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ORCIDIV 2021: Nagoya, Japan
- IEEE Intelligent Vehicles Symposium, IV 2021, Nagoya, Japan, July 11-17, 2021. IEEE 2021, ISBN 978-1-7281-5394-0
- Yudai Sato, Shuntaro Kashihara, Tomohiko Ogishi:
Implementation and Evaluation of Latency Visualization Method for Teleoperated Vehicle. 1-7 - Joash Lee
, Dusit Niyato, Yong Liang Guan, Dong In Kim:
Learning to Schedule Joint Radar-Communication Requests for Optimal Information Freshness. 8-15 - Mohamed El Mostadi, Hélène Waeselynck, Jean-Marc Gabriel:
Seven Technical Issues That May Ruin Your Virtual Tests for ADAS. 16-21 - Alexander Reichenbach, J.-Emeterio Navarro-B.:
A model for traffic incident prediction using emergency braking data. 22-27 - Cyrano Vaseur, Sebastiaan van Aalst, Wim Desmet:
Robust vehicle state and tire force estimation: Highlights on effects of road angles and sensor performance. 28-33 - Karsten Kreutz, Julian Eggert:
Analysis of the Generalized Intelligent Driver Model (GIDM) for merging situations. 34-41 - Guoqing Xu, Menglong Peng, Zhidong Huang:
A novel tire-road adhesion stability model and control strategy for centralized drive pure electric vehicles. 42-48 - Thomas Schwarzhuber, Michael Graf, Arno Eichberger:
Investigations on Model Predictive Control Objectives for Motion Cueing Algorithms in Motorsport Driving Simulators. 49-54 - Yuto Fukushima, Yusuke Asai, Shunsuke Aoki, Takuro Yonezawa, Nobuo Kawaguchi:
DigiMobot: Digital Twin for Human-Robot Collaboration in Indoor Environments. 55-62 - Julian Bernhard, Alois C. Knoll:
Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving. 63-70 - Tobias Klamt, Holger Mielcnz:
Scenario Dependency Graphs for Efficient Development of Automated Driving Systems towards Market Entry. 71-76 - Stephan Zieger, Nils Nießen:
Opportunities and Challenges for the Demand-Responsive Transport Using Highly Automated and Autonomous Rail Units in Rural Areas. 77-82 - Maximilian Naumann, Florian Wirth, Fabian Oboril, Kay-Ulrich Scholl, Maria Soledad Elli, Ignacio J. Alvarez, Jack Weast, Christoph Stiller:
On Responsibility Sensitive Safety in Car-following Situations - A Parameter Analysis on German Highways. 83-90 - Jia Liu, Boyang Wang, Haiou Liu, Feihong Mao:
Slip Estimation for Autonomous Tracked Vehicles via Machine Learning. 91-98 - Fabian Oboril, Kay-Ulrich Scholl:
RSS+: Pro-Active Risk Mitigation for AV Safety Layers based on RSS. 99-106 - Shiwei Fan, Xiangxu Li, Fei Li:
Intention-Driven Trajectory Prediction for Autonomous Driving. 107-113 - Eslam Mohamed, Mahmoud Ewaisha, Mennatullah Siam, Hazem Rashed, Senthil Kumar Yogamani, Waleed Hamdy, Mohamed El-Dakdouky, Ahmad El Sallab:
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-Task Baseline. 114-121 - Zhong Cao, Jiaxin Liu, Weitao Zhou, Xinyu Jiao, Diange Yang:
LiDAR-based Object Detection Failure Tolerated Autonomous Driving Planning System. 122-128 - Florence Carton, David Filliat, Jaonary Rabarisoa, Quoc Cuong Pham:
Evaluating Robustness over High Level Driving Instruction for Autonomous Driving. 129-135 - Dennis Bruggner, Anoosh Hegde, Flavia Sofia Acerbo, Dhiraj Gulati, Tong Duy Son:
Model in the Loop Testing and Validation of Embedded Autonomous Driving Algorithms. 136-141 - Inga Jatzkowski, Till Menzel, Ansgar Bock, Markus Maurer:
A Knowledge-based Approach for the Automatic Construction of Skill Graphs for Online Monitoring. 142-149 - Xingyu Xing, Tangrui Zhou, Junyi Chen, Lu Xiong, Zhuoping Yu:
A Hazard Analysis Approach based on STPA and Finite State Machine for Autonomous Vehicles. 150-156 - Zahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio, Timothy Tsai, Alejandro J. Troccoli, Stephen W. Keckler, Siddharth Garg, Anima Anandkumar:
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles. 157-164 - Kaouther Messaoud, Nachiket Deo, Mohan M. Trivedi, Fawzi Nashashibi:
Trajectory Prediction for Autonomous Driving based on Multi-Head Attention with Joint Agent-Map Representation. 165-170 - Lukas M. Schmidt, Georgios D. Kontes, Axel Plinge, Christopher Mutschler:
Can You Trust Your Autonomous Car? Interpretable and Verifiably Safe Reinforcement Learning. 171-178 - Yun Tang, Yuan Zhou, Yang Liu, Jun Sun, Gang Wang:
Collision Avoidance Testing for Autonomous Driving Systems on Complete Maps. 179-185 - Hanna Krasowski, Matthias Althoff:
Temporal Logic Formalization of Marine Traffic Rules. 186-192 - Baiyu Peng, Yao Mu, Jingliang Duan, Yang Guan, Shengbo Eben Li, Jianyu Chen:
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning. 193-199 - Faris Janjos, Maxim Dolgov, J. Marius Zöllner:
Self-Supervised Action-Space Prediction for Automated Driving. 200-207 - Johannes Hiller, Fabian Müller, Lutz Eckstein:
Aggregation of Road Characteristics from Online Maps and Evaluation of Datasets. 208-214 - Boutheina Bannour, Julien Niol, Paolo Crisafulli:
Symbolic Model-based Design and Generation of Logical Scenarios for Autonomous Vehicles Validation. 215-222 - Fei Ye, Pin Wang, Ching-Yao Chan, Jiucai Zhang:
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles. 223-230 - Daniel Omeiza, Helena Webb, Marina Jirotka, Lars Kunze:
Towards Accountability: Providing Intelligible Explanations in Autonomous Driving. 231-237 - Kyle Hollins Wray, Richard Lui, Liam Pedersen:
Engine Activation Planning for Series Hybrid Electric Vehicles. 238-244 - Jürgen Pichen, Linda Miller, Martin Baumann:
Cooperative Speed Regulation in Automated Vehicles: A Comparison Between a Touch, Pedal, and Button Interface as the Input Modality. 245-250 - Quentin Goss, Yara AlRashidi, Mustafa Ilhan Akbas:
Generation of Modular and Measurable Validation Scenarios for Autonomous Vehicles Using Accident Data. 251-257 - Thomas Drage, Kai Li Lim, Joey En Hai Koh, David Gregory, Craig Brogle, Thomas Bräunl:
Integrated Modular Safety System Design for Intelligent Autonomous Vehicles. 258-265 - Ruochen Jiao, Hengyi Liang, Takami Sato, Junjie Shen, Qi Alfred Chen, Qi Zhu:
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering. 266-273 - Farhad Partovi Ebrahimpour, Hasan Ferdowsi:
Multi-Constraint Predictive Control System with Auxiliary Emergency Controllers for Autonomous Vehicles. 274-279 - Larry Schester, Luis E. Ortiz:
Automated Driving Highway Traffic Merging using Deep Multi-Agent Reinforcement Learning in Continuous State-Action Spaces. 280-287 - Emre Esentürk, Siddartha Khastgir, Albert G. Wallace, Paul A. Jennings:
Analyzing Real-world Accidents for Test Scenario Generation for Automated Vehicles. 288-295 - Jia Shi, Pengfei Li, Yugong Luo, Weiwei Kong, Keqiang Li:
An Analytical Communication Model Design for Multi-Vehicle Cooperative Control. 296-301 - Shunsuke Aoki, Lung En Jan, Junfeng Zhao, Anand Bhat, Chen-Fang Chang, Ragunathan Raj Rajkumar:
MultiCruise: Eco-Lane Selection Strategy with Eco-Cruise Control for Connected and Automated Vehicles. 302-308 - Bo Jin, Qian Fang, Qingyuan Wang, Pengfei Sun, Xiaoyun Feng:
Energy-Efficient Train Control in Urban Rail Transit: Multi-Train Dynamic Cooperation based on Train-to-Train Communication. 309-314 - Matti Kutila, Kimmo Kauvo, Pasi Pyykönen, Xiaoyun Zhang, Victor Garrido Martinez, Yinxiang Zheng, Shen Xu:
A C-V2X/5G Field Study for Supporting Automated Driving. 315-320 - Tobias Madl:
Security Concept with Distributed Trust-Levels for Autonomous Cooperative Vehicle Networks. 321-328 - Xiaojun Li, Guiping Wang, Li Li, Yanan Gao, Bo Zhang:
A collaborative location method of connected vehicles based on Kalman filter framework. 329-335 - Annie Saleh, Victor Chirila, Maxime Ruel, Pierre Villemure:
Empirical Performance of Dedicated Short-Range Communication in Various Road and Environmental Conditions. 336-341 - Jizheng Liu, Zhenpo Wang, Lei Zhang:
Event-Triggered Vehicle-Following Control for Connected and Automated Vehicles under Nonideal Vehicle-to-Vehicle Communications. 342-347 - Hao M. Wang, Sergei S. Avedisov, Ahmed Hamdi Sakr, Onur Altintas, Gábor Orosz:
Opportunistic Strategy for Cooperative Maneuvering Using Conflict Analysis. 348-353 - Shiliang Zhang:
An Energy Consumption Model for Electrical Vehicle Networks via Extended Federated-learning. 354-361 - Keno Garlichs, Alexander Willecke, Andreas-Christian Hagau, Lars C. Wolf:
FLaRA: A Simple Facilities Layer Resource Allocator. 362-368 - Xiruo Liu, Lily L. Yang, Ignacio J. Alvarez, Kathiravetpillai Sivanesan, Arvind Merwaday, Fabian Oboril, Cornelius Bürkle, Manoj R. Sastry, Leonardo Gomes Baltar:
MISO- V: Misbehavior Detection for Collective Perception Services in Vehicular Communications. 369-376 - Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan:
Trust-aware Control for Intelligent Transportation Systems. 377-384 - Vandana Narri, Amr Alanwar, Jonas Mårtensson, Christoffer Norén, Laura Dal Col, Karl Henrik Johansson:
Set-Membership Estimation in Shared Situational Awareness for Automated Vehicles in Occluded Scenarios. 385-392 - Xiangguo Liu, Baiting Luo, Ahmed Abdo, Nael B. Abu-Ghazaleh, Qi Zhu:
Securing Connected Vehicle Applications with an Efficient Dual Cyber- Physical Blockchain Framework. 393-400 - Ahmed Abdo, Guoyuan Wu, Nael B. Abu-Ghazaleh:
Secure Ramp Merging using Blockchain. 401-408 - Philipp Kremer, Sangyoung Park:
Detection and Mitigation of Safety Critical Lane Changes in Partially-Connected Vehicles. 409-414 - Claudia V. Goldman, Michael Baltaxe:
Why are you predicting this class? 415-420 - Zhicheng Zhang, Yafei Wang, Xulei Liu:
TAPNet: Enhancing Trajectory Prediction with Auxiliary Past Learning Task. 421-426 - Monty Santarossa, Lukas Schneider, Claudius Zelenka, Lars Schmarje, Reinhard Koch, Uwe Franke:
Learning Stixel-based Instance Segmentation. 427-434 - Nemanja Djuric, Henggang Cui, Zhaoen Su, Shangxuan Wu, Huahua Wang, Fang-Chieh Chou, Luisa San Martin, Song Feng, Rui Hu, Yang Xu, Alyssa Dayan, Sidney Zhang, Brian C. Becker, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington:
MultiXNet: Multiclass Multistage Multimodal Motion Prediction. 435-442 - Alessandro Paolo Capasso, Paolo Maramotti, Anthony Dell'Eva, Alberto Broggi:
End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning. 443-450 - Tengchan Zeng, Jianlin Guo, Kyeong Jin Kim, Kieran Parsons, Philip V. Orlik, Stefano Di Cairano, Walid Saad:
Multi-Task Federated Learning for Traffic Prediction and Its Application to Route Planning. 451-457 - Moritz Benedikt Fischer, Sebastian Dörner, Sebastian Cammerer, Takayuki Shimizu, Bin Cheng, Hongsheng Lu, Stephan ten Brink:
Wiener Filter versus Recurrent Neural Network-based 2D-Channel Estimation for V2X Communications. 458-465 - Fabian Küppers, Jan Kronenberger, Jonas Schneider, Anselm Haselhoff:
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling. 466-472 - Jinxin Zhao, Jin Fang, Zhixian Ye, Liangjun Zhang:
Large Scale Autonomous Driving Scenarios Clustering with Self-supervised Feature Extraction. 473-480 - Fabian Woitschek, Georg Schneider:
Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign Recognition: A Feasibility Study. 481-487 - Mathis Brosowsky, Florian Keck, Jakob Ketterer, Simon T. Isele, Daniel Slieter, Johann Marius Zöllner:
Safe Deep Reinforcement Learning for Adaptive Cruise Control by Imposing State-Specific Safe Sets. 488-495 - Most. Kaniz Fatema Isha, Md. Nazirul Hasan Shawon, Md. Shamim, Md. Nazmus Shakib, M. M. A. Hashem, Md. Abdus Samad Kamal:
A DNN Based Driving Scheme for Anticipatory Car Following Using Road-Speed Profile. 496-501 - Shuo Chen, Kailun Yang, Rainer Stiefelhagen:
DR-TANet: Dynamic Receptive Temporal Attention Network for Street Scene Change Detection. 502-509 - Armando Astudillo, Abdulla Al-Kaff, Ángel Madridano, Fernando García:
Reducing the Breach between Simulated and Real Data for Top View Images. 510-515 - Oliver De Candido, Maximilian Binder, Wolfgang Utschick:
An Interpretable Lane Change Detector Algorithm based on Deep Autoencoder Anomaly Detection. 516-523 - Baiting Luo, Xiangguo Liu, Qi Zhu:
Credibility Enhanced Temporal Graph Convolutional Network Based Sybil Attack Detection On Edge Computing Servers. 524-531 - Niklas Hanselmann, Nick Schneider, Benedikt Ortelt, Andreas Geiger:
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation. 532-539 - Xinnan Du, William Zhang, José M. Álvarez:
Boosting Supervised Learning Performance with Co-training. 540-545 - Yafu Tian, Alexander Carballo, Ruifeng Li, Kazuya Takeda:
RSG-Net: Towards Rich Sematic Relationship Prediction for Intelligent Vehicle in Complex Environments. 546-552 - Hua Huang, Adrian Barbu:
Predicting Lane Change Decision Making with Compact Support. 553-558 - Arash Tavakoli, Shashwat Kumar, Mehdi Boukhechba, Arsalan Heydarian:
Driver State and Behavior Detection Through Smart Wearables. 559-565 - Alina Roitberg, Simon Reiß, Rainer Stiefelhagen:
From Driver Talk To Future Action: Vehicle Maneuver Prediction by Learning from Driving Exam Dialogs. 566-571 - Shih-Feng Kao, Huei-Yung Lin:
Passenger Detection, Counting, and Action Recognition for Self-Driving Public Transport Vehicles. 572-577 - Catherine Lollett, Mitsuhiro Kamezaki, Shigeki Sugano:
Towards a Driver's Gaze Zone Classifier using a Single Camera Robust to Temporal and Permanent Face Occlusions. 578-585 - Shaoyu Yang, Hiroshi Yoshitake, Motoki Shino, Masamichi Shimosaka:
Smooth and Stopping Interval Aware Driving Behavior Prediction at Un-signalized Intersection with Inverse Reinforcement Learning on Sequential MDPs. 586-593 - Nico Epple, Harshit Chopra, Andreas Riener:
How Do Drivers Observe Surrounding Vehicles in Real-World Traffic? Estimating the Drivers Primary Observed Traffic Objects. 594-601 - Kenny Schlegel, Florian Mirus, Peer Neubert, Peter Protzel:
Multivariate Time Series Analysis for Driving Style Classification using Neural Networks and Hyperdimensional Computing. 602-609 - Luis Gustavo Tomal Ribas, Marta Pereira Cocron, Joed Lopes da Silva, Alessandro Zimmer, Thomas Brandmeier:
In-Cabin vehicle synthetic data to test Deep Learning based human pose estimation models. 610-615 - Naren Bao, Alexander Carballo, Kazuya Takeda:
Prediction of Personalized Driving Behaviors via Driver-Adaptive Deep Generative Models. 616-621 - Atsushi Kuribayashi, Eijiro Takeuchi, Alexander Carballo, Yoshio Ishiguro, Kazuya Takeda:
A Comparison of Methods for Sharing Recognition Information and Interventions to Assist Recognition in Autonomous Driving System. 622-629 - Tatsuya Amemiya, Tsuyoshi Tasaki:
Low-height Obstacle Detection and Avoidance by 3D Geometric Method and Deep Neural Network. 630-637 - Tabea Schmidt, Florian Hauer, Alexander Pretschner:
Understanding Safety for Unmanned Aerial Vehicles in Urban Environments. 638-643 - Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick:
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. 644-651 - Sangjae Bae, David Isele, Kikuo Fujimura, Scott J. Moura:
Risk-Aware Lane Selection on Highway with Dynamic Obstacles. 652-659 - Amine Boussik, Wael Ben Messaoud, Smaïl Niar, Abdelmalik Taleb-Ahmed:
Railway Obstacle Detection Using Unsupervised Learning: An Exploratory Study. 660-667 - João Barros, Luciano Oliveira:
Deep speed estimation from synthetic and monocular data. 668-673 - Lakshman Balasubramanian, Friedrich Kruber, Michael Botsch, Ke Deng:
Open-Set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios. 674-681 - Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng:
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity. 682-689 - Se Hoon Chung, Dae Jung Kim, Jin Sung Kim, Chung Choo Chung:
Collision Detection System for Lane Change on Multi-lanes Using Convolution Neural Network. 690-696 - Yury Furletov, Volker Willert, Jürgen Adamy:
Auditory Scene Understanding for Autonomous Driving. 697-702 - Augusto Luis Ballardini, Álvaro Hernández-Saz, Miguel Ángel Sotelo:
Model Guided Road Intersection Classification. 703-709 - Carlos Gómez Huélamo, Luis Miguel Bergasa, Rodrigo Gutiérrez, Juan Felipe Arango, Alejandro Díaz:
SmartMOT: Exploiting the fusion of HDMaps and Multi-Object Tracking for Real-Time scene understanding in Intelligent Vehicles applications. 710-715 - Daniel Wagner, Konstantin Muth:
Introduction of the Double Image Contrast Ratio (DICR) for P-Polarized Head-up Displays. 716-723 - Antonyo Musabini, Evin Bozbayir, Hervé Marcasuzaa, Omar Adair Islas Ramírez:
Park4U Mate: Context-Aware Digital Assistant for Personalized Autonomous Parking. 724-731 - Aleksander Rydzewski, Pawel Czarnul:
Human awareness versus Autonomous Vehicles view: comparison of reaction times during emergencies. 732-739 - Jana Fank, Frank Diermeyer:
"Look Me in the Eyes!" Analyzing the Effects of Embodiment in Humanized Human-Machine Interaction in Heavy Trucks. 740-747 - Hailong Liu, Takatsugu Hirayama, Masaya Watanabe:
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. 748-754 - Takayuki Kitamura, Taro Kumagai, Takumi Takei, Isao Matsushima, Noboru Oishi, Kei Suwa:
Occupant Body Imaging based on Occupancy Grid Mapping. 755-761 - Shoaib Azam, Farzeen Munir, Moongu Jeon:
Channel Boosting Feature Ensemble for Radar-based Object Detection. 762-769 - Ning Li, Bo Su:
Radar based obstacle detection in unstructured scene. 770-776 - George Sebastian, Teja Vattem, Luka Lukic, Christian Bürgy, Thomas Schumann:
RangeWeatherNet for LiDAR-only weather and road condition classification. 777-784 - Wei-Yu Lee, Martin D. Dimitrievski, Ljubomir Jovanov, Wilfried Philips:
Spatio-Temporal Consistency for Semi-supervised Learning Using 3D Radar Cubes. 785-790 - Tokihiko Akita, Haruya Kyutoku, Ukyo Tanikawa, Yusuke Akamine:
Error mitigation for untrained data utilizing generative model in vehicle shape estimation with millimeter-wave radar by deep neural network. 791-796 - João Espadinha, Ivan Lebedev, Luka Lukic, Alexandre Bernardino:
LiDAR Data Noise Models and Methodology for Sim-to-Real Domain Generalization and Adaptation in Autonomous Driving Perception. 797-803 - Christian Rudolf Albrecht, Daniel Névir, Arne-Christoph Hildebrandt, Sven Kraus, Uwe Stilla:
Investigation on Misclassification of Pedestrians as Poles by Simulation. 804-809 - Simon T. Isele, Fabian E. Klein, Mathis Brosowsky, J. Marius Zöllner:
Learning Semantics on Radar Point-Clouds. 810-817