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IV 2021: Nagoya, Japan - Workshops
- IEEE Intelligent Vehicles Symposium Workshops, IV 2021 - Workshops, Nagoya, Japan, July 11-17, 2021. IEEE 2021, ISBN 978-1-6654-7921-9
- Steffie Maria Stephen, Arunita Jaekel:
Blockchain Based Vehicle Authentication Scheme for Vehicular Ad-hoc Networks. 1-6 - Thabet Kacem, Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Duminda Wijesekera, Paulo Costa:
ADS-B Attack Classification using Machine Learning Techniques. 7-12 - Ranwa Al Mallah, Godwin Badu-Marfo, Bilal Farooq:
Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems. 13-18 - Bo Yang, Koichiro Inoue, Satoshi Kitazaki, Kimihiko Nakano:
Influences on Drivers' Understandings of Systems by Presenting Image Recognition Results. 19-24 - Chao Wang
, Thomas H. Weisswange, Matti Krüger, Christiane B. Wiebel-Herboth:
Human-Vehicle Cooperation on Prediction-Level: Enhancing Automated Driving with Human Foresight. 25-30 - Luca Varotto, Angelo Cenedese:
Online and Adaptive Parking Availability Mapping: An Uncertainty-Aware Active Sensing Approach for Connected Vehicles. 31-36 - Anthony Welte, Philippe Xu, Philippe Bonnifait, Clément Zinoune:
HD Map Errors Detection using Smoothing and Multiple Drives. 37-42 - Andrea Fabris, Luca Parolini, Sebastian Schneider, Angelo Cenedese:
Use of probabilistic graphical methods for online map validation. 43-48 - Jenny Fricke, Christopher Plachetka, Bernd Rech:
Towards Knowledge-based Road Modeling for Automated Vehicles: Analysis and Concept for Incorporating Prior Knowledge. 49-56 - Walter Morales-Alvarez, Mohamed Marouf, Hadj Hamma Tadjine, Cristina Olaverri-Monreal:
Real-World Evaluation of the Impact of Automated Driving System Technology on Driver Gaze Behavior, Reaction Time and Trust. 57-64 - Paul Czerwionka, Fabian Pucks, Hans Harte, Roman Blaschek, Robert Treiber, Ahmed Hussein:
Precise self-localization for last mile delivery automated driving in unstructured environments. 65-69 - Hannes Stoll, Daniel Grimm, Marc Schindewolf
Dynamic Reconfiguration of Automotive Architectures Using a Novel Plug-and-Play Approach. 70-75 - Surbhi Gupta, Gaurav Singal
Precise Control for Deep Driving using Dual Critic based DRL Approaches. 76-82 - Diogo Wachtel, Sabine Schröder, Fabio Reway, Werner Huber, Martin Vossiek:
Validation of a Radar Sensor Model under non-ideal Conditions for Testing Automated Driving Systems. 83-89 - Jasmin Breitenstein
Detection of Collective Anomalies in Images for Automated Driving Using an Earth Mover's Deviation (EMDEV) Measure. 90-97 - Haoran Wang
Trajectory planner for platoon lane change*. 98-101 - Qianjing Sun, Yong Wang, Lingqiu Zeng, Qingwen Han, Qinglong Xie, Lei Ye, Fukun Xie:
Research on optimization and evaluation method of the car following model based on SUMO application test scenario. 102-107 - Yiming Zhang, Jia Hu
An adaptive cooperative adaptive cruise control against varying vehicle loads*. 108-113 - Takamasa Koshizen, Fumiaki Sato, Ryoka Oishi, Kazuhiko Yamakawa:
Predicting motorcycle riding behavior using vehicle density variation. 114-121 - Dániel Fényes, Tamás Hegedüs, Balázs Németh
Observer design with performance guarantees for vehicle control purposes via the integration of learning-based and LPV approaches. 122-127 - Qiang Ge, Qi Sun, Shengbo Eben Li, Sifa Zheng
Numerically Stable Dynamic Bicycle Model for Discrete-time Control. 128-134 - Philip Almestrand Linné, Jeanette Andersson:
Regulating Road Vehicle Teleoperation: Back to the Near Future. 135-140 - Smit Saparia
Active Safety System for Semi-Autonomous Teleoperated Vehicles. 141-147 - Andreas Schimpe, Simon Hoffmann, Frank Diermeyer
Adaptive Video Configuration and Bitrate Allocation for Teleoperated Vehicles. 148-153 - Tong Su
Pedestrian Trajectory Prediction via Spatial Interaction Transformer Network. 154-159 - Damian Boborzi, Florian Kleinicke, Jens S. Buchner, Lars Mikelsons:
Learning to Drive from Observations while Staying Safe. 160-167 - Basma Khelfa, Antoine Tordeux:
Understanding and Predicting Overtaking and Fold-Down Lane-Changing Maneuvers on European Highways Using Naturalistic Road User Data*. 168-173 - Alexander Tenbrock, Alexander König, Thomas Keutgens, Hendrik Weber:
The ConScenD Dataset: Concrete Scenarios from the highD Dataset According to ALKS Regulation UNECE R157 in OpenX. 174-181 - Julia Rosenzweig, Eduardo Brito, Hans-Ulrich Kobialka, Maram Akila, Nico M. Schmidt, Peter Schlicht, Jan David Schneider, Fabian Hüger, Matthias Rottmann, Sebastian Houben, Tim Wirtz:
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis. 182-189 - Corentin Sanchez, Philippe Xu, Alexandre Armand, Philippe Bonnifait:
Spatial Sampling and Integrity in Lane Grid Maps. 190-196 - Paolo Arcaini
Parameter-Based Testing and Debugging of Autonomous Driving Systems. 197-202 - Erwin de Gelder, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter
Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles. 203-208 - Lukas Elster, Clemens Linnhoff, Philipp Rosenberger, Simon Schmidt, Rainer Stark
Fundamental Design Criteria for Logical Scenarios in Simulation-based Safety Validation of Automated Driving Using Sensor Model Knowledge. 209-214 - Prabhash Kumar Jha, Doychin Tsanev, Luka Lukic:
Unsupervised Joint Multi-Task Learning of Vision Geometry Tasks. 215-221 - Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman:
The Oxford Road Boundaries Dataset. 222-227 - Manoj Rohit Vemparala, Anmol Singh, Ahmed Mzid, Nael Fasfous, Alexander Frickenstein, Florian Mirus, Hans-Jörg Vögel, Naveen Shankar Nagaraja, Walter Stechele:
Pruning CNNs for LiDAR-based Perception in Resource Constrained Environments. 228-235 - Gjorgji Nikolovski, Michael Reke, Ingo Elsen, Stefan Schiffer:
Machine learning based 3D object detection for navigation in unstructured environments. 236-242 - Ramin Nabati, Landon Harris
CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking. 243-248 - Hariprasath Govindarajan
Self-Supervised Representation Learning for Content Based Image Retrieval of Complex Scenes. 249-256 - Shang Gao, Spencer Paulissen, Mark Coletti, Robert M. Patton:
Quantitative Evaluation of Autonomous Driving in CARLA. 257-263 - Henrik Bey, Moritz Sackmann, Alexander Lange, Jörn Thielecke:
POMDP Planning at Roundabouts. 264-271 - Jan Schneegans, Jan Eilbrecht, Stefan Zernetsch, Maarten Bieshaar, Konrad Doll, Olaf Stursberg, Bernhard Sick:
Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists. 272-279 - Miankuan Zhu, Haobo Li, Jiangfan Chen, Mitsuhiro Kamezaki, Zutao Zhang
EEG-based System Using Deep Learning and Attention Mechanism for Driver Drowsiness Detection. 280-286 - Hongkuan Zhang, Koichi Takeda, Ryohei Sasano, Yusuke Adachi, Kento Ohtani:
Driving Behavior Aware Caption Generation for Egocentric Driving Videos Using In-Vehicle Sensors*. 287-292 - Kolja Thormann
Kalman Filter Based Extended Object Tracking with a Gaussian Mixture Spatial Distribution Model. 293-298 - William C. Tamayo, Nacer Eddine Chelbi, Denis Gingras, Frédéric Faulconnier:
Improving Object Distance Estimation in Automated Driving Systems Using Camera Images, LiDAR Point Clouds and Hierarchical Clustering. 299-305 - Ali Boyali, Simon Thompson, David Robert Wong:
Identification of Vehicle Dynamics Parameters Using Simulation-based Inference. 306-312 - Hatem Darweesh, Eijiro Takeuchi, Kazuya Takeda:
OpenPlanner 2.0: The Portable Open Source Planner for Autonomous Driving Applications. 313-318 - Aoki Takanose, Yuki Kitsukawa, Junichi Meguro, Eijiro Takeuchi, Alexander Carballo
Eagleye: A Lane-Level Localization Using Low-Cost GNSS/IMU. 319-326 - Alexander Carballo
Characterization of Multiple 3D LiDARs for Localization and Mapping Performance using the NDT Algorithm. 327-334 - Levente Alekszejenkó, Tadeusz P. Dobrowiecki:
Auction Based Parking Lot Assignment and Empty Cruising Limitation of Privately Owned Autonomous Vehicles in a Simple City Model. 335-341 - Jiahui Zhang, Zhiqiang Jian, Jiawei Fu, Zhixiong Nan, Jingmin Xin, Nanning Zheng:
Trajectory Planning with Comfort and Safety in Dynamic Traffic Scenarios for Autonomous Driving. 342-349 - Larissa T. Triess
A Survey on Deep Domain Adaptation for LiDAR Perception. 350-357 - Anil Öztürk, Mustafa Burak Gunel, Resul Dagdanov
Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions. 358-363 - Joshua Niemeijer, Jörg P. Schäfer:
Combining Semantic Self-Supervision and Self-Training for Domain Adaptation in Semantic Segmentation. 364-371 - Iljoo Baek, Wei Chen, Asish Chakrapani Gumparthi Venkat, Ragunathan Raj Rajkumar:
Practical Object Detection Using Thermal Infrared Image Sensors. 372-379
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