30th IEEE Intelligent Vehicles Symposium Sponsored by the IEEE Intelligent Transportation Systems Society
  

2019 IEEE Intelligent Vehicles Symposium (IV)
June 9-12, 2019, Paris, France

Program at a Glance    Sunday    Monday    Tuesday    Wednesday    Author Index    Keyword Index  

Last updated on June 16, 2019. This conference program is tentative and subject to change

Technical Program for Monday June 10, 2019

To show or hide the keywords and abstract of a paper (if available), click on the paper title
Open all abstracts   Close all abstracts
 
MoAM1_Oral Berlioz Auditorium
Automated Vehicles Regular Session
 
08:40-08:51, Paper MoAM1_Oral.1 
Dynamic Demand Estimation for an AMoD System in Paris
Hörl, SebastianETH Zürich
Balac, MilosETHZ
Axhausen, KayETH Zürich
 
08:51-09:02, Paper MoAM1_Oral.2 
Real-World Maneuver Extraction for Autonomous Vehicle Validation: A Comparative Study
Erdogan, AhmetcanAVL TURKEY
Ugranli, BurakAVL Turkey
Adali, ErkanAVL Research and Development
Sentas, AliAVL Research and Development
Mungan, Tahir ErenAVL Turkey
Kaplan, EmreAVL Research and Engineering
Leitner, AndreaAVL List GmbH
 
09:02-09:13, Paper MoAM1_Oral.3 
Learning Risk Level Set Parameters from Data Sets for Safer Driving
Pierson, AlyssaMIT
Schwarting, WilkoMIT
Karaman, SertacMassachusetts Institute of Technology
Rus, DanielaMIT
 
09:13-09:24, Paper MoAM1_Oral.4 
AGen: Adaptable Generative Prediction Networks for Autonomous Driving
Si, WenwenCarnegie Mellon University
Wei, TianhaoCarnegie Mellon University
Liu, ChangliuCarnegie Mellon University
 
09:24-09:35, Paper MoAM1_Oral.5 
GeoScenario: An Open DSL for Autonomous Driving Scenario Representation
Queiroz, RodrigoUniversity of Waterloo
Berger, ThorstenChalmers | University of Gothenburg
Czarnecki, KrzysztofUniversity of Waterloo
 
MoAM2_Oral Berlioz Auditorium
Vision Sensing and Perception Regular Session
 
09:35-09:46, Paper MoAM2_Oral.1 
Detection-By-Tracking Boosted Online 3D Multi-Object Tracking
Chen, Quei-AnDenso Corporation
Tsukada, AkihiroDenso Corporation
 
09:46-09:57, Paper MoAM2_Oral.2 
The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping
Bruls, TomUniversity of Oxford
Porav, HoriaOxford Robotics Institute, University of Oxford
Kunze, LarsUniversity of Oxford
Newman, PaulUniversity of Oxford
 
09:57-10:08, Paper MoAM2_Oral.3 
VeIGAN: Vectorial Inpainting Generative Adversarial Network for Depth Maps Object Removal
Matias, LucasUniversity of Sao Paulo
Sons, MarcKarlsruhe Institute of Technology
Souza, JeffersonFederal University of Uberlandia (UFU)
Wolf, DenisUniversity of Sao Paulo
Stiller, ChristophKarlsruhe Institute of Technology
 
10:08-10:19, Paper MoAM2_Oral.4 
Deep Learning Based Vehicle Position and Orientation Estimation Via Inverse Perspective Mapping Image
Kim, YoungSeokKorea Advanced Institute of Science and Technology
Kum, DongsukKorea Advanced Institute of Science & Technology
 
10:19-10:30, Paper MoAM2_Oral.5 
PWOC-3D: Deep Occlusion-Aware End-To-End Scene Flow Estimation
Saxena, RohanBirla Institute of Technology and Science Pilani
Schuster, RenéDFKI
Wasenmüller, OliverDFKI
Didier, StrickerDFKI GmbH, University of Kaiserslautern
 
MoAM_PO Room 4
Poster 1: (Orals) AV + Vision Poster Session
 
11:00-12:30, Paper MoAM_PO.1 
Dynamic Demand Estimation for an AMoD System in Paris
Hörl, SebastianETH Zürich
Balac, MilosETHZ
Axhausen, KayETH Zürich
 
11:00-12:30, Paper MoAM_PO.2 
Real-World Maneuver Extraction for Autonomous Vehicle Validation: A Comparative Study
Erdogan, AhmetcanAVL TURKEY
Ugranli, BurakAVL Turkey
Adali, ErkanAVL Research and Development
Sentas, AliAVL Research and Development
Mungan, Tahir ErenAVL Turkey
Kaplan, EmreAVL Research and Engineering
Leitner, AndreaAVL List GmbH
 
11:00-12:30, Paper MoAM_PO.3 
Learning Risk Level Set Parameters from Data Sets for Safer Driving
Pierson, AlyssaMIT
Schwarting, WilkoMIT
Karaman, SertacMassachusetts Institute of Technology
Rus, DanielaMIT
 
11:00-12:30, Paper MoAM_PO.4 
AGen: Adaptable Generative Prediction Networks for Autonomous Driving
Si, WenwenCarnegie Mellon University
Liu, ChangliuCarnegie Mellon University
 
11:00-12:30, Paper MoAM_PO.5 
GeoScenario: An Open DSL for Autonomous Driving Scenario Representation
Queiroz, RodrigoUniversity of Waterloo
Berger, ThorstenChalmers | University of Gothenburg
Czarnecki, KrzysztofUniversity of Waterloo
 
11:00-12:30, Paper MoAM_PO.6 
Detection-By-Tracking Boosted Online 3D Multi-Object Tracking
Chen, Quei-AnDenso Corporation
Tsukada, AkihiroDenso Corporation
 
11:00-12:30, Paper MoAM_PO.7 
The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping
Bruls, TomUniversity of Oxford
Porav, HoriaOxford Robotics Institute, University of Oxford
Kunze, LarsUniversity of Oxford
Newman, PaulUniversity of Oxford
 
11:00-12:30, Paper MoAM_PO.8 
VeIGAN: Vectorial Inpainting Generative Adversarial Network for Depth Maps Object Removal
Matias, LucasUniversity of Sao Paulo
Sons, MarcKarlsruhe Institute of Technology
Souza, JeffersonFederal University of Uberlandia (UFU)
Wolf, DenisUniversity of Sao Paulo
Stiller, ChristophKarlsruhe Institute of Technology
 
11:00-12:30, Paper MoAM_PO.9 
Deep Learning Based Vehicle Position and Orientation Estimation Via Inverse Perspective Mapping Image
Kim, YoungSeokKorea Advanced Institute of Science and Technology
Kum, DongsukKorea Advanced Institute of Science & Technology
 
11:00-12:30, Paper MoAM_PO.10 
PWOC-3D: Deep Occlusion-Aware End-To-End Scene Flow Estimation
Saxena, RohanBirla Institute of Technology and Science Pilani
Schuster, RenéDFKI
Wasenmüller, OliverDFKI
Didier, StrickerDFKI GmbH, University of Kaiserslautern
 
MoAM_P1 Room 5
Poster 1: AV + Vision Poster Session
 
11:00-12:30, Paper MoAM_P1.1 
Learning Low-Rank Images for Robust All-Day Feature Matching
Feng, MengdanNational University of Singapore
Ang, MarceloNational University of Singapore
Lee, Gim HeeNational University of Singapore
 
11:00-12:30, Paper MoAM_P1.2 
Combinatorial Use of Optical Tracker, Gaussian Mixture PHD and Group Tracking for Vehicle Light Tracking
Alsfasser, MartinBergische Universität Wuppertal, Aptiv Services Deutschland GmbH
Meuter, MirkoDelphi Electronics & Safety
Kummert, AntonUniversity of Wuppertal
 
11:00-12:30, Paper MoAM_P1.3 
Direct 3D Detection of Vehicles in Monocular Images with a CNN Based 3D Decoder
Weber, MichaelFZI Research Center for Information Technology
Fürst, MichaelFZI Research Center for Information Technology
Zöllner, J. MariusFZI Research Center for Information Technology; KIT Karlsruhe In
 
11:00-12:30, Paper MoAM_P1.4 
On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation
Löhdefink, JonasTechnische Universität Braunschweig
Bär, AndreasTechnische Universität Braunschweig
Schmidt, Nico M.Volkswagen AG
Hüger, FabianVolkswagen AG
Schlicht, PeterVolkswagen Group Research
Fingscheidt, TimTechnische Universität Braunschweig
 
11:00-12:30, Paper MoAM_P1.5 
Instance Segmentation As Image Segmentation Annotation
Watanabe, ThomioUniversidade De São Paulo
Wolf, DenisUniversity of Sao Paulo
 
11:00-12:30, Paper MoAM_P1.6 
Towards Corner Case Detection for Autonomous Driving
Bolte, Jan-AikeTechnische Universität Braunschwig
Bär, AndreasTechnische Universität Braunschweig
Lipinski, DanielVolkswagen Group Research
Fingscheidt, TimTechnische Universität Braunschweig
 
11:00-12:30, Paper MoAM_P1.7 
Can We PASS Beyond the Field of View? Panoramic Annular Semantic Segmentation for Real-World Surrounding Perception
Yang, KailunZhejiang University
Hu, XinxinZhejiang University
Bergasa, Luis M.University of Alcala
Romera, EduardoUniversity of Alcala
Huang, XiaoUniversity of Arizona
Sun, DongmingImperial College London
Wang, KaiweiZhejiang Univeristy
 
11:00-12:30, Paper MoAM_P1.8 
Deep Intersection Classification Using First and Third Person Views
Takeda, KojiUniv. of Fukui
Tanaka, KanjiUniversity of Fukui
 
11:00-12:30, Paper MoAM_P1.9 
Dense-ACSSD for End-To-End Traffic Scenes Recognition
Cheng, ZhiweiShanghai Jiao Tong University
Wang, ZhenyangShanghai Jiao Tong University
Huang, HongchengShanghai Jiao Tong University
Liu, YanboShang Hai Jiao Tong University
 
11:00-12:30, Paper MoAM_P1.10 
3D Object Trajectory Reconstruction Using Instance-Aware Multibody Structure from Motion and Stereo Sequence Constraints
Bullinger, SebastianFraunhofer IOSB
Bodensteiner, ChristophFraunhofer IOSB
Arens, MichaelFraunhofer IOSB
Stiefelhagen, RainerKarlsruhe Institute of Technology
 
11:00-12:30, Paper MoAM_P1.11 
Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding
Fan, RuiThe Hong Kong University of Science and Technology
Bocus, MohammudUniversity of Bristol
Zhu, YilongHong Kong University of Science and Technology
Jiao, JianhaoThe Hong Kong University of Science and Technology
Wang, LiNational Engineering Research Center of Road Maintenance Technol
Ma, FulongHong Kong University of Science and Technology
Cheng, ShanshanNational Engineering Research Center of Road Maintenance Technol
Liu, MingHKUST
 
11:00-12:30, Paper MoAM_P1.12 
Road Scene Layout Reconstruction Based on CNN and Its Application in Traffic Simulation
Zhu, ChaoSchool of Software Engineering, Xi'an Jiaotong University
Li, YaochenXi'an Jiaotong University
Liu, YuehuInstitute of Artificial Intelligence and Robotics, Xi'an Jiaoton
Tian, ZhiqiangSchool of Software Engineering, Xi'an Jiaotong University
Cui, ZhichaoXi'an Jiaotong University
Zhang, ChiInstitute of Artificial Intelligence and Robotics, Xi'an Jiaoton
Zhu, XinyuXi'an Jiaotong University
 
11:00-12:30, Paper MoAM_P1.13 
A Novel Robust Lane Change Trajectory Planning Method for Autonomous Vehicle
Zeng, DequanTongji University
Yu, ZhuopingTongji University
Lu, XiongTongji Unviersity
Zhao, JunqiaoTongji University
Zhang, PeizhiTongji University
Li, ZhiqiangTongji University
Fu, ZhiqiangTongji University
Jie, YaoSAIC Motor Corporation Limited
Yi, ZhouSAIC Motor Corporation Limited
 
11:00-12:30, Paper MoAM_P1.14 
Real-Time 3D Traffic Cone Detection for Autonomous Driving
Dhall, AnkitETH Zurich
Dai, DengxinETH Zurich
Van Gool, Luc S. J.ETH Zurich
 
11:00-12:30, Paper MoAM_P1.15 
Generation of Scenes in Intersections for the Validation of Highly Automated Driving Functions
Jesenski, StefanRobert Bosch GmbH
Stellet, Jan ErikRobert Bosch GmbH
Schiegg, Florian AlexanderRobert Bosch GmbH
Zöllner, J. MariusFZI Research Center for Information Technology; KIT Karlsruhe In
 
11:00-12:30, Paper MoAM_P1.16 
Improving Multi Object Tracking-By-Detection Model Using a Temporal Interlaced Encoding and a Specialized Deep Detector
Mhalla, AlaClermont Auvergne University
 
11:00-12:30, Paper MoAM_P1.17 
An Online Multi-Lidar Dynamic Occupancy Mapping Method
Huang, JiaweiHonda Research Institute (HRI)
Demir, MahmutHonda Research Institute (HRI)
Lian, ThangHonda Research Institute (HRI)
Fujimura, KikuoHonda Research Institute USA
 
11:00-12:30, Paper MoAM_P1.18 
Characteristics Analysis and Classification of Lane-Changing Behavior after Following Process Based on China-FOT
Wei, HaozhouTongji University
Ma, ZhixiongTongji University
Zhu, XichanTongji University
Lin, YetingTongji University
 
11:00-12:30, Paper MoAM_P1.19 
Obstacle Avoidance, Path Planning and Control for Autonomous Vehicles
Laghmara, HindUniversité De Haute-Alsace
Boudali, MohamedUniversity of Haute-Alsace
Laurain, ThomasIRIMAS / ENSISA, University of Haute-Alsace
Ledy, JonathanUniversité De Haute-Alsace
Orjuela, RodolfoUniversité De Haute-Alsace
Lauffenburger, Jean-PhilippeUniversité De Haute-Alsace
Basset, MichelUniversity of Haute-Alsace
 
11:00-12:30, Paper MoAM_P1.20 
Modelling the Dynamic Behavior of the Steering System for Low Speed Autonomous Path Tracking
Domina, ÁdámBudapest University of Technology and Economics
Tihanyi, ViktorBudapest University of Technology and Economics
 
11:00-12:30, Paper MoAM_P1.21 
Is This Car Going to Move? Parked Car Classification for Automated Vehicles
Behrendt, KarstenRobert Bosch LLC
Mangin, OlivierRobert Bosch LLC
Bhakta, NamrataMercedes-Benz Research & Development, North America
Lefevre, StephanieMercedes Benz Research and Development North America
 
11:00-12:30, Paper MoAM_P1.22 
Learning a Lattice Planner Control Set for Autonomous Vehicles
De Iaco, RyanUniversity of Waterloo
Smith, Stephen L.University of Waterloo
Czarnecki, KrzysztofUniversity of Waterloo
 
11:00-12:30, Paper MoAM_P1.23 
Multi-Modal Probabilistic Prediction of Interactive Behavior Via an Interpretable Model
Hu, YepingUniversity of California, Berkeley
Zhan, WeiUniversity of California, Berkeley
Sun, LitingUniversity of California, Berkeley
Tomizuka, MasayoshiUniversity of California at Berkeley
 
11:00-12:30, Paper MoAM_P1.24 
Semantic Segmentation of Road Profiles for Efficient Sensing in Autonomous Driving
Cheng, GuoIUPUI
Zheng, Jiang YuIUPUI
Kilicarslan, MehmetIndiana University-Purdue University Indianapolis
 
MoAM_P2 Room 6+7
Poster 1: ADAS Poster Session
 
11:00-12:30, Paper MoAM_P2.1 
How to Evaluate Object-Of-Fixation Detection
Schwehr, JulianTechnische Universität Darmstadt
Knaust, MoritzTechnische Universität Darmstadt
Willert, VolkerTU Darmstadt
 
11:00-12:30, Paper MoAM_P2.2 
Anomaly Detection for Advanced Driver Assistance Systems Using Online Feature Selection
Segler, ChristophBMW Group
Kugele, StefanTechnical University of Munich
Obergfell, PhilippBMW Group Research, New Technologies, Innovations
Osman, Mohd HafeezTU Munich
Shafaei, SinaTechnical University of Munich
Sax, EricKarlsruhe Institute of Technology
Knoll, AloisTechnische Universität München
 
11:00-12:30, Paper MoAM_P2.3 
Thin-Plate Spline-Based Adaptive 3D Surround View
Baek, IljooCarnegie Mellon University
Kanda, AkshitCarnegie Mellon University
Tai, Tzu-ChiehCarnegie Mellon University
Saxena, AnchanCarnegie Mellon University
Rajkumar, R.Carnegie Mellon University
 
11:00-12:30, Paper MoAM_P2.4 
Driving Capability, a Unified Driver Model for ADAS
Sun, BohuaJilin University
Zhao, ShuaiChina Automotive Technology and Research Center
Zhu, XiangleiAutomotive Data Center, CATARC
Du, ZhibinAutomotive Data Center, CATARC
Xu, ShujieAutomotive Data Center, CATARC
Wu, JianASCL, Jilin University
 
11:00-12:30, Paper MoAM_P2.5 
A Model Predictive Control-Based Lane Merging Strategy for Autonomous Vehicles
Tran, Anh TuanNagoya University
Kawaguchi, MasatoNagoya University
Okuda, HiroyukiNagoya University
Suzuki, TatsuyaNagoya University
 
11:00-12:30, Paper MoAM_P2.6 
A Framework for Traffic Light Detection and Recognition Using Deep Learning and Grassmann Manifolds
Gupta, AnyJawaharlal Nehru University
Choudhary, AyeshaJawaharlal Nehru University
 
11:00-12:30, Paper MoAM_P2.7 
Refueling and Battery Charging Driver Assistance System for Online Operation Optimization of Connected Vehicles
Aubeck, FranzRWTH Aachen University
 
11:00-12:30, Paper MoAM_P2.8 
Influence of Cruise Control on Vehicle Guidance – a Comparison between System Generations and Countries
Epple, NicoBMW Group
Dari, SimoneBMW Group
Drees, LudwigBMW Group
Protschky, ValentinBMW AG
Riener, AndreasUniversity of Applied Sciences Ingolstadt
 
11:00-12:30, Paper MoAM_P2.9 
Long-Haul Truck Scheduling with Driving Hours and Parking Availability Constraints
de Almeida Araujo Vital, FilipeUniversity of Southern California
Ioannou, PetrosUniversity of Southern California
 
11:00-12:30, Paper MoAM_P2.10 
Enhancing Situational Awareness and Performance of Adaptive Cruise Control through Model Predictive Control and Deep Reinforcement Learning
Ure, NazimIstanbul Technical University
Yavas, M. UgurEatron Technologies
Alizadeh, AliIstanbul Technical University
Kurtulus, CanIstanbul Technical University, AVL Turkey
 
11:00-12:30, Paper MoAM_P2.11 
Benchmarking and Functional Decomposition of Automotive Lidar Sensor Models
Rosenberger, PhilippTechnische Universität Darmstadt
Holder, Martin FriedrichTechnische Universität Darmstadt
Huch, Hans Carl SebastianTechnische Universität Darmstadt
Winner, HermannTechnische Universität Darmstadt
Fleck, TobiasFZI Research Center for Information Technology
Zofka, Marc RenéFZI Research Center for Information Technology
Zöllner, J. MariusFZI Research Center for Information Technology; KIT Karlsruhe In
D’hondt, ThomasSiemens Industry Software NV
Wassermann, BenjaminTWT GmbH
 
MoAM_P3 Room 9
Poster 1: Learning + Radar Poster Session
 
11:00-12:30, Paper MoAM_P3.1 
Lateral State Estimation of Preceding Target Vehicle Based on Multiple Neural Network Ensemble
Li, ChengweiShanghai Jiao Tong University
Wang, YafeiShanghai Jiao Tong University
Zhou, ZhisongShanghai Jiao Tong University
Wu, JingkaiShanghai Jiao Tong University
Yin, ChengliangShanghai Jiao Tong University
Jin, WenqiangShanghai Jiao Tong University
 
11:00-12:30, Paper MoAM_P3.2 
CNN-Based Object Detection on Low Precision Hardware: Racing Car Case Study
De Rita, NicolòETH Zurich
Aimar, AlessandroUniversity of Zurich and ETH Zurich, Inst. of Neuroinformatics
Delbruck, TobiasUniversity of Zurich and ETH Zurich, Inst. of Neuroinformatics
 
11:00-12:30, Paper MoAM_P3.3 
Circular Convolutional Neural Networks for Panoramic Images and Laser Data
Schubert, StefanTU Chemnitz
Neubert, PeerTU Chemnitz
Pöschmann, JohannesTU Chemnitz
Protzel, PeterChemnitz University of Technology
 
11:00-12:30, Paper MoAM_P3.4 
Capsule Neural Network Based Height Classification Using Low-Cost Automotive Ultrasonic Sensors
Poepperl, MaximilianValeo Schalter Und Sensoren GmbH
Gulagundi, RaghavendraValeo Schalter Und Sensoren GmbH
Yogamani, SenthilValeo Vision Systems
Milz, StefanValeo
 
11:00-12:30, Paper MoAM_P3.5 
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector
Feng, DiRobert Bosch GmbH
Wei, XiaoKTH Royal Institute of Technology
Rosenbaum, LarsRobert Bosch GmbH
Maki, AtsutoKTH Royal Institute of Technology
Dietmayer, KlausUniversity of Ulm
 
11:00-12:30, Paper MoAM_P3.6 
Beyond Bounding Boxes: Using Bounding Shapes for Real-Time 3D Vehicle Detection from Monocular RGB Images
Gählert, NilsDaimler AG, University of Jena
Wan, Jun-JunKarlsruhe Institute of Technology, Daimler AG R & D
Weber, MichaelFZI Research Center for Information Technology
Zöllner, J. MariusFZI Research Center for Information Technology; KIT Karlsruhe In
Franke, UweDaimler AG
Denzler, JoachimFriedrich-Schiller-University Jena
 
11:00-12:30, Paper MoAM_P3.7 
A Deep-Learning Approach for Parking Slot Detection on Surround-View Images
Zinelli, AndreaUniversity of Parma
Musto, LuigiUniversità Di Parma
Pizzati, FabioUniversity of Bologna, Vislab SRL, University of Parma
 
11:00-12:30, Paper MoAM_P3.8 
A Hierarchical Network for Diverse Trajectory Proposals
N N, SriramIIIT Hyderabad
Kumar, GouravRoom 326, Kadamba Niwas
Bhadoriya, Abhay SinghIIIT Hyderabad
Mustikovela, Siva KarthikHeidelberg University
Saurav, SaketIIIT Hyderabad
Bhowmick, BrojeshwarTCS Research
Krishna, K MadhavaIIIT Hyderabad
 
11:00-12:30, Paper MoAM_P3.9 
Graph Neural Networks for Modelling Traffic Participant Interaction
Diehl, FrederikFortiss GmbH
Brunner, ThomasFortiss GmbH
Truong Le, MichaelFortiss GmbH
Knoll, AloisTechnische Universität München
 
11:00-12:30, Paper MoAM_P3.10 
Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks
Spata, DominicRuhr University Bochum
Horn, DanielaRuhr University Bochum
Houben, SebastianRuhr-Universität Bochum
 
11:00-12:30, Paper MoAM_P3.11 
Single Network Panoptic Segmentation for Street Scene Understanding
de Geus, DaanEindhoven University of Technology
Meletis, PanagiotisEindhoven University of Technology
Dubbelman, GijsEindhoven University of Technology
 
11:00-12:30, Paper MoAM_P3.12 
Forecasting Pedestrian Trajectory with Machine-Annotated Training Data
Styles, OllyUniversity of Warwick
Arun, RossMichigan State University
Sanchez, VictorUniversity of Warwick
 
11:00-12:30, Paper MoAM_P3.13 
Radar-Based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles
Scheiner, NicolasDaimler AG
Appenrodt, NilsDaimler AG
Dickmann, JürgenMercedes-Benz AG
Sick, BernhardUniversity of Kassel
 
11:00-12:30, Paper MoAM_P3.14 
Angular Resolution Improvement by Using Multi-Radar and FBSS MUSIC DoA Estimation Algorithm
Paaso, HennaVTT Technical Research Centre of Finland
Hirvonen, MerviVTT
 
11:00-12:30, Paper MoAM_P3.15 
Association of Straight Radar Landmarks for Vehicle Self-Localization
Werber, KlaudiusDaimler Trucks North America LLC
Klappstein, JensDaimler AG
Dickmann, JürgenMercedes-Benz AG
Waldschmidt, ChristianUniversity of Ulm
 
11:00-12:30, Paper MoAM_P3.16 
Micro-Doppler Extraction of Bicycle Pedaling Movements Using Automotive Radar
Held, PatrickTechnische Hochschule Ingolstadt
Steinhauser, DagmarTechnische Hochschule Ingolstadt
Kamann, AlexanderTechnische Hochschule Ingolstadt
Koch, AndreasContinental, Business Unit ADAS
Brandmeier, ThomasIngolstadt University of Applied Sciences
Schwarz, UlrichTU Chemnitz
 
11:00-12:30, Paper MoAM_P3.17 
Fast Implementation of Volumetric Occupancy Grids
Slutsky, MichaelGeneral Motors Advanced Technical Center Israel
Dobkin, DanielGeneral Motors
 
11:00-12:30, Paper MoAM_P3.18 
Semantic Segmentation on Automotive Radar Maps
Prophet, RobertFAU Erlangen-Nuremberg
Li, GangValeo Schalter Und Sensoren GmbH
Sturm, ChristianActive Safety Product Line, VALEO Schalter Und Sensoren GmbH
Vossiek, MartinFAU Erlangen-Nuremberg, Institute of Microwaves and Photonics (L
 
11:00-12:30, Paper MoAM_P3.19 
Micro-Doppler Extraction of Pedestrian Limbs for High Resolution Automotive Radar
Steinhauser, DagmarTechnische Hochschule Ingolstadt
Held, PatrickTechnische Hochschule Ingolstadt
Kamann, AlexanderTechnische Hochschule Ingolstadt
Koch, AndreasContinental, Business Unit ADAS
Brandmeier, ThomasIngolstadt University of Applied Sciences
 
11:00-12:30, Paper MoAM_P3.20 
A Radar Measurement Model for Extended Object Tracking in Dynamic Scenarios
Berthold, PhilippUniversity of the Bundeswehr Munich
Michaelis, MartinUniBw München
Luettel, ThorstenUniversity of the Bundeswehr Munich
Meissner, DanielUniversity of Ulm
Wuensche, Hans Joachim JoeUniversity BW Munich
 
11:00-12:30, Paper MoAM_P3.21 
Efficient Living Subject Localization and Weak Vital-Sign Signal Enhancement Using Impulse Radio Based UWB Radar
Deng, QiwenPurdue University
Le, JialiangFord Motor Company
Barbat, SaeedFord Motor Company
Tian, RenranIndiana Univ.-Purdue Univ. Indianapolis
Chen, YaobinPurdue School of Engineering and Technology, IUPUI
 
MoPM_Keynote Berlioz Auditorium
Keynote: Tom Voege, Transport Policy Expert Plenary Session
 
13:30-14:13, Paper MoPM_Keynote.1 
Public Policy Challenges of New Mobility Services
Voege, TomTransport Policy Expert
 
MoPM1_Oral Berlioz Auditorium
Human Factors Regular Session
 
14:13-14:24, Paper MoPM1_Oral.1 
Marker-Less Vision-Based Detection of Improper Seat Belt Routing
Baltaxe, MichaelGeneral Motors R&D
Mergui, RubenGeneral Motors R&D
Nistel, KobiGeneral Motors R&D
Kamhi, GilaGeneral Motors R&D
 
14:24-14:35, Paper MoPM1_Oral.2 
Regeneration and Joining of the Learned Motion Primitives for Automated Vehicle Motion Planning Applications
Wang, BoyangBeijing Institute of Technology
Gong, JianweiBeijing Institute of Technology
Liang, WenliBeijing Institute of Technology
Chen, HuiyanBeijing Institute of Technology
 
14:35-14:46, Paper MoPM1_Oral.3 
A Driver Situational Awareness Estimation System Based on Standard Glance Model for Unscheduled Takeover Situations
Hiroaki, HayashiWaseda University
Kamezaki, MitsuhiroWaseda University
Manawadu, UdaraWaseda University
Kawano, TakahiroWaseda University
Ema, TakaakiWaseda University
Tomita, TomoyaWaseda University
Lollett, CatherineWaseda
Sugano, ShigekiWaseda University
 
14:46-14:57, Paper MoPM1_Oral.4 
Exploring the Use of Augmented Reality Interfaces for Driver Assistance in Short-Notice Takeovers
Lindemann, PatrickTechnical University of Munich
Müller, NiklasLudwig-Maximilians-Universität München
Rigoll, GerhardMunich University of Technology
 
MoPM2_Oral Berlioz Auditorium
Vulnerable Road-User Safety Regular Session
 
14:57-15:08, Paper MoPM2_Oral.1 
Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks
Zernetsch, StefanUniversity of Applied Sciences Aschaffenburg
Reichert, HannesUniversity of Applied Sciences Aschaffenburg
Kress, ViktorUniversity of Applied Sciences Aschaffenburg
Doll, KonradUniversity of Applied Sciences Aschaffenburg
Sick, BernhardUniversity of Kassel
 
15:08-15:19, Paper MoPM2_Oral.2 
Opportunistic Use of In-Vehicle Wireless Networks for Vulnerable Road User Interaction
d'Orey, Pedro M.Instituto De Telecomunicações - VAT Nr: PT 502 854 200
Salgueiro dos Santos, Pedro MiguelUniversity of Porto
Pintor, JoséUniversidade Do Porto
Aguiar, AnaUniversity of Porto - Faculty of Engineering
 
15:19-15:30, Paper MoPM2_Oral.3 
Context-Based Cyclist Path Prediction Using Recurrent Neural Networks
Pool, Ewoud Alexander IgnaczDelft University of Technology
Kooij, Julian Francisco PieterDelft University of Technology
Gavrila, Dariu M.TU Delft
 
MoPM_PO Room 4
Poster 2: (Orals) Human Factors + VRU Poster Session
 
16:00-17:30, Paper MoPM_PO.1 
Marker-Less Vision-Based Detection of Improper Seat Belt Routing
Baltaxe, MichaelGeneral Motors R&D
Mergui, RubenGeneral Motors R&D
Nistel, KobiGeneral Motors R&D
Kamhi, GilaGeneral Motors R&D
 
16:00-17:30, Paper MoPM_PO.2 
Regeneration and Joining of the Learned Motion Primitives for Automated Vehicle Motion Planning Applications
Wang, BoyangBeijing Institute of Technology
Gong, JianweiBeijing Institute of Technology
Liang, WenliBeijing Institute of Technology
Chen, HuiyanBeijing Institute of Technology
 
16:00-17:30, Paper MoPM_PO.3 
A Driver Situational Awareness Estimation System Based on Standard Glance Model for Unscheduled Takeover Situations
Hiroaki, HayashiWaseda University
Kamezaki, MitsuhiroWaseda University
Manawadu, UdaraWaseda University
Kawano, TakahiroWaseda University
Ema, TakaakiWaseda University
Tomita, TomoyaWaseda University
Lollett, CatherineWaseda
Sugano, ShigekiWaseda University
 
16:00-17:30, Paper MoPM_PO.4 
Exploring the Use of Augmented Reality Interfaces for Driver Assistance in Short-Notice Takeovers
Lindemann, PatrickTechnical University of Munich
Müller, NiklasLudwig-Maximilians-Universität München
Rigoll, GerhardMunich University of Technology
 
16:00-17:30, Paper MoPM_PO.5 
Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks
Zernetsch, StefanUniversity of Applied Sciences Aschaffenburg
Reichert, HannesUniversity of Applied Sciences Aschaffenburg
Kress, ViktorUniversity of Applied Sciences Aschaffenburg
Doll, KonradUniversity of Applied Sciences Aschaffenburg
Sick, BernhardUniversity of Kassel
 
16:00-17:30, Paper MoPM_PO.6 
Opportunistic Use of In-Vehicle Wireless Networks for Vulnerable Road User Interaction
d'Orey, Pedro M.Instituto De Telecomunicações
Pintor, JoséUniversidade Do Porto
Salgueiro dos Santos, Pedro MiguelUniversity of Porto
Aguiar, AnaUniversity of Porto - Faculty of Engineering
 
16:00-17:30, Paper MoPM_PO.7 
Context-Based Cyclist Path Prediction Using Recurrent Neural Networks
Pool, Ewoud Alexander IgnaczDelft University of Technology
Kooij, Julian Francisco PieterDelft University of Technology
Gavrila, Dariu M.TU Delft
 
MoPM_P1 Room 5
Poster 2: Human Factors + VRU Poster Session
 
16:00-17:30, Paper MoPM_P1.1 
Investigating User Requirements for Communication between Automated Vehicles and Vulnerable Road Users
Löcken, AndreasTechnische Hochschule Ingolstadt
Wintersberger, PhilippUniversity of Applied Sciences Ingolstadt
Frison, Anna KatharinaTechnische Hochschule Ingolstadt (THI)
Riener, AndreasUniversity of Applied Sciences Ingolstadt
 
16:00-17:30, Paper MoPM_P1.2 
Extension of the 3DCoAutoSim to Simulate Vehicle and Pedestrian Interaction Based on SUMO and Unity 3D
Artal-Villa, LeyrePublic University of Navarra, Dept. Electrical and Electronic En
Hussein, AhmedIAV GmbH
Olaverri-Monreal, CristinaJohannes Kepler University Linz
 
16:00-17:30, Paper MoPM_P1.3 
Optimal Motion Planning with Reachable Sets of Vulnerable Road Users
Hartmann, MichaelUniversity of Technology Graz (Austria) and Virtual Vehicle Rese
Watzenig, DanielVirtual Vehicle Research Center
 
16:00-17:30, Paper MoPM_P1.4 
Top-View Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded Campus
Yang, DongfangThe Ohio State University
Li, LinhuiDalian University of Technology
Redmill, KeithOhio State University
Ozguner, UmitOhio State University
 
16:00-17:30, Paper MoPM_P1.5 
Composable Q-Functions for Pedestrian Car Interactions
Muench, ChristianDaimler AG
Gavrila, Dariu M.TU Delft
 
16:00-17:30, Paper MoPM_P1.6 
Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis
Alves Ridel, DanielaUniversity of São Paulo (USP)
Deo, NachiketUniversity of California San Diego
Wolf, DenisUniversity of Sao Paulo
Trivedi, Mohan M.University of California at San Diego
 
16:00-17:30, Paper MoPM_P1.7 
Pedestrian Trajectory Prediction with Learning-Based Approaches: A Comparative Study
Li, YangState Key Laboratory of Automotive Safety and Energy, Tsinghua U
Xin, Long1 Tsinghua University, 2 University of California, Berkeley
Yu, DamengTsinghua University
Dai, PengwenThe State Key Laboratory of Information Security, Institute of I
Wang, JianqiangTsinghua University
Li, Shengbo EbenTsinghua University
 
16:00-17:30, Paper MoPM_P1.8 
DD-Pose - a Large-Scale Driver Head Pose Benchmark
Roth, MarkusDaimler R&D
Gavrila, Dariu M.TU Delft
 
16:00-17:30, Paper MoPM_P1.9 
Driver Information Embedding with Siamese LSTM Networks
Dang, HienKnowledge Engineering Group, TU Darmstadt
Fürnkranz, JohannesTU Darmstadt
 
16:00-17:30, Paper MoPM_P1.10 
Towards Tactical Maneuver Detection for Autonomous Driving Based on Vision Only
Breuer, AntoniaVolkswagen
Kirschner, JanaVolkswagen
Homoceanu, SilviuVolkswagen
Fingscheidt, TimTechnische Universität Braunschweig
 
16:00-17:30, Paper MoPM_P1.11 
Driving Behavior Modeling Based on Hidden Markov Models with Driver's Eye-Gaze Measurement and Ego-Vehicle Localization
Akai, NaokiNagoya University
Hirayama, TakatsuguNagoya University
Morales Saiki, Luis YoichiNagoya University
Akagi, YasuhiroNagoya University
Liu, HaiLongNagoya University
Murase, HiroshiNagoya University
 
16:00-17:30, Paper MoPM_P1.12 
Driving Intention Recognition and Lane Change Prediction on the Highway
Han, TeawonThe Ohio State University
Jing, JunboThe Ohio State University, Department of Electrical and Computer
Ozguner, UmitOhio State University
 
16:00-17:30, Paper MoPM_P1.13 
Prediction of Ego Vehicle Trajectories Based on Driver Intention and Environmental Context
Gillmeier, KatharinaPorsche AG
Diederichs, FrederikFraunhofer IAO
Spath, DieterUniversity of Stuttgart
 
16:00-17:30, Paper MoPM_P1.14 
End-To-End Prediction of Driver Intention Using 3D Convolutional Neural Networks
Gebert, PatrickKarlsruhe Institute of Technology (KIT)
Roitberg, AlinaKarlsruhe Institute of Technology (KIT)
Haurilet, MonicaKarlsruhe Institute of Technology
Stiefelhagen, RainerKarlsruhe Institute of Technology
 
16:00-17:30, Paper MoPM_P1.15 
Non-Local Social Pooling for Vehicle Trajectory Prediction
Messaoud, KaoutherINRIA Paris
Yahiaoui, ItheriCReSTIC
Verroust-Blondet, AnneInria Paris-Rocquencourt
Nashashibi, FawziINRIA
 
16:00-17:30, Paper MoPM_P1.16 
Fuzzy Controller Inference Via Gradient Descent to Model the Longitudinal Behavior on Real Drivers
Diaz, AlbertoUniversidad Politécnica De Madrid
Serradilla, FranciscoTechnical University of Madrid
Jiménez, FelipeUniversidad Politécnica De Madrid
Talavera, EdgarUniversidad Politecnica De Madrid
Olaverri-Monreal, CristinaJohannes Kepler University Linz
 
16:00-17:30, Paper MoPM_P1.17 
Camera-Based Eye Blink Detection Algorithm for Assessing Driver Drowsiness
Baccour, Mohamed HediDaimler AG
Driewer, FraukeDaimler AG
Kasneci, EnkelejdaUniversity of Tübingen
Rosenstiel, WolfgangEberhard Karls Universität Tübingen
 
16:00-17:30, Paper MoPM_P1.18 
A Novel Predictive Haptic Control Interface for Automation-To-Human Takeover of Automated Vehicles
Li, YutongNanyang Technological University
Lv, ChenNanyang Technological University
Xue, JunliangBeijing Jingwei Hirain Technologies Co., Ltd
 
MoPM_P2 Room 6+7
Poster 2: AV + Smart Infrastructure Poster Session
 
16:00-17:30, Paper MoPM_P2.1 
Systematic Analysis of the Sensor Coverage of Automated Vehicles Using Phenomenological Sensor Models
Ponn, ThomasTechnical University of Munich
Müller, FabianTechnical University of Munich
Diermeyer, FrankTechnische Universität München
 
16:00-17:30, Paper MoPM_P2.2 
Evaluating Machine Learning & Antenna Placement for Enhanced GNSS Accuracy for CAVs
Adegoke, ElijahUniversity of Warwick
Zidan, JasmineWMG, Warwick University
Kampert, ErikUniversity of Warwick
Jennings, PaulWMG, University of Warwick
Ford, ColinSpirent Communications Plc
Birrell, StewartUniversity of Warwick
Higgins, MatthewUniversity of Warwick
 
16:00-17:30, Paper MoPM_P2.3 
Hybrid Online POMDP Planning and Deep Reinforcement Learning for Safer Self-Driving Cars
Pusse, FlorianSaarland University
Klusch, MatthiasGerman Research Center for AI (DFKI)
 
16:00-17:30, Paper MoPM_P2.4 
Autonomous Vehicle Path Planning Considering Dwarf or Negative Obstacles
Yang, LeiBeijing Institute of Technology
Wang, QiTencent
Tan, YingqiBeijing Polytechnic College
Gong, JianweiBeijing Institute of Technology
 
16:00-17:30, Paper MoPM_P2.5 
Generating Compact Geometric Track-Maps for Train Positioning Applications
Winter, HannoTU Darmstadt
Luthardt, StefanTechnische Universität Darmstadt
Willert, VolkerTU Darmstadt
Adamy, JürgenTU Darmstadt
 
16:00-17:30, Paper MoPM_P2.6 
Optimization-Based Tactical Behavior Planning for Autonomous Freeway Driving in Favor of the Traffic Flow
Bey, HenrikFriedrich-Alexander-Universität Erlangen-Nürnberg
Dierkes, FrankTU Braunschweig
Bayerl, SebastianAudi AG
Lange, AlexanderAUDI AG
Fassbender, DennisAUDI AG
Thielecke, JörnFriedrich-Alexander-Universität Erlangen-Nürnberg
 
16:00-17:30, Paper MoPM_P2.7 
Controllability Analysis and Optimal Controller Synthesis of Mixed Traffic Systems
Wang, JiaweiTsinghua University
Zheng, YangUniversity of Oxford
Xu, QingTsinghua University
Wang, JianqiangTsinghua University
Li, KeqiangTsinghua University
 
16:00-17:30, Paper MoPM_P2.8 
Reactive Path Planning for Autonomous Vehicle
Moreau, JulienBordeaux University, IMS Laboratory
Melchior, PierreUniversité De Bordeaux, IMS - UMR 5218 CNRS
Victor, StéphaneUniversité De Bordeaux, IMS - UMR 5218 CNRS
Moze, MathieuPSA Peugeot Citroen, Velizy, France
Aioun, FrancoisPSA Peugeot Citroen, Velizy, France
Guillemard, FranckPSA Peugeot Citroen, Velizy, France
 
16:00-17:30, Paper MoPM_P2.9 
Pedestrian Collision Avoidance System for Scenarios with Occlusions
Schratter, MarkusVirtual Vehicle Research Center
Bouton, MaximeStanford University
Kochenderfer, MykelStanford University
Watzenig, DanielVirtual Vehicle Research Center
 
16:00-17:30, Paper MoPM_P2.10 
Sampling/Importance Resampling for Semantically Consistent Synthetic to Real Image Domain Adaptation in Urban Traffic Scenes
Savkin, ArtemBMW AG
Kasperek, MonikaBMW AG
Tombari, FedericoTU Munich
 
16:00-17:30, Paper MoPM_P2.11 
Ecological NMPC Controller for Connected and Automated Plug-In Hybrid Electric Vehicles at Roundabouts
Alighanbari, SinaUniversity of Waterloo
L. Azad, NasserUniversity of Waterloo
 
16:00-17:30, Paper MoPM_P2.12 
Motion Planning Framework for Autonomous Vehicles: A Time Scaled Collision Cone Interleaved Model Predictive Control Approach
Theerthala, Raghu RamInternational Institute of Information Technology, Hyderabad
Avula, Venkata Seetharama Sai Bhargav KumarInternational Institute of Information Technology, Hyderabad
Nallana, Mithun BabuIIIT Hyderabad
Singamaneni, Phani TejaLAAS CNRS
Krishna, K MadhavaIIIT Hyderabad
 
16:00-17:30, Paper MoPM_P2.13 
Give Me Two Points and I'll Tell You Who You Are
Mattos, EklerFederal University of Minas Gerais
Souza Araujo Domingues, Augusto CesarFederal University of Minas Gerais
A. F. Loureiro, AntonioFederal University of Minas Gerais
 
16:00-17:30, Paper MoPM_P2.14 
A Novel Traffic Light Control Strategy with a Reconfigured Stop Line
Ji, JinyanNanjing University
Zhao, JiabaoNanjing University
Sun, HaoDepartment of Control and Systems Engineering, Nanjing Universit
 
16:00-17:30, Paper MoPM_P2.15 
Comparing Different On-Street Parking Information for Parking Guidance and Information Systems
Di Martino, SergioUniversity of Naples Federico II
Vitale, Vincenzo NormanUniversity of Naples "Federico II"
 
16:00-17:30, Paper MoPM_P2.16 
Space-Efficient Traffic Protocols for Intelligent Crossroads
Markert, DanielTU Chemnitz
Masrur, AlejandroTechnische Universität Chemnitz
 
16:00-17:30, Paper MoPM_P2.17 
Novel Context-Aware Classification for Highly Accurate Automatic Toll Collection
Khata, MarouanCyclope.ai, Vinci Autoroutes
Shvai, NadiyaCyclope.ai, Vinci Autoroutes
Hasnat, AbulCyclope.ai
Meicler, AntoineCyclope.ai, Vinci Autoroutes
Llanza, ArcadiCyclope.ai, Vinci Autoroutes
Sanogo, AssanCyclope.ai, Vinci Autoroutes
Nakib, AmirUniversity Paris Est
 
16:00-17:30, Paper MoPM_P2.18 
Designing an IoT Framework for Automated Driving Impact Analysis
Bellotti, FrancescoUniversità Degli Studi Di Genova
Berta, RiccardoUniversità Degli Studi Di Genova
Kobeissi, AhmadUniversità Degli Studi Di Genova
Osman, NisrineUniversità Degli Studi Di Genova
Arnold, EduardoUniversity of Warwick
Dianati, MehrdadUniversity of Warwick
Nagy, BenAssisted & Automated Driving, Jaguar Land Rover
De Gloria, AlessandroUniversità Degli Studi Di Genova
 
MoPM_P3 Room 9
Poster 2: Mapping and Localization Poster Session
 
16:00-17:30, Paper MoPM_P3.1 
A Tight Coupling of Vision-Lidar Measurements for Effective Odometry
Seo, YoungWooCarnegie Mellon University
Chih-Chung, ChouNational Taiwan University
 
16:00-17:30, Paper MoPM_P3.2 
VIZARD: Reliable Visual Localization for Autonomous Vehicles in Urban Outdoor Environments
Bürki, MathiasETH Zürich
Schaupp, LukasETH Zürich
Dymczyk, Marcin TomaszETH Zurich, Autonomous Systems Lab
Dubé, RenaudSevensense Robotics AG
Cadena, CesarETH Zurich
Siegwart, RolandETH Zurich
Nieto, Juan IgnacioETH Zurich
 
16:00-17:30, Paper MoPM_P3.3 
Incrementally Learned Mixture Models for GNSS Localization
Pfeifer, TimChemnitz University of Technology
Protzel, PeterChemnitz University of Technology
 
16:00-17:30, Paper MoPM_P3.4 
Multisensor Fusion Localization Using Extended H-Infinity Filter Using Pre-Filtered Sensors Measurements
Osman, Mostafa Elsaid AbdelazizMechanical and Mechatronics Department, University of Waterloo,
Alonso Cortizo, RicardoIntelligent Systems Lab (LSI) Research Group, Universidad Carlos
Hammam, AhmedGerman University in Cairo
Moreno, Francisco MiguelIntelligent Systems Lab (LSI), Universidad Carlos III De Madrid
Al-Kaff, AbdullaUniversidad Carlos III De Madrid
Hussein, AhmedIAV GmbH
 
16:00-17:30, Paper MoPM_P3.5 
Real-Time Pose Graph SLAM Based on Radar
Holder, Martin FriedrichTechnische Universität Darmstadt
Hellwig, SvenTechnische Universität Darmstadt
Winner, HermannTechnische Universität Darmstadt
 
16:00-17:30, Paper MoPM_P3.6 
Ground Truth Generation for Quantitative Performance Evaluation of Localization Methods in Urban Areas
Takeda, YuichiNissan Motor Co., Ltd
Tsuchiya, ChikaoNissan Motor Co., Ltd
Khiat, AbdelazizNissan Motor Co., Ltd
 
16:00-17:30, Paper MoPM_P3.7 
A Self-Localization Method for Urban Environments Using Vehicle-Body-Embedded Off-The-Shelf Sensors
Tsuchiya, ChikaoNissan Motor Co., Ltd
Takeda, YuichiNissan Motor Co., Ltd
Khiat, AbdelazizNissan Motor Co., Ltd
 
16:00-17:30, Paper MoPM_P3.8 
Identifying Robust Landmarks in Feature-Based Maps
Berrio Perez, Julie StephanyUniversity of Sydney
Ward, James RobertUniversity of Sydney
Worrall, StewartUniversity of Sydney
Nebot, EduardoACFR University of Sydney
 
16:00-17:30, Paper MoPM_P3.9 
Updating the Visibility of a Feature-Based Map for Long-Term Maintenance
Berrio Perez, Julie StephanyUniversity of Sydney
Ward, James RobertUniversity of Sydney
Worrall, StewartUniversity of Sydney
Nebot, EduardoACFR University of Sydney
 
16:00-17:30, Paper MoPM_P3.10 
Map Switching Monte Carlo LiDAR Localization for Automated Driving in Parking Garages
Henke, BirgitFraunhofer FOKUS
Hark, Johann NikolaiFraunhofer FOKUS
Becker, DanielDaimler Center for Automotive Information Technology Innovations
Sawade, OliverFraunhofer Institut for Open Communication Systems
Radusch, IljaDaimler Center for Automotive Information Technology Innovations
 
16:00-17:30, Paper MoPM_P3.11 
Accurate Global Trajectory Alignment Using Poles and Road Markings
Hu, HaohaoKarlsruhe Institute of Technology
Sons, MarcKarlsruhe Institute of Technology
Stiller, ChristophKarlsruhe Institute of Technology
 
16:00-17:30, Paper MoPM_P3.12 
On Ambiguities in Feature-Based Vehicle Localization and Their a Priori Detection in Maps
Hofstetter, IsabellDaimler AG
Sprunk, MichaelDaimler AG
Schuster, FrankDaimler AG
Ries, FlorianDaimler AG
Haueis, MartinDaimler AG
 
16:00-17:30, Paper MoPM_P3.13 
Urban Localization with Street Views Using a Convolutional Neural Network for End-To-End Camera Pose Regression
Bresson, GuillaumeInstitut VEDECOM
Yu, LiMINES ParisTech
Joly, CyrilMINES ParisTech, PSL Research University
Moutarde, FabienMINES ParisTech
 
16:00-17:30, Paper MoPM_P3.14 
DL-SLAM: Direct 2.5D LiDAR SLAM for Autonomous Driving
Li, JunTongji University
Zhao, JunqiaoTongji University
Kang, YuchenTongji University
He, XudongTongji University
Ye, ChenTongji Unviersity
Sun, LuTongji University
 
16:00-17:30, Paper MoPM_P3.15 
Crowdsourced HD Map Patches Based on Road Model Inference and Graph-Based SLAM
Liebner, MartinBMW Group
Jain, DominikJambit GmbH
Schauseil, JulianJambit GmbH
Pannen, DavidBMW Group
Hackelöer, AndreasBMW Group
 
16:00-17:30, Paper MoPM_P3.16 
Pose and Covariance Matrix Propagation Issues in Cooperative Localization with LiDAR Perception
Héry, ElwanUniversity of Technology of Compiègne
Xu, PhilippeUniversity of Technology of Compiegne
Bonnifait, PhilippeUniversity of Technology of Compiegne
 
16:00-17:30, Paper MoPM_P3.17 
Estimating the Reliability of Georeferenced Lane Markings for Map-Aided Localization
Welte, AnthonyUTC
Xu, PhilippeUniversity of Technology of Compiegne
Bonnifait, PhilippeUniversity of Technology of Compiegne
Zinoune, ClémentUniversity of Technologie of Compiègne, Renault SAS
 
16:00-17:30, Paper MoPM_P3.18 
High Integrity Localization with Multi-Lane Camera Measurements
Al Hage, JoelleUniversité De Technologie De Compiègne (UTC)
Xu, PhilippeUniversity of Technology of Compiegne
Bonnifait, PhilippeUniversity of Technology of Compiegne
 
16:00-17:30, Paper MoPM_P3.19 
Real-Time Adaptive UWB Positioning System Enhanced by Sensor Fusion for Multiple Targets Detection
Wijaya, BennyTsinghua University
Deng, NanshanTsinghua University
Jiang, KunTsinghua University
Yan, RuidongTsinghua University
Yang, DiangeState Key Laboratory of Automotive Safety and Energy, Collaborat
 
16:00-17:30, Paper MoPM_P3.20 
Metrics for the Evaluation of Localization Robustness
Yi, SiqiUniversity of Sydney
Worrall, StewartUniversity of Sydney
Nebot, EduardoACFR University of Sydney
 
16:00-17:30, Paper MoPM_P3.21 
Accurate Elevation Maps Based Graph-Slam Framework for Autonomous Driving
Aldibaja, MohammadKanazawa University
Yanase, RyoKanazawa University
Kim, TaeHyonKanazawa University
Kuramoto, AkisueTokyo Metropolitan University
Yoneda, KeisukeKanazawa University
Suganuma, NaokiKanazawa University
 
16:00-17:30, Paper MoPM_P3.22 
3D Semantic Modelling with Label Correction for Extensive Outdoor Scene
Chen, YuhaoShanghai Jiao Tong University
Yang, MingShanghai Jiao Tong University
Wang, ChunxiangShanghai Jiao Tong University
Wang, BingShanghai Jiao Tong University, SEIEE
 
16:00-17:30, Paper MoPM_P3.23 
GNSS NLOS Signal Modeling and Quantification Method in Railway Urban Canyon Environment
Jiang, ShuxianBeijing Jiaotong University
Lu, DebiaoBeijing Jiaotong University
Cai, BaigenBeijing Jiaotong University
 
16:00-17:30, Paper MoPM_P3.24 
Graph Matching Pose SLAM Based on Road Network Information
He, LeiShanghai Jiao Tong University
Yang, MingShanghai Jiao Tong University
Li, HaoShanghai Jiao Tong University
He, YueshengThe Key Laboratory of System Control and Information Processing,
Wang, BingShanghai Jiao Tong University, SEIEE
Wang, ChunxiangShanghai Jiao Tong University

 
 

 
 

 

All Content © PaperCept, Inc.

This site is protected by copyright and trademark laws under US and International law.
All rights reserved. © 2002-2019 PaperCept, Inc.
Page generated 2019-06-16  00:20:01 PST  Terms of use