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ORCIDIV 2020: Las Vegas, NV, USA
- IEEE Intelligent Vehicles Symposium, IV 2020, Las Vegas, NV, USA, October 19 - November 13, 2020. IEEE 2020, ISBN 978-1-7281-6673-5
- Yang Yu, Chao Lu, Lei Yang, Zirui Li, Fengqing Hu, Jianwei Gong:
Hierarchical Reinforcement Learning Combined with Motion Primitives for Automated Overtaking. 1-6 - Yuan Lin, John McPhee, Nasser L. Azad:
Anti-Jerk On-Ramp Merging Using Deep Reinforcement Learning. 7-14 - Yuzhou Liu, Georg Novotny
, Nikita Smirnov, Walter Morales-Alvarez, Cristina Olaverri-Monreal:
Mobile Delivery Robots: Mixed Reality-Based Simulation Relying on ROS and Unity 3D. 15-20 - Yeojun Kim, Luca Onesto, Samuel Tay, Lujie Yang, Jacopo Guanetti, Sergio M. Savaresi, Francesco Borrelli:
Shared Perception for Connected and Automated Vehicles. 21-26 - José Eugenio Naranjo, Felipe Jiménez, Aitor Gómez, Alfredo Valle, Jorge González, Alberto Cruz:
Integration of C-ITS in Autonomous Driving. 27-32 - Carlos Justo de Frías, Abdulla Al-Kaff, Francisco Miguel Moreno, Ángel Madridano, José María Armingol:
Intelligent Cooperative System for Traffic Monitoring in Smart Cities. 33-38 - Walter Morales-Alvarez, Francisco Miguel Moreno, Oscar Sipele, Nikita Smirnov, Cristina Olaverri-Monreal:
Autonomous Driving: Framework for Pedestrian Intention Estimation in a Real World Scenario. 39-44 - Álvaro Quintanar, Rubén Izquierdo, Ignacio Parra, David Fernández Llorca, Miguel Ángel Sotelo:
The PREVENTION Challenge: How Good Are Humans Predicting Lane Changes? 45-50 - Andrea Fabris, Luca Parolini, Sebastian Schneider, Angelo Cenedese:
Correlation-based approach to online map validation. 51-56 - Felix Drost, Luca Parolini, Sebastian Schneider:
Siamese Networks for Online Map Validation in Autonomous Driving. 57-62 - Christopher Plachetka, Niels Maier, Jenny Fricke, Jan-Aike Termöhlen, Tim Fingscheidt:
Terminology and Analysis of Map Deviations in Urban Domains: Towards Dependability for HD Maps in Automated Vehicles. 63-70 - Annika Meyer, Jonas Walter, Martin Lauer:
Fast Lane-Level Intersection Estimation using Markov Chain Monte Carlo Sampling and B-Spline Refinement. 71-76 - Sagar Ravi Bhavsar, Andrei Vatavu, Timo Rehfeld, Gunther Krehl:
Sensor Fusion-based Online Map Validation for Autonomous Driving. 77-82 - Jenny Yuan, Gary Lu, Philipp Friedrich, Yixin Xu:
Real-time long-range road estimation in unknown environments. 83-88 - Philipp Martinek, Gheorghe Pucea, Qing Rao, Udhayaraj Sivalingam:
Lidar-based Deep Neural Network for Reference Lane Generation. 89-94 - Ishan Maheshwari, Ujwal Padam Tewari, Chetan Arora:
Robust and Adaptive Traffic Signal Control for Unstructured Driving Scenarios in the Developing World. 95-100 - Andreas Keler, Patrick Malcolm, Georgios Grigoropoulos, Niklas Grabbe:
Extraction and analysis of massive skeletal information from video data of crowded urban locations for understanding implicit gestures of road users. 101-106 - J. Christian Gerdes:
The Virtues of Automated Vehicle Safety - Mapping Vehicle Safety Approaches to Their Underlying Ethical Frameworks. 107-113 - Mohammad Hejase, Mathieu Barbier, Ümit Özgüner, Javier Ibañez-Guzmán, Tankut Acarman:
A Validation Methodology for the Minimization of Unknown Unknowns in Autonomous Vehicle Systems. 114-119 - Jintao Lai, Jia Hu, Zheng Chen, Lian Cui, Xiaoguang Yang:
A Generic Simulation Platform for Cooperative Adaptive Cruise Control under Partially Connected and Automated Environment. 120 - Christian Neurohr, Lukas Westhofen, Tabea Henning, Thies de Graaff, Eike Möhlmann, Eckard Böde:
Fundamental Considerations around Scenario-Based Testing for Automated Driving. 121-127 - Andreas Bussler, Lukas Hartjen, Robin Philipp, Fabian Schuldt:
Application of Evolutionary Algorithms and Criticality Metrics for the Verification and Validation of Automated Driving Systems at Urban Intersections. 128-135 - Anne Collin, Artur Bilka, Scott Pendleton, Radboud J. Duintjer Tebbens:
Safety of the Intended Driving Behavior Using Rulebooks. 136-143 - Corentin Sanchez, Philippe Xu, Alexandre Armand, Philippe Bonnifait:
Lane level context and hidden space characterization for autonomous driving. 144-149 - Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze:
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios. 150-155 - S. Krause, Fritz Busch:
Identification of hazards in urban driving situations using accident categorizations. 156-161 - Ishaan Paranjape, Abdul Jawad, Yanwen Xu, Asiiah Song, Jim Whitehead:
A Modular Architecture for Procedural Generation of Towns, Intersections and Scenarios for Testing Autonomous Vehicles. 162-168 - Zheyu Zhang, Chao Lu, Jinghang Li, Youzhi Xu, Junyan Lu, Zirui Li:
Prediction of Pedestrian Risky Level for Intelligent Vehicles. 169-174 - Kecheng Xu, Xiangquan Xiao, Jinghao Miao, Qi Luo:
Data Driven Prediction Architecture for Autonomous Driving and its Application on Apollo Platform. 175-181 - Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen:
Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles. 182-187 - Meng Zhang, Abdeljalil Abbas-Turki, Alexandre Lombard, Abderrafiaa Koukam:
Connected and Autonomous Vehicles cooperate with the pedestrian in industrial sites based on trajectory optimization and vehicle signalization system. 188-194 - Miankuan Zhu, Fujian Liang, Di Yao, Jiangfan Chen, Haobo Li, Lei Han, Yugang Liu, Zutao Zhang:
Heavy Truck Driver's Drowsiness Detection Method Using Wearable EEG Based on Convolution Neural Network. 195-201 - Pratyush Nandi, Anubhav Mishra, Pranav Kedia, Madhav Rao:
Design of a real-time autonomous in-cabin sensory system to detect passenger anomaly. 202-206 - Ajjen Joshi, Survi Kyal, Sandipan Banerjee, Taniya Mishra:
In-the-wild Drowsiness Detection from Facial Expressions. 207-212 - Patrick Schneider, Martin Butz, Christian Heinzemann, Jens Oehlerking, Matthias Woehrle:
Scenario-based threat metric evaluation based on the highd dataset. 213-218 - Pascal Brunner, Andreas Löcken, Florian Denk, Ronald Kates, Werner Huber:
Analysis of experimental data on dynamics and behavior of e-scooter riders and applications to the impact of automated driving functions on urban road safety. 219-225 - Torge Hinrichs, Bettina Buth:
Can AI-based Components be Part of Dependable Systems? 226-231 - Li Ding, Michael Glazer, Meng Wang, Bruce Mehler, Bryan Reimer, Lex Fridman:
MIT-AVT Clustered Driving Scene Dataset: Evaluating Perception Systems in Real-World Naturalistic Driving Scenarios. 232-237 - Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma:
Detecting and Tracking Unsafe Lane Departure Events for Predicting Driver Safety in Challenging Naturalistic Driving Data. 238-245 - Zhenyu Shou, Ziran Wang, Kyungtae Han, Yongkang Liu, Prashant Tiwari, Xuan Di:
Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron. 246-252 - Moad Kissai, Anh-Lam Do, Bruno Monsuez, Xavier Mouton, Adriana Tapus:
Optimal Coordination of ADAS and Chassis Systems with Different Time-Delays. 253-258 - Matthew Brown, J. Christian Gerdes:
Robust Stabilization and Collision Avoidance through Minimizing Open-Loop Velocity Uncertainty. 259-264 - Urs Niesen, Jayakrishnan Unnikrishnan:
Camera-Radar Fusion for 3-D Depth Reconstruction. 265-271 - Michael Weber, Christof Wendenius, J. Marius Zöllner:
Runtime Optimization of a CNN Model for Environment Perception. 272-277 - Tao Yang, Zhixiong Nan, He Zhang, Shitao Chen, Nanning Zheng:
Traffic Agent Trajectory Prediction Using Social Convolution and Attention Mechanism. 278-283 - He Zhang, Zhixiong Nan, Tao Yang, Yifan Liu, Nanning Zheng:
A Driving Behavior Recognition Model with Bi-LSTM and Multi-Scale CNN. 284-289 - Zizhang Wu, Weiwei Sun, Man Wang, Xiaoquan Wang, Lizhu Ding, Fan Wang:
PSDet: Efficient and Universal Parking Slot Detection. 290-297 - Chih-Hong Cheng:
Towards Robust Direct Perception Networks for Automated Driving. 298-304 - Shan Wu, Amnir Hadachi:
Road Surface Recognition Based on DeepSense Neural Network using Accelerometer Data. 305-312 - Trung-Nghia Le, Shintaro Ono, Akihiro Sugimoto, Hiroshi Kawasaki:
Attention R-CNN for Accident Detection. 313-320 - Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri:
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks. 321-327 - Shunsuke Aoki, Takamasa Higuchi, Onur Altintas:
Cooperative Perception with Deep Reinforcement Learning for Connected Vehicles. 328-334 - Markus Hofbauer, Christopher B. Kuhn, Goran Petrovic, Eckehard G. Steinbach:
TELECARLA: An Open Source Extension of the CARLA Simulator for Teleoperated Driving Research Using Off-the-Shelf Components. 335-340 - Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander:
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. 341-347 - Haoran Wang, Xin Li, Jia Hu:
Lane Change Like a Snake: Cooperative Adaptive Cruise Control with Platoon Lane Change Capability. 348 - Shang-Chien Lin, Hsiang Hsu, Yi-Ting Lin, Chung-Wei Lin, Iris Hui-Ru Jiang, Changliu Liu:
A Dynamic Programming Approach to Optimal Lane Merging of Connected and Autonomous Vehicles. 349-356 - Mathias Pechinger, Guido Schröer, Klaus Bogenberger, Carsten Markgraf:
Hardware in the Loop Test Using Infrastructure Based Emergency Trajectories for Connected Automated Driving. 357-362 - Jan Cedric Mertens, D. Erb, Sven Kraus, Frank Diermeyer:
ITS-G5 Antenna Position on Trucks. 363-369 - Robbin van Hoek, Jeroen Ploeg, Henk Nijmeijer:
Gap Closing for Cooperative Driving in Automated Vehicles using B-splines for Trajectory Planning. 370-375 - Gonçalo Collares Pereira, Pedro F. Lima, Bo Wahlberg, Henrik Pettersson, Jonas Mårtensson:
Reference Aware Model Predictive Control for Autonomous Vehicles11This work was partially supported by the Wallenberg Artificial Intelligence, Autonomous Systems, and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation. 376-383 - Julian M. Salt Ducaju, Chen Tang, Masayoshi Tomizuka, Ching-Yao Chan:
Application Specific System Identification for Model-Based Control in Self-Driving Cars. 384-390 - Fan Zhu, Xin Xu, Lin Ma, Dingfeng Guo, Xiao Cui, Qi Kong:
Autonomous Driving Vehicle Control Auto-Calibration System: An Industry-Level, Data-Driven and Learning-based Vehicle Longitudinal Dynamic Calibrating Algorithm. 391-397 - Salvador Dominguez, Gaëtan Garcia, Arnaud Hamon, Vincent Frémont:
Longitudinal Dynamics Model Identification of an Electric Car Based on Real Response Approximation. 398-404 - Huatao Jiang, Lin Chang, Qing Li, Dapeng Chen:
Deep Transfer Learning Enable End-to-End Steering Angles Prediction for Self-driving Car. 405-412 - Milad Pooladsanj, Ketan Savla, Petros A. Ioannou:
Vehicle Following Over a Closed Ring Road under Safety Constraint. 413-418 - Eunhyek Joa, Youngjin Hyun, Kwanwoo Park, Jayu Kim, Kyongsu Yi:
Model Predictive Control based Stability Control of Autonomous Vehicles on Low Friction Road. 419-424 - Yonghwan Jeong, Jinsoo Yoo, Youngmin Yoon, Kyongsu Yi:
Collision Preventive Velocity Planning based on Static Environment Representation for Autonomous Driving in Occluded Region. 425-430 - Prannay Kaul, Daniele De Martini, Matthew Gadd, Paul Newman:
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar. 431-436 - Nils Gählert, Jun-Jun Wan, Nicolas Jourdan, Jan Finkbeiner, Uwe Franke, Joachim Denzler:
Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometrically Constrained Keypoints in Real-Time. 437-444 - Zhuoping Yu, Zhong Gao, Hansheng Chen, Yuyao Huang:
SPFCN: Select and Prune the Fully Convolutional Networks for Real-time Parking Slot Detection. 445-450 - Emir Hrustic, Zhujun Xu, Damien Vivet:
Deep Learning Based Traffic Signs Boundary Estimation. 451-456 - Kailun Yang, Xinxin Hu, Hao Chen, Kaite Xiang, Kaiwei Wang, Rainer Stiefelhagen:
DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing. 457-464 - Daniela Horn, Sebastian Houben:
Fully Automated Traffic Sign Substitution in Real-World Images for Large-Scale Data Augmentation. 465-471 - Emilio Oldenziel, Lars Ohnemus, Sascha Saralajew:
Provident Detection of Vehicles at Night. 472-479 - Gilsoo Lee, Jianlin Guo, Kyeong Jin Kim, Philip V. Orlik, Heejin Ahn, Stefano Di Cairano, Walid Saad:
Edge Computing for Interconnected Intersections in Internet of Vehicles. 480-486 - Daniele Bellan, Charles Wartnaby:
Decentralized Cooperative Collision Avoidance for Automated Vehicles: a Real-World Implementation. 487-494 - Lucas Eiermann, Oliver Sawade, Sebastian Bunk, Gabi Breuel, Ilja Radusch:
Cooperative automated lane merge with role-based negotiation. 495-501 - Matthias Nichting, Daniel Heß, Julian Schindler, Tobias Hesse, Frank Köster:
Space Time Reservation Procedure (STRP) for V2X-Based Maneuver Coordination of Cooperative Automated Vehicles in Diverse Conflict Scenarios. 502-509 - Bernhard Häfner, Josef Jiru, Karsten Roscher, Jörg Ott, Georg A. Schmitt, Yagmur Sevilmis:
CVIP: A Protocol for Complex Interactions Among Connected Vehicles. 510-515 - Edmond Irani Liu, Christian Pek, Matthias Althoff:
Provably-Safe Cooperative Driving via Invariably Safe Sets. 516-523 - Shenghao Jiang:
Optimal Control of Urban Intersection Scheduling for Connected Automated Vehicles. 524-531 - Johannes Ultsch, Jonas Mirwald, Jonathan Brembeck, Ricardo de Castro:
Reinforcement Learning-based Path Following Control for a Vehicle with Variable Delay in the Drivetrain. 532-539 - Zhouqiao Zhao, Guoyuan Wu, Ziran Wang, Matthew J. Barth:
Optimal Control-Based Eco-Ramp Merging System for Connected and Automated Vehicles. 540-546 - Boyuan Li, Javad Ahmadi, Chenhui Lin, Efstathios Siampis, Stefano Longo, Efstathios Velenis:
Integrated Path-tracking and Control Allocation Controller for Autonomous Electric Vehicle under Limit Handling Condition. 547-552 - Hao Yang, Ken Oguchi:
Anomaly Management: Reducing the Impact of Anomalous Drivers with Connected Vehicles. 553-559 - Tushar Goel, Jonathan Y. Goh, J. Christian Gerdes:
Opening New Dimensions: Vehicle Motion Planning and Control using Brakes while Drifting. 560-565 - Maierdanjiang Maihemuti, Shengbo Eben Li, Jie Li, Jiaxin Gao, Wenyu Li, Hao Sun, Bo Cheng:
Accelerated Convergence of Time-Splitting Algorithm for MPC using Cross-Node Consensus. 566-571 - Philipp Maximilian Sieberg, Christian Hürten, Dieter Schramm:
Representation of an Integrated Non-Linear Model-Based Predictive Vehicle Dynamics Control System by a Co-Active Neuro-Fuzzy Inference System. 572-577 - Jonas Kerber, Sebastian Wagner, Korbinian Groh, Dominik Notz, Thomas Kühbeck, Daniel Watzenig, Alois C. Knoll:
Clustering of the Scenario Space for the Assessment of Automated Driving. 578-583 - Xuanzuo Liu, Anil Kunnappillil Madhusudhanan, David Cebon:
Experimental Evaluation of Minimum Swept-Path Control for Autonomous Reversing of Articulated Vehicles. 584-589 - Francesco Montanari, Reinhard German, Anatoli Djanatliev:
Pattern Recognition for Driving Scenario Detection in Real Driving Data. 590-597 - Zejiang Wang, Junmin Wang:
Personalized Ground Vehicle Collision Avoidance System: From a Computational Resource Re-allocation Perspective. 598-603 - Jasmina Zubaca, Michael Stolz, Daniel Watzenig:
Smooth Reference Line Generation for a Race Track with Gates based on Defined Borders. 604-609 - Kuan-Fu Lin, Christoph Stöckle, Stephan Herrmann, Tobias Dirndorfer, Wolfgang Utschick:
Robust Function and Sensor Design Considering Sensor Measurement Errors Applied to Automatic Emergency Steering. 610-616 - Michael L. Leyrer, Christoph Stöckle, Stephan Herrmann, Tobias Dirndorfer, Wolfgang Utschick:
An Efficient Approach to Simulation-Based Robust Function and Sensor Design Applied to an Automatic Emergency Braking System. 617-622 - Mohit Kumar, Arne-Christoph Hildebrandt, Peter Strauss, Sven Kraus, Christoph Stiller, Andreas Zimmermann:
An Optimal Lateral Trajectory Stabilization of Vehicle using Differential Dynamic Programming. 623-630 - Chikao Tsuchiya, Shoichi Takei, Yuichi Takeda, Abdelaziz Khiat:
TTF: Time-To-Failure Estimation for ScanMatching-based Localization. 631-636 - Tanaka Kanji:
Self-Supervised Map-Segmentation by Mining Minimal-Map-Segments. 637-644 - Hengwang Zhao, Ming Yang, Yuesheng He, Chunxiang Wang:
Time-of-Flight Camera Based Indoor Parking Localization Leveraging Manhattan World Regulation. 645-650 - Gokul B. Nair, Swapnil Daga, Rahul Sajnani, Anirudha Ramesh, Junaid Ahmed Ansari, Krishna Murthy Jatavallabhula, K. Madhava Krishna:
Multi-object Monocular SLAM for Dynamic Environments. 651-657 - Aoki Takanose, Kanamu Takikawa, Takuya Arakawa, Junichi Meguro:
Improvement of RTK-GNSS with Low-Cost Sensors Based on Accurate Vehicle Motion Estimation Using GNSS Doppler. 658-665 - Xingyu Chen, Jianru Xue, Jianwu Fang, Yuxin Pan, Nanning Zheng:
Using Detection, Tracking and Prediction in Visual SLAM to Achieve Real-time Semantic Mapping of Dynamic Scenarios. 666-671 - Tuopu Wen, Zhongyang Xiao, Benny Wijaya, Kun Jiang, Mengmeng Yang, Diange Yang:
High Precision Vehicle Localization based on Tightly-coupled Visual Odometry and Vector HD Map. 672-679 - Jan-Hendrik Pauls, Tobias Strauss, Carsten Hasberg, Martin Lauer, Christoph Stiller:
HD Map Verification Without Accurate Localization Prior Using Spatio-Semantic 1D Signals. 680-686 - Yancheng Pan, Biao Gao, Jilin Mei, Sibo Geng, Chengkun Li, Huijing Zhao:
SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances. 687-693 - Thomas Ponn, Thomas Lanz, Frank Diermeyer:
Automatic Generation of Road Geometries to Create Challenging Scenarios for Automated Vehicles Based on the Sensor Setup. 694-700 - Martin Böhme, Marco Stang, Ferdin Muetsch, Eric Sax:
TalkyCars: A Distributed Software Platform for Cooperative Perception. 701-707 - Robert Krajewski, Michael Hoss, Adrian Meister, Fabian Thomsen, Julian Bock, Lutz Eckstein:
Using Drones as Reference Sensors for Neural-Networks-Based Modeling of Automotive Perception Errors**The research leading to these results is funded by the Federal Ministry for Economic Affairs and Energy within the project "VVM - Verification and Validation Methods for Automated Vehicles Level 4 and 5". The authors would like to thank the consortium for the successful cooperation. 708-715 - Yuto Imanishi, Yoichi Iihoshi, Yuki Okuda, Takashi Okada:
Model-Less Location-Based Vehicle Behavior Prediction for Intelligent Vehicle. 716-722 - Younkwan Lee, Jihyo Jeon, Jongmin Yu, Moongu Jeon:
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles. 723-730 - Toshiki Seo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Video Object Detection and Tracking based on Angle Consistency between Motion and Flow. 731-736 - Anshul Paigwar, Eduard Baranov, Alessandro Renzaglia, Christian Laugier, Axel Legay:
Probabilistic Collision Risk Estimation for Autonomous Driving: Validation via Statistical Model Checking. 737-743 - Mohit Kumar, Arne-Christoph Hildebrandt, Peter Strauss, Sven Kraus, Christoph Stiller, Andreas Zimmermann:
Lateral Trajectory Stabilization of an Articulated Truck during Reverse Driving Maneuvers. 744-751 - Sebastian Maierhofer, Anna-Katharina Rettinger, Eva Charlotte Mayer, Matthias Althoff:
Formalization of Interstate Traffic Rules in Temporal Logic. 752-759 - Jean-Michael Georg, Johannes Feiler, Simon Hoffmann, Frank Diermeyer:
Sensor and Actuator Latency during Teleoperation of Automated Vehicles. 760-766 - Piotr Franciszek Orzechowski, Christoph Burger, Martin Lauer:
Decision-Making for Automated Vehicles Using a Hierarchical Behavior-Based Arbitration Scheme. 767-774 - Behdad Chalaki, Logan E. Beaver, Andreas A. Malikopoulos:
Experimental Validation of a Real-Time Optimal Controller for Coordination of CAVs in a Multi-Lane Roundabout. 775-780 - Eduardo Ramírez-Llanos, Xin Yu, Matthew D. Berkemeier:
Trailer Hitch Assist: Lightweight Solutions for Automatically Reversing to a Trailer. 781-788 - Bahareh Shakibajahromi, Amirhossein Jabalameli, Anirudh S. Krishnan, Steven Kanzler, Saeed Shayestehmanesh:
Instantaneous Velocity Estimation for 360° Perception with Multiple High-Quality Radars: An Experimental Validation Study. 789-794