:00-17:00, Paper MC-IRLSPS.14 
Drivable Area Segmentation in Deteriorating Road Regions for Autonomous Vehicles Using 3D LiDAR

Ali, AbdelrahmanGerman University in Cairo
Gergis, MarkGerman University in Cairo
Abdennadher, SlimGerman University in Cairo (GUC)
El Mougy, AmrGerman University in Cairo
 
08:00-17:00, Paper MC-IRLSPS.15 
Vehicle Distance Measurement Based on Visible Light Communication Using Stereo Cameras

Huang, RuiyiNagoya University
Yamazato, TakayaNagoya University
Kinoshita, MasayukiChiba Institute of Technology
Okada, HirakuNagoya University
Kamakura, KojiChiba Institute of Technology
Arai, ShintaroOkayama University of Science
Yendo, TomohiroNagaoka University of Technology
Fujii, ToshiakiNagoya University
 
08:00-17:00, Paper MC-IRLSPS.16 
Robust Point-Shaped Landmark Detection Using Polarimetric Radar

Weishaupt, FabioMercedes-Benz AG
Will, Patrick S.Mercedes-Benz AG
Appenrodt, NilsDaimler AG
Tilly, Julius F.Mercedes-Benz AG
Dickmann, JürgenMercedes-Benz AG
Heberling, DirkInstitute of High Frequency Technology, RWTH Aachen
 
08:00-17:00, Paper MC-IRLSPS.17 
HSI-Drive: A Dataset for the Research of Hyperspectral Image Processing Applied to Autonomous Driving Systems

Basterretxea, KoldoUniversity of the Basque Country
Martinez, Maria VictoriaUniversity of the Basque Country
Echanobe, JavierUniversity of the Basque Country
Gutiérrez-Zaballa, JonUniversity of the Basque Country
del Campo, InesUniversity of the Basque Country
 
08:00-17:00, Paper MC-IRLSPS.18 
Towards Dynamic Master Determination in MEMS-Based Micro-Scanning LiDAR Systems

Stelzer, PhilippGraz University of Technology
Strasser, AndreasGraz University of Technology
Steger, ChristianGraz University of Technology
Druml, NorbertInfineon Technologies
 
MC-SLAMS Room T7
Mapping and Localization Regular Session
 
08:00-17:00, Paper MC-SLAMS.1 
Fully Automatic Large-Scale Point Cloud Mapping for Low-Speed Self-Driving Vehicles in Unstructured Environments

Gao, XiangIdriverplus.com
Wang, QiIdriverplus.com
Gu, HaoIdriverplus.com
Zhang, FangState Key Laboratory of Automotive Safety and Energy, Tsinghua U
Peng, GuoqiIdriverplus.com
Si, YiwenIdriverplus.com
Li, XiaofeiTsinghua University
 
08:00-17:00, Paper MC-SLAMS.2 
Persistent Homology in LiDAR-Based Ego-Vehicle Localization

Akai, NaokiNagoya University
Hirayama, TakatsuguUniversity of Human Environments
Murase, HiroshiNagoya University
 
08:00-17:00, Paper MC-SLAMS.3 
Fast Initialization for Monocular Map Matching Localization Via Multi-Lane Hypotheses in Highway Scenarios

Wen, TuopuTsinghua
Wijaya, BennyTsinghua University
Jiang, KunTsinghua University
Zheng, DongfangTencent America
Xu, YiliangTencent America
Yang, DongshengTencent
Yang, MengmengTsinghua University
Yang, DiangeState Key Laboratory of Automotive Safety and Energy, Collaborat
 
08:00-17:00, Paper MC-SLAMS.4 
Jamming Identification for GNSS-Based Train Localization Based on Singular Value Decomposition

Li, Jian-congBeijing Jiaotong University
Liu, JiangBeijing Jiaotong University
Cai, BaigenBeijing Jiaotong University
Wang, JianBeijing Jiaotong University
 
08:00-17:00, Paper MC-SLAMS.5 
Visual Localization for Autonomous Driving Using Pre-Built Point Cloud Maps

Yabuuchi, KentoThe University of Tokyo
Wong, David RobertTier IV, Inc
Ishita, TakeshiTier IV Inc., Nagoya University Open Innovation Center
Kitsukawa, YukiTierIV Inc
Kato, ShinpeiThe University of Tokyo
 
08:00-17:00, Paper MC-SLAMS.6 
Evaluation of High Definition Map-Based Self-Localization against Occlusions in Urban Area

Endo, YukiThe University of Tokyo
Javanmardi, EhsanThe University of Tokyo
Gu, YanleiRitsumeikan University
Kamijo, ShunsukeThe University of Tokyo
 
08:00-17:00, Paper MC-SLAMS.7 
Joint Learning of Feature Detector and Descriptor for Visual SLAM

Hu, HaohaoKarlsruhe Institute of Technology
Sackewitz, LukasKIT Karlsruhe Institute of Technology
Lauer, MartinKarlsruher Institut Für Technologie
 
08:00-17:00, Paper MC-SLAMS.8 
A Simulation-Based End-To-End Learning Framework for Evidential Occupancy Grid Mapping

van Kempen, RaphaelRWTH Aachen University
Lampe, BastianRWTH Aachen University
Woopen, TimoRWTH Aachen University
Eckstein, LutzRWTH Aachen University
 
08:00-17:00, Paper MC-SLAMS.9 
Road-Pulse: Pavement Vibration Features from Accelerator to Enhance Intelligent Vehicle Localization

Zhou, ZheWuhan University of Technology
Hu, ZhaozhengWuhan University of Technology
Li, NaWuhan University of Technology
Xiao, HanbiaoWuhan University of Technology
Zhang, JiananWuhan University of Technology
 
08:00-17:00, Paper MC-SLAMS.10 
Multi-Vehicle Cooperative SLAM Using Iterated Split Covariance Intersection Filter

Fang, SusuShanghai Jiao Tong University
Li, HaoShanghai Jiao Tong University
Yang, MingShanghai Jiao Tong University
 
08:00-17:00, Paper MC-SLAMS.11 
Using Thermal Vision for Extended VINS-Mono to Localize Vehicles in Large-Scale Outdoor Road Environments

Mengwen He, MengwenCarnegie Mellon University
Rajkumar, RagunathanCarnegie Mellon University
 
08:00-17:00, Paper MC-SLAMS.12 
Boosted Classifiers on 1D Signals and Mutual Evaluation of Independently Aligned Spatio-Semantic Feature Groups for HD Map Change Detection

Pauls, Jan-HendrikKarlsruhe Institute of Technology (KIT)
Strauss, TobiasRobert Bosch GmbH
Hasberg, CarstenRobert Bosch GmbH
Stiller, ChristophKarlsruhe Institute of Technology
 
08:00-17:00, Paper MC-SLAMS.13 
Lane Map Generation in Rectified Raster Maps with past Vehicle Traces

Guo, ChunzhaoToyota Research Institute, Inc
Wolcott, RyanUniversity of Michigan
Walls, JeffreyToyota Research Institute
 
MC-MPS Room T8
Motion Planning Regular Session
 
08:00-17:00, Paper MC-MPS.1 
Optimization-Based Maneuver Planning for a Tractor-Trailer Vehicle in Complex Environments Using Safe Travel Corridors

Cen, HangjieHunan University
Li, BaiHunan University
Acarman, TankutGalatasaray University
Zhang, YouminXi'an University of Technology
Ouyang, YakunHunan University
Dong, YiqunFudan University
 
08:00-17:00, Paper MC-MPS.2 
Trajectory-Based Failure Prediction for Autonomous Driving

Kuhn, Christopher BenjaminTechnical University of Munich
Hofbauer, MarkusTechnical University of Munich
Petrovic, GoranBMW Group
Steinbach, EckehardTechnische Universitaet Muenchen
 
08:00-17:00, Paper MC-MPS.3 
Surrounding Vehicle Trajectory Prediction and Dynamic Speed Planning for Autonomous Vehicle in Cut-In Scenarios

Lu, XiongTongji Unviersity
Fu, ZhiqiangTongji University
Zeng, DequanTongji University
Leng, BoTongji University
 
08:00-17:00, Paper MC-MPS.4 
Generalizing Decision Making for Automated Driving with an Invariant Environment Representation Using Deep Reinforcement Learning

Kurzer, KarlKarlsruhe Institute of Technology
Schörner, PhilipFZI Research Center for Information Technology
Albers, AlexanderKarlsruhe Institute of Technology
Thomsen, HaukeKarlsruhe Institute of Technology
Daaboul, KaramKarlsruhe Institute for Technology
Zöllner, J. MariusFZI Research Center for Information Technology; KIT Karlsruhe In
 
08:00-17:00, Paper MC-MPS.5 
Exemplar Trajectory Generation for Prior Driving Experience Re-Usage in Autonomous Driving

Tsuchiya, ChikaoNissan Motor Co., Ltd
Takei, ShoichiNissan Motor Co., Ltd
Sakai, KanakoNissan Motor Co., Ltd
Khiat, AbdelazizNissan Motor Co., Ltd
 
08:00-17:00, Paper MC-MPS.6 
Asymmetry-Based Behavior Planning for Cooperation at Shared Traffic Spaces

Wenzel, RaphaelHRI Europe GmbH; TU Darmstadt
Probst, MalteHonda Research Institute Europe
Puphal, TimHonda Research Institute Europe GmbH
Weisswange, Thomas H.Honda Research Institute Europe GmbH
Eggert, JulianHonda Research Institute Europe GmbH
 
08:00-17:00, Paper MC-MPS.7 
Risk-Aware Motion Planning for Autonomous Vehicles with Safety Specifications

Nyberg, TrulsKTH Royal Institute of Technology, Scania CV
Pek, ChristianKTH Royal Institute of Technology
Norén, ChristofferScania CV
Dal Col, LauraScania CV AB
Tumova, JanaKTH Royal Institute of Technology
 
08:00-17:00, Paper MC-MPS.8 
Curvature Aware Motion Planning with Closed-Loop Rapidly-Exploring Random Trees

van den Berg, BerendTU Eindhoven
Brito, BrunoDelft University of Technology
Alirezaei, MohsenFellow Engineer at Siemens
Alonso-Mora, JavierDelft University of Technology
 
08:00-17:00, Paper MC-MPS.9 
Flatness-Based Model Predictive Trajectory Planning for Cooperative Landing on Ground Vehicles

Hebisch, ChristophRWTH Aachen University, Institute of Automatic Control
Jackisch, SvenRWTH Aachen University, Chair and Institute of Flight System Dyn
Moormann, DieterRWTH Aachen University, Institute of Flight System Dynamics
Abel, DirkAachen University
 
08:00-17:00, Paper MC-MPS.10 
Computing Specification-Compliant Reachable Sets for Motion Planning of Automated Vehicles

Irani Liu, EdmondTechnical University of Munich
Althoff, MatthiasTechnische Universität München
 
08:00-17:00, Paper MC-MPS.11 
Optimal Decision Making for Automated Vehicles Using Homotopy Generation and Nonlinear Model Predictive Control

Patterson, Vivian Z.Stanford University
Lewis, Francis E.Stanford University
Gerdes, J ChristianStanford University
 
08:00-17:00, Paper MC-MPS.12 
Predicting Vehicles Trajectories in Urban Scenarios with Transformer Networks and Augmented Information

Quintanar, ÁlvaroUniversidad De Alcalá
Fernandez Llorca, DavidUniversity of Alcala
Parra Alonso, IgnacioUniversidad De Alcala
Izquierdo, RubénUniversity of Alcalá
Sotelo, Miguel A.University of Alcala
 
08:00-17:00, Paper MC-MPS.13 
Automatic Overtaking on Two-Way Roads with Vehicle Interactions Based on Deep Reinforcement Learning

Chen, XiaochangShanghai University
Wei, JieqiangEricsson
Ren, XiaoqiangShanghai University
Johansson, Karl H.Royal Institute of Technology
Wang, XiaofanShanghai University
 
08:00-17:00, Paper MC-MPS.14 
Scalable Monte Carlo Tree Search for CAVs Action Planning in Colliding Scenarios

Patel, DhruvkumarUniversity of Texas at Dallas
Zalila-Wenkstern, RymUniversity of Texas at Dallas
 
08:00-17:00, Paper MC-MPS.15 
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles

Ye, FeiUniversity of California, Berkeley
Shen Zhang, ShenGeorgia Tech
Wang, PinUniversity of California, Berkeley
Chan, Ching-YaoITS, University of California at Berkeley
 
08:00-17:00, Paper MC-MPS.16 
Efficient Sampling in POMDPs with Lipschitz Bandits for Motion Planning in Continuous Spaces

Tas, Omer SahinFZI Research Center for Information Technology
Hauser, FelixFZI Research Center for Information Technology
Lauer, MartinKarlsruher Institut Für Technologie
 
MC-SDFS Room T9
Sensor and Data Fusion Regular Session
 
08:00-17:00, Paper MC-SDFS.1 
Deep Fusion-Based Visible and Thermal Camera Forecasting Using Seq2Seq GAN

John, VijayToyota Technological Institute
Lakshmanan, AnnamalaiToyota Technological Institute
Boyali, AliTier4
Thompson, SimonTier IV
Mita, SeiichiToyota Technological Institute
 
08:00-17:00, Paper MC-SDFS.2 
Temp-Frustum Net: 3D Object Detection with Temporal Fusion

Ercelik, EmecTechnical University of Munich
Yurtsever, EkimThe Ohio State University
Knoll, AloisTechnische Universität München
 
08:00-17:00, Paper MC-SDFS.3 
A Loosely Coupled Vision-LiDAR Odometry Using Covariance Intersection Filtering

Chen, SongmingEcole Centrale De Nantes
Fremont, VincentEcole Centrale De Nantes, CNRS, LS2N, UMR 6004
 
08:00-17:00, Paper MC-SDFS.4 
Multimodal Fusion Using Deep Learning Applied to Driver’s Referencing of Outside-Vehicle Objects

Aftab, Abdul RafeyBMW AG
von der Beeck, MichaelBMW Group, Munich
Rohrhirsch, StevenBMW Car IT GmbH
Diotte, BenoitBMW Group
Feld, MichaelGerman Research Center for Artificial Intelligence (DFKI), Saarb
 
08:00-17:00, Paper MC-SDFS.5 
Optimization Based 3D Multi-Object Tracking Using Camera and Radar Data

Pöschmann, JohannesChemnitz University of Technology
Pfeifer, TimChemnitz University of Technology
Protzel, PeterChemnitz University of Technology
 
MC-SAPS Room T10
Simulation Analysis and Planning Regular Session
 
08:00-17:00, Paper MC-SAPS.1 
Maneuver-Based Resimulation of Driving Scenarios Based on Real Driving Data

Montanari, FrancescoAUDI AG, FAU Erlangen-Nürnberg
Stadler, ChristophAUDI AG, FAU Erlangen-Nuremberg
Sichermann, JörgEFS - Elektronische Fahrwerksysteme GmbH
German, ReinhardUniversity of Erlangen-Nuremburg
Djanatliev, AnatoliFriedrich-Alexander University Erlangen, Department for Computer
 
08:00-17:00, Paper MC-SAPS.2 
A Real-Time Co-Simulation Framework for Virtual Test and Validation on a High Dynamic Vehicle Test Bed

Li, HexuanGraz University of Technology
Makkapati, Vamsi PrakashKS Engineers
Nalic, DeminTechnische Universität Graz
Eichberger, ArnoTU Graz
Fang, XuanBudapest University of Technology and Economics
Tettamanti, TamásBudapest University of Technology and Economics
 
08:00-17:00, Paper MC-SAPS.3 
Simulation-Based Parameter Identification for Accuracy Definitions in Virtual Environment Models for Validation of Automated Driving

Stadler, ChristophAUDI AG, FAU Erlangen-Nuremberg
Rauner, Kevin(Technische Universität Dresden, TraceTronic)
German, ReinhardUniversity of Erlangen-Nuremburg
Djanatliev, AnatoliFriedrich-Alexander University Erlangen, Department for Computer
 
08:00-17:00, Paper MC-SAPS.4 
Validation Method of a Self-Driving Architecture for Unexpected Pedestrian Scenario in CARLA Simulator

Moreno, RodrigoUniversity of Alcalá
Arango, FelipeUniversity of Alcala
Gómez-Huélamo, CarlosUniversity of Alcalá
Bergasa, Luis M.University of Alcala
Barea, RafaelUniversity of Alcala
Araluce, JavierUniversity of Alcala
 
MC-SITMS Room T11
Smart Infrastructure and Traffic Management Regular Session
 
08:00-17:00, Paper MC-SITMS.1 
Simulation-Based Impact of Connected Vehicles in Platooning Mode on Travel Time, Emissions and Fuel Consumption

Validi, AsoChair Sustainable Transport Logistics 4.0, Johannes Kepler Unive
Olaverri-Monreal, CristinaJohannes Kepler University Linz
 
08:00-17:00, Paper MC-SITMS.2 
Fleet Fairness and Fleet Efficiency in Capacitated Pickup and Delivery Problems

Aleksandrov, Martin DamyanovTechnical University Berlin
 
08:00-17:00, Paper MC-SITMS.3 
Vehicle Routing Optimized for Autonomous Driving

Samara, AdamBMW Group
Rempe, FelixBMW Group
Göttlich, SimoneUniversity of Mannheim
 
08:00-17:00, Paper MC-SITMS.4 
How to Monitor Multiple Autonomous Vehicles Remotely with Few Observers: An Active Management Method

Ding, MingNagoya University
Takeuchi, EijiroNagoya University
Ishiguro, YoshioNagoya University
Ninomiya, YoshikiNagoya University
Kawaguchi, NobuoNagoya University
Takeda, KazuyaNagoya University
 
08:00-17:00, Paper MC-SITMS.5 
Benefit of Smart Infrastructure on Urban Automated Driving - Using an AV Testing Framework

Pechinger, MathiasUniversity of Applied Sciences Augsburg
Schroeer, GuidoSiemens Mobility GmbH
Bogenberger, KlausTechnical University of Munich
Markgraf, CarstenUniversity of Applied Sciences Augsburg
 
08:00-17:00, Paper MC-SITMS.6 
Coordinated Electric Vehicle Re-Charging to Reduce Impact on Daily Driving Schedule

Schoenberg, SvenPaderborn University
Buse, Dominik S.TU Berlin and Paderborn University
Dressler, FalkoTU Berlin
 
08:00-17:00, Paper MC-SITMS.7 
Evaluation of Macroscopic Fundamental Diagram Transition in the Era of Connected and Autonomous Vehicles

Halakoo, MohammadMcMaster University
Hao Yang, HaoMcMaster University
 
08:00-17:00, Paper MC-SITMS.8 
Speed Harmonization for Partially Connected and Automated Traffic

An, LianhuaTongji University
Lai, JintaoTongji University
Yang, XianfengUniversity of Utah
Shen, TiandongZhejiang Taiyuan Technology Co., Ltd
Hu, JiaTongji University, Federal Highway Administration
 
08:00-17:00, Paper MC-SITMS.9 
Urban Traffic Surveillance (UTS): A Fully Probabilistic 3D Tracking Approach Based on 2D Detections

Bradler, HenryGoethe University Frankfurt
Kretz, AdrianGoethe University Frankfurt
Mester, RudolfNTNU Trondheim
 
MC-VCS Room T12
Vehicle Control Regular Session
 
08:00-17:00, Paper MC-VCS.1 
Modeling of the Evolution of the Brake Friction in Disc Brakes Based on a Novel Observer

Shi, BiaofeiTongji University
Zhuo, GuirongTongji University
Lu, XiongTongji Unviersity
Liu, YangTongji University
Yu, ZhuopingTongji University
 
08:00-17:00, Paper MC-VCS.2 
Speed Tracking Control Using Model-Based Reinforcement Learning in a Real Vehicle

Puccetti, LucaBMW Group
Yasser, AhmedBMW Group
Rathgeber, ChristianBMW Group
Andreas Becker, AndreasFachhochschule Dortmund University of Applied Sciences and Arts
Hohmann, SoerenKarlsruhe Institute of Technology
 
08:00-17:00, Paper MC-VCS.3 
Path Tracking Control of Autonomous Ground Vehicles Via Model Predictive Control and Deep Deterministic Policy Gradient Algorithm

Xue, ZhongjinTsinghua University
Li, LiangTsinghua University
Zhong, ZhihuaTsinghua University
Zhao, JintaoTsinghua University
 
08:00-17:00, Paper MC-VCS.4 
An MPC-Based Controller Framework for Agile Maneuvering of Autonomous Vehicles

Qi, YuZhejiang University
Zhang, ZhimingZhejiang University
Hu, ChengZhejiang University
Zhou, XiaolingZhejiang University
Xie, LeiZhejiang University
Su, HongyeZhejiang University
 
08:00-17:00, Paper MC-VCS.5 
Geometrical Based Trajectory Calculation for Autonomous Vehicles in Multi-Vehicle Traffic Scenarios

Morsali, MahdiLinköping University
Frisk, ErikLinköping University
Åslund, JanLinköping University
 
08:00-17:00, Paper MC-VCS.6 
GPU Based Model-Predictive Path Control for Self-Driving Vehicles

Chajan, EduardFH Aachen
Schulte-Tigges, JoschuaFH Aachen
Reke, MichaelFH Aachen
Ferrein, Alexander AntoineFH Aachen
Matheis, DominikHyundai Motor Europe Technical Center GmbH
Walter, ThomasHyundai Motor Europe Technical Center GmbH
 
08:00-17:00, Paper MC-VCS.7 
Virtual-Coupling Operation for High-Speed Rail Based on Following-Train Speed Profile Optimization

Xu, BinCornell University
Wu, ChaoxianXi'an Jiaotong-Liverpool University, China and University of Liv
Lu, ShaofengSouth China University of Technology
Xue, FeiXi'an Jiaotong-Liverpool University
 
08:00-17:00, Paper MC-VCS.8 
A Model Predictive Control Based Path Tracker in Mixed-Domain

Hu, JiaTongji University, Federal Highway Administration
Feng, YongweiTongji University
Li, XinDalian Maritime University
Wang, HaoranTongji University
 
08:00-17:00, Paper MC-VCS.9 
Comparative Study of Prediction Models for Model Predictive Path-Tracking Control in Wide Driving Speed Range

Aoki, MizuhoNagoya University
Honda, KoheiNagoya University
Okuda, HiroyukiNagoya University
Suzuki, TatsuyaNagoya University
 
08:00-17:00, Paper MC-VCS.10 
Deep Reinforcement Learning Based Control Algorithms: Training and Validation Using the ROS Framework in CARLA Simulator for Self-Driving Applications

Pérez-Gil, ÓscarUniversity of Alcala
Barea, RafaelUniversity of Alcala
López-Guillén, ElenaUniversity of Alcalá
Bergasa, Luis M.University of Alcala
Gómez-Huélamo, CarlosUniversity of Alcalá
Moreno, RodrigoUniversity of Alcalá
Diaz-Diaz, AlejandroUniversity of Alcala
 
08:00-17:00, Paper MC-VCS.11 
Reversing General 2-Trailer Vehicles Using a 2D Steering Function Model and a Novel Mesh Search Algorithm

Töws, PhilippUniversity Koblenz-Landau
Zoebel, DieterUniversity Koblenz-Landau
 
08:00-17:00, Paper MC-VCS.12 
Jerk-Minimized CILQR for Human-Like Driving on Two-Lane Roadway

Jahanmahin, OmidCarnegie Mellon University
Lin, QinCarnegie Mellon University
Pan, YanjunCarnegie Mellon University
Dolan, JohnCarnegie Mellon University
 
08:00-17:00, Paper MC-VCS.13 
Probabilistic Collision Avoidance for Multiple Robots: A Closed Form PDF Approach

Gopala Krishna, JosyulaIIIT Hyderabad
Ramesh, AnirudhaRobotics Research Center, KCIS, IIIT Hyderabad
Krishna, K MadhavaIIIT Hyderabad
 
MC-VSPS Room T13
Vision Sensing and Perception Regular Session
 
08:00-17:00, Paper MC-VSPS.1 
Autoencoder Based Inter-Vehicle Generalization for In-Cabin Occupant Classification

Dias Da Cruz, SteveIEE S.A
Taetz, BertramDFKI GmbH
Wasenmüller, OliverHS Mannheim
Stifter, ThomasIEE S.A
Didier, StrickerDFKI GmbH, University of Kaiserslautern
 
08:00-17:00, Paper MC-VSPS.2 
Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder

Wurst, JonasTechnische Hochschule Ingolstadt
Balasubramanian, LakshmanTechnische Hochschule Ingolstadt
Botsch, MichaelTechnische Hochschule Ingolstadt
Utschick, WolfgangTechnische Universität München
 
08:00-17:00, Paper MC-VSPS.3 
CalQNet - Detection of Calibration Quality for Life-Long Stereo Camera Setups

Zhong, JiapengETH Zurich
Ye, ZheyuETH Zurich
Cramariuc, AndreiETH Zurich
Tschopp, FlorianETH Zürich
Chung, Jen JenETH Zürich
Siegwart, RolandETH Zurich
Cadena, CesarETH Zurich
 
08:00-17:00, Paper MC-VSPS.4 
Self-Supervised Learning of Camera-Based Drivable Surface Roughness

Cech, JanCzech Technical University in Prague, Faculty of Electrical Engi
Hanis, TomasCzech Technical University in Prague, Faculty of Electrical Engi
Konopisky, AdamCzech Technical University in Prague, Faculty of Electrical Engi
Rutrle, TomášCzech Technical University in Prague
Švancar, JanCzech Technical University in Prague
Twardzik, TomášCzech Technical University in Prague
 
08:00-17:00, Paper MC-VSPS.5 
Combined Road Tracking for Paved Roads and Dirt Roads: Framework and Image Measurements

Forkel, BiancaUniversität Der Bundeswehr München
Kallwies, JanUniversity of the Bundeswehr Munich
Wuensche, Hans Joachim JoeUniversität Der Bundeswehr München
 
08:00-17:00, Paper MC-VSPS.6 
PCRLaneNet: Lane Marking Detection Via Point Coordinate Regression

Wang, PanXi'an Jiaotong University
Xue, JianruXi'an Jiaotong University
Dou, JianLaboratory of Visual Cognitive Computing and Intelligent Vehicle
Wang, DiXi'an Jiaotong University
Haibo Zhao, HaiboXi'an Jiaotong University
 
08:00-17:00, Paper MC-VSPS.7 
Bi-Directional Attention Feature Enhancement for Video Instance Segmentation

Fu, TianyunTsinghua University
Hu, JianmingTsinghua University
 
08:00-17:00, Paper MC-VSPS.8 
Continual Learning for Class and Domain-Incremental Semantic Segmentation

Kalb, TobiasPorsche Engineering Services GmbH
Roschani, MasoudFraunhofer IOSB
Ruf, MiriamFraunhofer IOSB
Beyerer, JürgenFraunhofer Institute of Optronics, Systems Technologies and Imag
 
08:00-17:00, Paper MC-VSPS.9 
Temporal Semantics Auto-Encoding Based Moving Objects Detection in Urban Driving Scenarios

Fahad Lateef, FahadUniversity Technology Belfort-Montbeliard
Kas, MohamedUniversity Technology Belfort-Montbeliard
Ruichek, YassineUniv of Tech of Belfort-Montbeliard
 
08:00-17:00, Paper MC-VSPS.10 
Dynamic Door Modeling for Monocular 3D Vehicle Detection

Barowski, ThomasBMW AG
Brehme, AndreBMW AG
Szczot, MagdalenaBMW AG
Houben, SebastianFraunhofer Institute for Intelligent Analysis and Information Sy
 
08:00-17:00, Paper MC-VSPS.11 
Automatic Data Collection Using In-Vehicle Camera Images for Training Machine Learning-Based Local Image Feature Matchers

Kyutoku, HaruyaToyota Technological Institute
Akita, TokihikoToyota Technological Institute
Mita, SeiichiToyota Technological Institute
 
08:00-17:00, Paper MC-VSPS.12 
AUTOMATUM DATA: Drone-Based Highway Dataset for the Development and Validation of Automated Driving Software for Research and Commercial Applications

Spannaus, PaulElektronische Fahrwerksysteme GmbH (EFS)
Zechel, PeterAutomatum Data
Lenz, KilianAutomatum Data
 
08:00-17:00, Paper MC-VSPS.13 
Image Captioning for Near-Future Events from Vehicle Camera Images and Motion Information

Mori, YukiChubu University
Hirakawa, TsubasaChubu University
Yamashita, TakayoshiChubu University
Fujiyoshi, HironobuChubu University
 
08:00-17:00, Paper MC-VSPS.14 
Traffic4D: Single View Reconstruction of Repetitious Activity Using Longitudinal Self-Supervision

Li, FangyuNVIDIA
Narapureddy, Dinesh ReddyCarnegie Mellon University
Chen, XudongCarnegie Mellon University
Narasimhan, SrinivasaCarnegie Mellon University
 
08:00-17:00, Paper MC-VSPS.15 
Estimating Dense Optical Flow of Objects for Autonomous Vehicles

Ee Heng Chen, Ee HengTechnical University of Munich
Zeisler, JoeranBMW AG
Burschka, DariusTechnical University Munich
 
08:00-17:00, Paper MC-VSPS.16 
Investigating Binary Neural Networks for Traffic Sign Detection and Recognition

Chen, Ee HengTechnical University of Munich
Vemparala, Manoj RohitBMW AG
Fasfous, NaelTechnical University of Munich
Frickenstein, AlexanderBMW AG
Mzid, AhmedBMW AG
Nagaraja, Naveen ShankarBMW Group
Zeisler, JoeranBMW AG
Stechele, WalterTechnical University of Munich (TUM)
 
08:00-17:00, Paper MC-VSPS.17 
Real Time Monocular Vehicle Velocity Estimation Using Synthetic Data

Mccraith, RobertOxford University
Neumann, LukasCzech Technical University
Vedaldi, AndreaUniversity of Oxford
 
08:00-17:00, Paper MC-VSPS.18 
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding Via Domain Adaptation

Alshammari, NaifDurham University
Akcay, SametDurham University
Breckon, TobyDurham University
 
08:00-17:00, Paper MC-VSPS.19 
Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding Via Unsupervised Contrastive Learning

Jaus, AlexanderKarlsruhe Institute of Technology
Yang, KailunKarlsruhe Institute of Technology
Stiefelhagen, RainerKarlsruhe Institute of Technology
 
08:00-17:00, Paper MC-VSPS.20 
Multi-Modal Learning for Real-Time Automotive Semantic Foggy Scene Understanding Via Domain Adaptation

Alshammari, NaifDurham University
Akcay, SametDurham University
Breckon, TobyDurham University
 
08:00-17:00, Paper MC-VSPS.21 
Multiple Scale Aggregation with Patch Multiplexing for High-Speed Inter-Vehicle Distance Estimation

Hirano, MasahiroUniversity of Tokyo
Yamakawa, YujiThe University of Tokyo
Senoo, TakuHiroshima University
Kishi, NorimasaUniversity of Tokyo
Ishikawa, MasatoshiThe University of Tokyo
 
08:00-17:00, Paper MC-VSPS.22 
Perceptual Evaluation of Driving Scene Segmentation

Ding, LiUMass Amherst
Sherony, RiniToyota Motor North America
Mehler, BruceMassachusetts Institute of Technology
Reimer, BryanMIT
 
08:00-17:00, Paper MC-VSPS.23 
Real-Time Rain Severity Detection for Autonomous Driving Applications

Kondapalli, Chaitanya Pavan TanayZF India Private Limited
Veer, Vaibhav PrakashZF India Private Limited
Konda, Krishna ReddySMR Automotive India Ltd
Kyatham, Praveen KumarZF India Private Limited
Kondoju, Bhanu PrakashZF India Private Limited
 
08:00-17:00, Paper MC-VSPS.24 
MPR-Net: Multi-Scale Key Points Regression for Lane Detection

Zhu, DantongXi'an Jiaotong University
Huang, YuhaoInstitute of Artificial Intelligence and Robotics in Xi’an Jiaot
Wang, ShengqiInstitute of Artificial Intelligence and Robotics, Xi' an Jiaoto
Chen, ShitaoXi'an Jiaotong University, Xi'an, China
Nan, ZhixiongXi'an Jiaotong University
Zheng, NanningXi'an Jiaotong University
 
08:00-17:00, Paper MC-VSPS.25 
Sun-Glare Region Recognition Using Visual Explanations for Traffic Light Detection

Yoneda, KeisukeKanazawa University
Ichihara, NaokiKanazawa University
Kawanishi, HotsuyukiKanazawa University
Okuno, TadashiKanazawa University
Cao, LuKanazawa University
Suganuma, NaokiKanazawa University
 
08:00-17:00, Paper MC-VSPS.26 
Opportunities and Challenges for Flagman Recognition in Autonomous Vehicles

Shi, WeijingCarnegie Mellon University
Kishon, EranGeneral Motors Israel Advanced Technical Center
Rajkumar, RagunathanCarnegie Mellon University
 
08:00-17:00, Paper MC-VSPS.27 
Temporal Feature Networks for CNN Based Object Detection

Weber, MichaelFZI Research Center for Information Technology
Wald, TassiloFZI Research Center for Information Technology
Zöllner, J. MariusFZI Research Center for Information Technology; KIT Karlsruhe In
 
MC-VRUS Room T14
Vulnerable Road Users Regular Session
 
08:00-17:00, Paper MC-VRUS.1 
Automatic for the People - How Prior Encounters Shape Prospected Interactions with Automated Shuttles

Tinga, Angelica MariaDutch Institute for Road Safety Research (SWOV)
de Zwart, RinsDutch Institute for Road Safety Research (SWOV)
Jansen, Reinier J.Dutch Institute for Road Safety Research (SWOV)
de Goede, MaartjeDutch Institute for Road Safety Research (SWOV)
 
08:00-17:00, Paper MC-VRUS.2 
Pose-Guided Person Image Synthesis for Data Augmentation in Pedestrian Detection

Zhi, RongDaimler Greater China
Guo, ZijieMercedes-Benz Reseach & Development Center, Daimler Greater Chin
Zhang, WuqiangDaimler Greater China
Wang, BaofengResearch and Development Center Mercedes-Benz, Daimler Greater C
Kaiser, VitaliMercedes-Benz AG
Wiederer, JulianDaimler AG
Flohr, FabianMercedes-Benz AG
 
08:00-17:00, Paper MC-VRUS.3 
SCOUT: Socially-COnsistent and UndersTandable Graph Attention Network for Trajectory Prediction of Vehicles and VRUs

Carrasco Limeros, SandraUniversity of Alcala
Sotelo, Miguel A.University of Alcala
Fernandez Llorca, DavidUniversity of Alcala
 
08:00-17:00, Paper MC-VRUS.4 
Applying the Extended Theory of Planned Behavior to Pedestrian Intention Estimation

Wu, HaoranTsinghua University
Zheng, SifaTsinghua University
Xu, QingTsinghua University
Wang, JianqiangTsinghua University
 
08:00-17:00, Paper MC-VRUS.5 
Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios

Zhang, ChiUniversity of Gothenburg
Berger, ChristianChalmers | University of Gothenburg
Dozza, MarcoChalmers University
 
08:00-17:00, Paper MC-VRUS.6 
Reconfigurable Propagation Environment for Enhancing Vulnerable Road Users' Visibility to Automotive Radar

K.Dehkordi, SaeidTU Berlin
Caire, GiuseppeTU Berlin
 
08:00-17:00, Paper MC-VRUS.7 
Pedestrian Behavior in Japan and Germany: A Review

Hell, LorenaGerman Research Center for Artificial Intelligence
Sprenger, JanisGerman Research Center for Artificial Intelligence (DFKI)
Klusch, MatthiasGerman Research Center for AI (DFKI)
Kobayashi, YoshiyukiNational Institute of Advanced Industrial Science and Technology
Müller, ChristianGerman Research Center for Artificial Intelligence
 
08:00-17:00, Paper MC-VRUS.8 
UrbanPose: A New Benchmark for VRU Pose Estimation in Urban Traffic Scenes

Wang, SijiaTsinghua University
Yang, DiangeState Key Laboratory of Automotive Safety and Energy, Collaborat
Wang, BaofengResearch and Development Center Mercedes-Benz, Daimler Greater C
Guo, ZijieMercedes-Benz Reseach & Development Center, Daimler Greater Chin
Verma, Rishabh KumarMercedes Benz Research and Development India
Ramesh, JayanthMercedes Benz
Weinrich, ChristophRobert Bosch GmbH
Kressel, UlrichDaimler AG
Flohr, FabianMercedes-Benz AG
 
08:00-17:00, Paper MC-VRUS.9 
Simple Pair Pose - Pairwise Human Pose Estimation in Dense Urban Traffic Scenes

Braun, MarkusMercedes-Benz AG
Flohr, FabianMercedes-Benz AG
Krebs, SebastianMercedes-Benz AG
Kressel, UlrichDaimler AG
Gavrila, Dariu M.TU Delft
 
08:00-17:00, Paper MC-VRUS.10 
STGT: Forecasting Pedestrian Motion Using Spatio-Temporal Graph Transformer

Syed, ArsalUniversity of Nevada, Las Vegas
Morris, BrendanUniversity of Nevada, Las Vegas

 
 

 
 

 

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