IEEE IV 2020 Sponsored by the
IEEE Intelligent Transportation Systems Society
31st IEEE Intelligent Vehicles Symposium 31st IEEE Intelligent Vehicles Symposium October 20-23, 2020. Las Vegas, USA
2020 IEEE Intelligent Vehicles Symposium (IV)
October 20-23, 2020, Las Vegas, NV, USA

Program at a Glance    Tuesday    Wednesday    Thursday    Friday    Author Index    Keyword Index  

Last updated on July 6, 2020. This conference program is tentative and subject to change

Technical Program for Thursday October 22, 2020

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Keynote 2 Plenary Session
Image, Radar, Lidar Signal Processing. A Regular Session
09:25-09:30, Paper ThAM1_T1.1 
Automatic Interaction Detection between Vehicles and Vulnerable Road Users During Turning at an Intersection

Cheng, HaoLeibniz Universität Hannover
Liu, HaiLongNagoya University
Hirayama, TakatsuguNagoya University
Shinmura, FumitoNagoya University
Akai, NaokiNagoya University
Murase, HiroshiNagoya University
09:30-09:35, Paper ThAM1_T1.2 
Multi-Depth Sensing for Applications with Indirect Solid-State LiDAR

Schoenlieb, ArminInfineon
Lugitsch, DavidInfineon Technologies
Steger, ChristianGraz University of Technology
Holweg, GeraldInfineon
Druml, NorbertInfineon Technologies
09:35-09:40, Paper ThAM1_T1.3 
SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving

Aksoy, Eren ErdalHalmstad University
Baci, SaimirVolvo
Cavdar, SelcukVolvo
09:40-09:45, Paper ThAM1_T1.4 
SiaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection

Cortés, IreneUniversidad Carlos III De Madrid
Beltrán, JorgeUniversidad Carlos III De Madrid
de la Escalera, ArturoUniversidad Carlos III De Madrid
Garcia, FernandoUniversidad Carlos III De Madrid
09:45-09:50, Paper ThAM1_T1.5 
Single-Stage Object Detection from Top-View Grid Maps on Custom Sensor Setups

Wirges, SaschaKarlsruhe Institute of Technology
Ding, ShuxiaoKarlsruhe Institute of Technology
Stiller, ChristophKarlsruhe Institute of Technology
09:50-09:55, Paper ThAM1_T1.6 
Estimation of 2D Bounding Box Orientation with Convex-Hull Points – a Quantitative Evaluation on Accuracy and Efficiency

Liu, YangHuawei Technologies Canada
Liu, BingbingHuawei
Zhang, HongboHuawei Technologies Co., Ltd
09:55-10:00, Paper ThAM1_T1.7 
Improving 3D Object Detection Via Joint Attribute-Oriented 3D Loss

Ye, ZhenXi’an Jiaotong University, Xi’an, P.R.China
Xue, JianruXi'an Jiaotong University
Dou, JianLaboratory of Visual Cognitive Computing and Intelligent Vehicle
Pan, YuxinXi'an Jiaotong University
Fang, JianwuChang'an University
Wang, DiXi'an Jiaotong University
Zheng, NanningXi'an Jiaotong University
10:00-10:05, Paper ThAM1_T1.8 
Cluster Analysis of Vehicle Measurement Data for Improved Understanding of Behavior in Urban and Highway Environments

Sonka, AdrianInstitute of Automotive Engineering, Technical University Brauns
Thal, SilviaTechnische Universität Braunschweig, Institute of Automotive Eng
Henze, RomanTechnical University of Braunschweig
Beernaert, KellyIbeo Automotive Systems GmbH
Lages, UlrichIbeo Automotive Systems GmbH
Motion Planning. A Regular Session
09:25-09:30, Paper ThAM1_T2.1 
Machine Learning Based Motion Planning Approach for Intelligent Vehicles

Artunedo, AntonioCentre for Automation and Robotics (CSIC-UPM)
Corrales, GabrielCentre for Automation and Robotics
Villagra, JorgeCentre for Automation and Robotics (CSIC-UPM)
Godoy, JorgeCentre for Automation and Robotics (UPM-CSIC)
09:30-09:35, Paper ThAM1_T2.2 
Off-Road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning

Zhu, ZeyuKey Labarotary of Machine Perception, Peking University
Li, NanPeking University
Sun, RuoyuUniversity of Manchester
Xu, DonghaoPeking University
Zhao, HuijingPeking University
09:35-09:40, Paper ThAM1_T2.3 
Optimal Vehicle Path Planning Using Quadratic Optimization for Baidu Apollo Open Platform

Zhang, YajiaBaidu USA
Sun, HongyiBaidu USA LLC
Zhou, JinyunBaidu Usa Llc
Pan, JiachengBaidu USA
Hu, JiangtaoBaidu USA
Miao, JinghaoBaidu USA
09:40-09:45, Paper ThAM1_T2.4 
Collision-Free Path Planning for Automated Vehicles Risk Assessment Using Predictive Occupancy Map

Shen, DanIndiana University – Purdue University Indianapolis
Chen, YaobinPurdue School of Engineering and Technology, IUPUI
Li, LingxiIndiana University-Purdue University Indianapolis
Chien, StanleyIndiana University-Purdue University Indianapolis
09:45-09:50, Paper ThAM1_T2.5 
Probabilistic Long-Term Vehicle Trajectory Prediction Via Driver Awareness Mode

Liu, JinxinTsinghua University
Xiong, HuiTsinghua University
Huang, HeyeTsinghua University
Luo, YugongTsinghua University, Beijing
Zhong, ZhihuaTsinghua University
Li, KeqiangTsinghua University
09:50-09:55, Paper ThAM1_T2.6 
A Geometric Approach to On-Road Motion Planning for Long and Multi-Body Heavy-Duty Vehicles

Oliveira, RuiKTH Royal Institute of Technology
Ljungqvist, OskarLinköping University
Lima, Pedro F.KTH Royal Institute of Technology
Wahlberg, BoKTH Royal Institute of Technology
09:55-10:00, Paper ThAM1_T2.7 
Clustering Traffic Scenarios Using Mental Models As Little As Possible

Hauer, FlorianTechnical University of Munich
Gerostathopoulos, IliasVrije Universiteit Amsterdam
Schmidt, TabeaTechnical University of Munich
Pretschner, AlexanderTechnical University of Munich
10:00-10:05, Paper ThAM1_T2.8 
CommonRoad Drivability Checker: Simplifying the Development and Validation of Motion Planning Algorithms

Pek, ChristianTechnical University of Munich
Rusinov, VitaliyTechnical University of Munich
Manzinger, StefanieTechnische Universität München
Üste, Murat CanTechnical University of Munich
Althoff, MatthiasTechnische Universität München
Driver State Recognition. A Regular Session
09:25-09:30, Paper ThAM1_T3.1 
Identifying High-Risk Older Drivers by Head-Movement Monitoring Using a Commercial Driver Monitoring Camera

Yoshihara, YukiNagoya University
Tanaka, TakahiroNagoya University
Osuga, ShinAisin Seiki Co., Ltd
Fujikake, KazuhiroNagoya University
Karatas, NihanNagoya University
Kanamori, HitoshiNagoya Univ
09:30-09:35, Paper ThAM1_T3.2 
Analysis of Distraction and Driving Behavior Improvement Using a Driving Support Agent for Elderly and Non-Elderly Drivers on Public Roads

Tanaka, TakahiroNagoya University
Fujikake, KazuhiroNagoya University
Yoshihara, YukiNagoya University
Karatas, NihanNagoya University
Shimazaki, KanNagoya University
Aoki, HirofumiNagoya University
Kanamori, HitoshiNagoya Univ
09:35-09:40, Paper ThAM1_T3.3 
Toward Real-Time Estimation of Driver Situation Awareness: An Eye Tracking Approach Based on Moving Objects of Interest

Kim, HyungilVirginia Tech Transportation Institute
Martin, SujithaHonda Research Institute USA, Inc
Tawari, AshishAcubed by Airbus
Misu, TeruhisaHonda Research Institute
Gabbard, JosephVirginia Tech
09:40-09:45, Paper ThAM1_T3.4 
Deep Classification-Driven Domain Adaptation for Cross-Modal Driver Behavior Recognition

Reiß, SimonKarlsruhe Institute of Technology
Roitberg, AlinaKarlsruhe Institute of Technology (KIT)
Haurilet, MonicaKarlsruhe Institute of Technology
Stiefelhagen, RainerKarlsruhe Institute of Technology
09:45-09:50, Paper ThAM1_T3.5 
Open Set Driver Activity Recognition

Roitberg, AlinaKarlsruhe Institute of Technology (KIT)
Ma, ChaoxiangKarlsruhe University of Technology (KIT)
Haurilet, MonicaKarlsruhe Institute of Technology
Stiefelhagen, RainerKarlsruhe Institute of Technology
09:50-09:55, Paper ThAM1_T3.6 
Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge

Rangesh, AkshayUniversity of California, San Diego
Zhang, BowenUniversity of California, San Diego
Trivedi, Mohan M.University of California at San Diego
09:55-10:00, Paper ThAM1_T3.7 
The More, the Merrier? a Study on In-Car IR-Based Head Pose Estimation

Firintepe, AhmetBMW Group
Selim, MohamedGerman Research Center for Artificial Intelligence (DFKI)
Pagani, AlainGerman Research Center for Artificial Intelligence (DFKI)
Didier, StrickerDFKI GmbH, University of Kaiserslautern
10:00-10:05, Paper ThAM1_T3.8 
Lightweight Deep Neural Network-Based Real-Time Pose Estimation on Embedded Systems

Heo, JunhoSogang University
Kim, GinamSogang University
Park, JaeseoSogang University
Kim, YeonsuHyundai Mobis
Cho, Sung-SikHyundai Mobis
Lee, Chang WonHyundai Mobis
Kang, Suk-JuSogang University
Image, Radar, Lidar Signal Processing. B Regular Session
10:15-10:20, Paper ThAM2_T1.1 
MuRF-Net: Multi-Receptive Field Pillars for 3D Object Detection from Point Cloud

Yang, ZhuoXi'an Jiaotong University
Huang, YuhaoInstitute of Artificial Intelligence and Robotics in Xi’an Jiaot
Yan, XinruiXi'an Jiaotong University
Chen, ShitaoXi'an Jiaotong University, Xi'an, China
Dong, JinpengXi’an Jiaotong University
Sun, JunSunny Central Research Institute
Liu, ZiyiXi'an Jiaotong University
Nan, ZhixiongXi'an Jiaotong University
Zheng, NanningXi'an Jiaotong University
10:20-10:25, Paper ThAM2_T1.2 
Towards Synchronisation of Multiple Independent MEMS-Based Micro-Scanning LiDAR Systems

Stelzer, PhilippGraz University of Technology
Strasser, AndreasGraz University of Technology
Steger, ChristianGraz University of Technology
Plank, HannesInfineon
Druml, NorbertInfineon Technologies
10:25-10:30, Paper ThAM2_T1.3 
SCSSnet: Learning Spatially-Conditioned Scene Segmentation on LiDAR Point Clouds

Rist, Christoph BerndDaimler AG
Schmidt, David JosefMercedes-Benz AG
Enzweiler, MarkusDaimler AG
Gavrila, Dariu M.TU Delft
10:30-10:35, Paper ThAM2_T1.4 
LIBRE: The Multiple 3D LiDAR Dataset

Carballo, AlexanderNagoya University
Lambert, JacobNagoya University
Monrroy Cano, Abraham IsraelNagoya University
Wong, David RobertNagoya University
Narksri, PatiphonNagoya University
Kitsukawa, YukiTierIV Inc
Takeuchi, EijiroNagoya University
Kato, ShinpeiThe University of Tokyo
Takeda, KazuyaNagoya University
10:35-10:40, Paper ThAM2_T1.5 
EpBRM: Improving a Quality of 3D Object Detection Using End Point Box Regression Module

Shin, KiwooUniversity of California, Berkeley
Tomizuka, MasayoshiUniversity of California at Berkeley
10:40-10:45, Paper ThAM2_T1.6 
SUSTech POINTS: A Portable 3D Point Cloud Interactive Annotation Platform System

Li, ESouthern University of Science and Technology
Wang, Shuaijun1088 Xueyuan Avenue, Shenzhen 518055, P.R. China
Li, ChengyangSouthern University of Science and Technology
Li, DachuanSouthern University of Science and Technology
Wu, XiangbinIntel
Hao, QiSouthern University of Science and Technology
10:45-10:50, Paper ThAM2_T1.7 
Scan-Based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study

Triess, Larissa TaminaMercedes-Benz AG
Peter, DavidDaimler AG
Rist, Christoph BerndDaimler AG
Zöllner, J. MariusFZI Research Center for Information Technology; KIT Karlsruhe In
Motion Planning. B Regular Session
10:15-10:20, Paper ThAM2_T2.1 
Interaction-Aware Trajectory Prediction Based on a 3D Spatio-Temporal Tensor Representation Using Convolutional–Recurrent Neural Networks

Krueger, MartinZF Group
Stockem Novo, AnneZF Group
Nattermann, TillZF TRW
Bertram, TorstenTechnische Universität Dortmund
10:20-10:25, Paper ThAM2_T2.2 
Sensitivity Analysis of a Planning Algorithm Considering Uncertainties

Henze, FranziskaKarlsruhe Institute of Technology
Fassbender, DennisAUDI AG
Stiller, ChristophKarlsruhe Institute of Technology
10:25-10:30, Paper ThAM2_T2.3 
Motion Planning for Minimisation of Motion Sickness with Fixed Journey Time in Autonomous Vehicles

Htike, ZawCranfield University
Papaioannou, GeorgiosCranfield University
Siampis, EfstathiosCranfield Uinversity
Velenis, EfstathiosCranfield University
Longo, StefanoCranfield University
10:30-10:35, Paper ThAM2_T2.4 
Learning a Directional Soft Lane Affordance Model for Road Scenes Using Self-Supervision

Karlsson, RobinTier IV
Sjoberg, ErikAscent Robotics
10:35-10:40, Paper ThAM2_T2.5 
Destination Prediction Based on Partial Trajectory Data

Ebel, PatrickTechnische Universität Berlin
Göl, Ibrahim EmreTechnische Universität Berlin
Lingenfelder, ChristophMBition GmbH
Vogelsang, AndreasTechnical University of Berlin
10:40-10:45, Paper ThAM2_T2.6 
A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward

Yavas, M. UgurEatron Technologies
Kumbasar, TufanIstanbul Technical University
Ure, NazimIstanbul Technical University
10:45-10:50, Paper ThAM2_T2.7 
Sensitivity Analysis for Vehicle Dynamics Models -- an Approach to Model Quality Assessment for Automated Vehicles

Nolte, MarcusTechnische Universität Braunschweig
Schubert, RichardTechnische Universität Braunschweig
Reisch, CordulaTechnische Universität Braunschweig
Maurer, MarkusTU Braunschweig
Driver State Recognition. B Regular Session
10:15-10:20, Paper ThAM2_T3.1 
ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots

Shen, XuUniversity of California, Berkeley
Batkovic, IvoZenuity, Chalmers University of Technology
Govindarajan, VijayUC Berkeley
Falcone, PaoloChalmers University of Technology
Darrell, TrevorUC Berkeley
Borrelli, FrancescoUniversity of California, Berkeley
10:20-10:25, Paper ThAM2_T3.2 
Robust Driver Head Pose Estimation in Naturalistic Conditions from Point-Cloud Data

Hu, TianchengThe University of Texas at Dallas
Jha, SumitUniversity of Texas at Dallas
Busso, CarlosUniversity of Texas at Dallas
10:25-10:30, Paper ThAM2_T3.3 
Deep Learning with Attention Mechanism for Predicting Driver Intention at Intersection

Girma, AbenezerNCAT
Amsalu, Seifemichael BekeleNorth Carolina A&T State University
Workineh, AbrhamUsaa
Khan, Mubbashar AltafNorth Carolina Agricultural and Technical State University
Homaifar, AbdollahNorth Carolina a & T State University
10:30-10:35, Paper ThAM2_T3.4 
Back to School: Impact of Training on Driver Behavior and State in Autonomous Vehicles

Sibi, SrinathStanford University
Balters, StephanieNorwegian University of Science and Technology
Fu, ErnestineStanford University
Strack, GamzeRobert Bosch LLC
Steinert, MartinNorwegian University of Science and Technology
Ju, WendyCornell Tech
10:35-10:40, Paper ThAM2_T3.5 
Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression

Zhang, WeiyangUniversity of Michigan, Ann Arbor
Wang, WenshuoUniversity of Michigan
Zhu, JiachengCarnegie Mellon University
Zhao, DingCarnegie Mellon University
10:40-10:45, Paper ThAM2_T3.6 
Risk-Aware High-Level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning

Kamran, DanialKarlsruhe Institute of Technology
Fernandez Lopez, CarlosKarlsruhe Institute of Technology (KIT)
Lauer, MartinKarlsruher Institut Für Technologie
Stiller, ChristophKarlsruhe Institute of Technology
10:45-10:50, Paper ThAM2_T3.7 
Recognition of Driver Braking Intensity of EHB System Using a Hybrid Learning Approach

Yang, HaohanShanghai Jiao Tong University
Kaku, ChuyoChaoli Electric Co., Ltd
Yu, FanShanghai Jiao Tong University
Coffee Break_3 Conference Event
Poster Session. Image, Radar, Lidar Signal Processing Poster Session
Poster Session. Motion Planning Poster Session
Poster Session. Driver State Recognition Poster Session
Lunch 2 Conference Event
Keynote 3 Plenary Session
Vision Sensing and Perception 2. A Regular Session
14:35-14:40, Paper ThPM1_T1.1 
Visually Assisted Anti-Lock Braking System

Bahník, MichalCTU in Prague
Filyo, DominikCzech Technical University in Prague, Faculty of Electrical Engi
Pekárek, DavidCzech Technical University in Prague
Vlasimsky, MartinCzech Technical University in Prague
Cech, JanCzech Technical University in Prague, Faculty of Electrical Engi
Hanis, TomasCzech Technical University in Prague, Faculty of Electrical Engi
Hromcik, MartinCzech Technical University in Prague
14:40-14:45, Paper ThPM1_T1.2 
Sensitive Detection of Target-Vehicle-Motion Using Vision Only

Mehdi, Syed BilalGeneral Motors
Hu, YasenGeneral Motors
14:45-14:50, Paper ThPM1_T1.3 
A Unified Method for Improving Long-Range Accuracy of Stereo and Monocular Depth Estimation Algorithms

Miclea, VladTechnical University of Cluj-Napoca
Nedevschi, SergiuTechnical University of Cluj-Napoca
14:50-14:55, Paper ThPM1_T1.4 
Robust and Accurate Object Velocity Detection by Stereo Camera for Autonomous Driving

Saito, ToruSubaru Corporation
Okubo, ToshimiSUBARU
Takahashi, NaokiSubaru Corporation
14:55-15:00, Paper ThPM1_T1.5 
Test Method for Measuring the Simulation-To-Reality Gap of Camera-Based Object Detection Algorithms for Autonomous Driving

Reway, FabioTechnische Hochschule Ingolstadt
Mohamad Kadri Hoffmann, AbdulFederal University of Parana
Wachtel, DiogoTechnische Hochschule Ingolstadt
Huber, WernerBMW Group Research and Technology
Knoll, AloisTechnische Universität München
Parente Ribeiro, EduardoFederal University of Parana
15:00-15:05, Paper ThPM1_T1.6 
Systematization of Corner Cases for Visual Perception in Automated Driving

Breitenstein, JasminTechnische Universität Braunschweig
Termöhlen, Jan-AikeTechnische Universität Braunschweig
Lipinski, DanielVolkswagen Group Research
Fingscheidt, TimTechnische Universität Braunschweig
15:05-15:10, Paper ThPM1_T1.7 
NLOS Obstacle Position Estimation from Reflected Image

Takatori, YusukeKanagawa Institute of Technology
15:10-15:15, Paper ThPM1_T1.8 
Caption Generation from Road Images for Traffic Scene Construction

Wu, ChuanSchool of Software Engineering, Xi'an Jiaotong University
Li, YaochenXi'an Jiaotong University
Li, LingXi'an Jiaotong University
Wang, LeXi'an Jiaotong University
Liu, YuehuInstitute of Artificial Intelligence and Robotics, Xi'an Jiaoton
Automated Vehicles 2. A Regular Session
14:35-14:40, Paper ThPM1_T2.1 
A Unified Evaluation Framework for Autonomous Driving Vehicles

Roshdi, MyadaHuawei
Nayeer, NasifHuawei Technologies Canada
Elmahgiubi, MohammedHuawei Technologies Canada
Agrawal, AnkurMercedes Benz Research and Development North America Inc
Garcia, Danson EvanUniversity of Toronto
14:40-14:45, Paper ThPM1_T2.2 
Mixed Test Environment-Based Vehicle-In-The-Loop Validation - a New Testing Approach for Autonomous Vehicles

Chen, YuXi'an Jiaotong University
Chen, ShitaoXi'an Jiaotong University, Xi'an, China
Xiao, TongXi'an Jiaotong University
Zhang, SongyiXi'an Jiaotong University
Hou, QianXi'an Jiaotong University, Xi'an, China
Zheng, NanningXi'an Jiaotong University
14:45-14:50, Paper ThPM1_T2.3 
A Curvilinear Decision Method for Two-Lane Roundabout Crossing and Its Validation under Realistic Traffic Flow

Masi, StefanoUniversité De Technologie De Compiègne
Xu, PhilippeUniversity of Technology of Compiegne
Bonnifait, PhilippeUniversity of Technology of Compiegne
14:50-14:55, Paper ThPM1_T2.4 
Towards Efficient Hazard Identification in the Concept Phase of Driverless Vehicle Development

Graubohm, RobertTechnische Universität Braunschweig
Stolte, TorbenTechnische Universität Braunschweig
Bagschik, GerritTechnische Universität Braunschweig
Maurer, MarkusTU Braunschweig
14:55-15:00, Paper ThPM1_T2.5 
Re-Using Concrete Test Scenarios Generally Is a Bad Idea

Hauer, FlorianTechnical University of Munich
Pretschner, AlexanderTechnical University of Munich
Holzmüller, BerndITK Engineering GmbH
15:00-15:05, Paper ThPM1_T2.6 
Integrating Deep Reinforcement Learning with Model-Based Path Planners for Automated Driving

Yurtsever, EkimThe Ohio State University
Capito, LindaOhio State University
Redmill, KeithOhio State University
Ozguner, UmitOhio State University
15:05-15:10, Paper ThPM1_T2.7 
Identifying the Operational Design Domain for an Automated Driving System through Assessed Risk

Lee, Chung WonHuawei Technologies Canada
Nayeer, NasifHuawei Technologies Canada
Garcia, Danson EvanUniversity of Toronto
Agrawal, AnkurMercedes Benz Research and Development North America Inc
Liu, BingbingHuawei
15:10-15:15, Paper ThPM1_T2.8 
Behavioral Competence Tests for Highly Automated Vehicles

Wang, XinpengUniversity of Michigan
Dong, YiqunFudan University
Xu, ShaobingUniversity of Michigan, Ann Arbor
Peng, HueiUniversity of Michigan
Wang, FucongUniversity of Michigan
Liu, ZhenghaoUniversity of Michigan
Human Factors. A Regular Session
14:35-14:40, Paper ThPM1_T3.1 
Assessing the Effects of Failure Alerts on Transitions of Control from Autonomous Driving Systems

Fu, ErnestineStanford University
Hyde, DavidUniversity of California, Los Angeles
Sibi, SrinathStanford University
Johns, MishelStanford University
Fischer, MartinStanford University
Sirkin, DavidStanford University
14:40-14:45, Paper ThPM1_T3.2 
Driver-Automation Collaboration for Automated Vehicles: A Review of Human-Centered Shared Control

Xing, YangNanyang Technological University
Huang, ChaoNanyang Technological University
Lv, ChenNanyang Technological University
14:45-14:50, Paper ThPM1_T3.3 
Study on Safety Analysis Method for Take-Over System of Autonomous Vehicles

Chen, JunyiTongji University
Wang, ShanTongji University
Zhou, TangruiTongji University
Lu, XiongTongji Unviersity
Xing, XingyuTongji University
14:50-14:55, Paper ThPM1_T3.4 
Drivers’ Attitudes and Perceptions towards a Driving Automation System with Augmented Reality Human-Machine Interfaces

Wu, XingweiHonda Research Institute USA
Merenda, Coleman1992
Misu, TeruhisaHonda Research Institute
Tanous, KyleVirginia Tech
Suga, ChihiroHonda Research Institute USA
Gabbard, JosephVirginia Tech
14:55-15:00, Paper ThPM1_T3.5 
Modeling Methodology of Driver-Vehicle-Environment System Dynamics in Mixed Driving Situation

Xie, ShanshanTsinghua University
Chen, ShitaoXi'an Jiaotong University, Xi'an, China
Zheng, NanningXi'an Jiaotong University
Wang, JianqiangTsinghua University
15:00-15:05, Paper ThPM1_T3.6 
Haptic Driver Guidance for Lateral Driving Envelope Protection Using Model Predictive Control

Efremov, DenisCzech Technical University in Prague, Faculty of Electrical Engi
Hanis, TomasCzech Technical University in Prague, Faculty of Electrical Engi
Klauco, MartinInstitute of Information Engineering, Automation, and Mathematic
15:05-15:10, Paper ThPM1_T3.7 
Impact of Sharing Driving Attitude Information: A Quantitative Study on Lane Changing

Liu, XiangguoNorthwestern University
Masoud, NedaUniversity of Michigan Ann Arbor
Zhu, QiNorthwestern University
15:10-15:15, Paper ThPM1_T3.8 
Ethical Decision Making for Autonomous Vehicles

de Moura Martins Gomes, NelsonSorbonne Université / Institut VEDECOM
Chatila, RajaLAAS-CNRS
Evans, KatherineSorbonne University
Dogan, EbruVEDECOM
Chauvier, StephaneSorbonne University
Vision Sensing and Perception 2. B Regular Session
15:25-15:30, Paper ThPM2_T1.1 
In Defense of Multi-Source Omni-Supervised Efficient ConvNet for Robust Semantic Segmentation in Heterogeneous Unseen Domains

Yang, KailunKarlsruhe Institute of Technology
Hu, XinxinZhejiang University
Wang, KaiweiZhejiang Univeristy
Stiefelhagen, RainerKarlsruhe Institute of Technology
15:30-15:35, Paper ThPM2_T1.2 
Lane Detection in Low-Light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer

Liu, TongBeijing Institute of Technology
Chen, ZhaoweiBeijing Institute of Technology,
Yang, YiBeijing Institute of Technology
Wu, ZeHaoBeijing Institute of Technology
Li, HaoweiBeijing Institute of Technology
15:35-15:40, Paper ThPM2_T1.3 
Real-Time Panoptic Segmentation with Prototype Masks for Automated Driving

Petrovai, AndraTechnical University of Cluj-Napoca
Nedevschi, SergiuTechnical University of Cluj-Napoca
15:40-15:45, Paper ThPM2_T1.4 
Towards Anomaly Detection in Dashcam Videos

Haresh, SanjayRetrocausal, Inc
Kumar, SateeshRetrocausal, Inc
Zia, ZeeshanRetrocausal, Inc
Tran, Quoc-HuyRetrocausal, Inc
15:45-15:50, Paper ThPM2_T1.5 
Advances in Centerline Estimation for Autonomous Lateral Control

Cudrano, PaoloPolitecnico Di Milano
Mentasti, SimonePolitecnico Di Milano
Matteucci, MatteoPolitecnico Di Milano - DEIB
Bersani, MattiaPolitecnico Di Milano
Arrigoni, StefanoPolitecnico Di Milano
Cheli, FedericoPolitecnico Di Milano
15:50-15:55, Paper ThPM2_T1.6 
Automated Focal Loss for Image Based Object Detection

Weber, MichaelFZI Research Center for Information Technology
Fürst, MichaelDFKI, German Research Center for Artificial Intelligence
Zöllner, J. MariusFZI Research Center for Information Technology; KIT Karlsruhe In
15:55-16:00, Paper ThPM2_T1.7 
Scalable Active Learning for Object Detection

Haussmann, ElmarNVIDIA
Fenzi, MicheleNVIDIA
Chitta, KashyapMPI
Ivanecky, JanNVIDIA Corp
Xu, HansonNVIDIA Corp
Mittel, AkshitaNVIDIA Corp
Koumchatzky, NicolasNVIDIA
Farabet, ClementNVIDIA
Alvarez, José M.NVIDIA
16:00-16:05, Paper ThPM2_T1.8 
An Entropy Based Outlier Score and Its Application to Novelty Detection for Road Infrastructure Images

Wurst, JonasTechnische Hochschule Ingolstadt
Flores Fernandez, AlbertoTechnische Hochschule Ingolstadt
Botsch, MichaelTechnische Hochschule Ingolstadt
Utschick, WolfgangTechnische Universität München
Automated Vehicles 2. B Regular Session
15:25-15:30, Paper ThPM2_T2.1 
Optimization-Based Incentivization and Control Scheme for Autonomous Traffic

Kalabic, Uros V.Mitsubishi Electric Research Laboratories (MERL)
Grover, PiyushUniversity of Nebraska-Lincoln
Aeron, ShuchinTufts University
15:30-15:35, Paper ThPM2_T2.2 
CLAP: Cloud-And-Learning-Compatible Autonomous Driving Platform

Zhong, YuanxinUniversity of Michigan
Cao, ZhongTsinghua University
Zhu, MinghanUniversity of Michigan
Wang, XinpengUniversity of Michigan
Yang, DiangeState Key Laboratory of Automotive Safety and Energy, Collaborat
Peng, HueiUniversity of Michigan
15:35-15:40, Paper ThPM2_T2.3 
How Safe Is Safe Enough? Automatic Safety Constraints Boundary Estimation for Decision-Making in Automated Vehicles

Rodionova, AlenaUniversity of Pennsylvania
Elli, Maria SoledadIntel Corporation
Oboril, FabianIntel
Quast, JohannesIntel Corporation
Mangharam, RahulUniversity of Pennsylvania
15:40-15:45, Paper ThPM2_T2.4 
A Vehicle-In-The-Loop Methodology for Evaluating Automated Driving Functions in Virtual Traffic

Solmaz, SelimVirtual Vehicle Research Center
Rudigier, MartinVirtual Vehicle Research GmbH
Mischinger, MarliesVirtual Vehicle Research GmbH
15:45-15:50, Paper ThPM2_T2.5 
Implementation and Experimental Evaluation of a MIMO Drifting Controller on a Test Vehicle

Bárdos, ÁdámBudapest University of Technology and Economics , Department Of
Domina, ÁdámBudapest University of Technology and Economics
Tihanyi, ViktorBudapest University of Technology and Economics
Szalay, ZsoltBudapest Technology and Economics University, Department of Auto
Palkovics, LászlóBudapest University of Technology and Economics , Department Of
15:50-15:55, Paper ThPM2_T2.6 
Safety Score: A Quantitative Approach to Guiding Safety-Aware Autonomous Vehicle Computing System Design

Zhao, HengyuUniversity of California, San Diego
Shi, HuiUniversity of California, San Diego
Zhao, JishenUniversity of California, San Diego
15:55-16:00, Paper ThPM2_T2.7 
Systems Integration, Simulation, and Control for Autonomous Trucking

Darwesh, AmirTexas A&M University
Woods, GraysonTexas A&M University
Saripalli, SrikanthTexas A&M University
16:00-16:05, Paper ThPM2_T2.8 
A Fault Tolerant Lateral Control Strategy for an Autonomous Four Wheel Driven Electric Vehicle

Ramanathan Venkita, SeshanFlanders Make
Boulkroune, BoulaidFlanders Make
Mishra, AnurodhFlanders Make
Van Nunen, EllenFlanders Make
Human Factors. B Regular Session
15:25-15:30, Paper ThPM2_T3.1 
A Novel Approach to Neural Network-Based Motion Cueing Algorithm for a Driving Simulator

Koyuncu, Ahmet BurakhanTechnical University of Munich
Ercelik, EmecTechnical University of Munich
Comulada-Simpson, EduardBMW Group
Venrooij, JoostBMW Group
Kaboli, MohsenBMW Group Research
Knoll, AloisTechnische Universität München
15:30-15:35, Paper ThPM2_T3.2 
Task-Driven Image-To-Image Translation for Automotive Applications

Malaescu, AlexandruXperi
Fratila, AndreiXperi
Dutu, LiviuXperi
Sultana, AlinaXperi
Filip, DanXperi
Ciuc, MihaiXperi
15:35-15:40, Paper ThPM2_T3.3 
Reachability Estimation in Dynamic Driving Scenes for Autonomous Vehicles

Medina-Lee, Juan FelipeCentre for Automation and Robotics - (CAR-CSIC)
Artunedo, AntonioCentre for Automation and Robotics (CSIC-UPM)
Godoy, JorgeCentre for Automation and Robotics (UPM-CSIC)
Villagra, JorgeCentre for Automation and Robotics (CSIC-UPM)
15:40-15:45, Paper ThPM2_T3.4 
Real-Time Operational Driving Energy Management with Stochastic Vehicle Behavior Prediction

Higashitani, MitsuharuDenso
15:45-15:50, Paper ThPM2_T3.5 
Safety Verification of a Data-Driven Adaptive Cruise Controller

Lin, QinCarnegie Mellon University
Verwer, SiccoDelft University of Technology
Dolan, JohnCarnegie Mellon University
15:50-15:55, Paper ThPM2_T3.6 
Assistance Systems for Driver Interventions in Critical Situations During Automated Driving

Nguyen, ThangTechnische Universität Berlin, Faculty Mechanical Engineering An
Müller, SteffenTechnical University of Berlin
15:55-16:00, Paper ThPM2_T3.7 
Evaluation of AR-HUD Interface During an Automated Intervention in Manual Driving

Karatas, NihanNagoya University
Tanaka, TakahiroNagoya University
Fujikake, KazuhiroNagoya University
Yoshihara, YukiNagoya University
Fuwamoto, YoshitakaToyota Motor Corporation
Yoshida, MorihikoToyota Motor Corporation
Kanamori, HitoshiNagoya Univ
Coffee Break_4 Conference Event
Poster Session. Vision Sensing and Perception 2 Poster Session
Poster Session. Automated Vehicles 2 Poster Session
Poster Session. Human Factors Poster Session




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