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ORCIDIntelligent Vehicles Symposium 2019: Paris, France
- 2019 IEEE Intelligent Vehicles Symposium, IV 2019, Paris, France, June 9-12, 2019. IEEE 2019, ISBN 978-1-7281-0560-4
- Jianmei Lei, Siru Chen, Lingqiu Zeng, Fangli Liu, Konglin Zhu, Jie Liu:
In-Chamber V2X Oriented Test Scheme for Connected Vehicles. 1-6 - Yu Bail, Yu Zhang, Meng Wang
, Jia Hu:
Optimal control based CACC: Problem formulation, solution, and stability analysis. 7 - Anastasia Bolovinou, Ugur-Ilker Atmaca, Al Tariq Sheik, Obaid Ur Rehman, Gerhard Wallraf, Angelos Amditis:
TARA+: Controllability-aware Threat Analysis and Risk Assessment for L3 Automated Driving Systems. 8-13 - Joel Pereira, Cristiano Premebida, Alireza Asvadi, F. Cannata, Luis Garrote, Urbano José C. Nunes:
Test and Evaluation of Connected and Autonomous Vehicles in Real-world Scenarios. 14-19 - Alejandro Correa, Robert Alms, Javier Gozálvez, Miguel Sepulcre, Michele Rondinone, Robbin Blokpoel, Leonhard Lücken, Gokulnath Thandavarayan:
Infrastructure Support for Cooperative Maneuvers in Connected and Automated Driving. 20-25 - Dajiang Suo, Sanjay E. Sarma:
A Test-Driven Approach for Security Designs of Automated Vehicles. 26-32 - Christian Haase-Schütz, Heinz Hertlein, Werner Wiesbeck:
Estimating Labeling Quality with Deep Object Detectors. 33-38 - Ayhan Mehmed, Wilfried Steiner, Moritz Antlanger, Sasikumar Punnekkat:
System Architecture and Application-Specific Verification Method for Fault-Tolerant Automated Driving Systems. 39-44 - Jan Erik Stellet, Tino Brade, Alexander Poddey, Stefan Jesenski, Wolfgang Branz:
Formalisation and algorithmic approach to the automated driving validation problem. 45-51 - Daniel Åsljung, Mathias Westlund, Jonas Fredriksson:
A Probabilistic Framework for Collision Probability Estimation and an Analysis of the Discretization Precision. 52-57 - Nikos Aréchiga:
Specifying Safety of Autonomous Vehicles in Signal Temporal Logic. 58-63 - Roman Bresson, Jacques Saraydaryan, Julie Dugdale, Anne Spalanzani:
Socially Compliant Navigation in dense crowds. 64-69 - Christopher G. Burns, Luis Oliveira, Peter Thomas, Sumeet Iyer, Stewart A. Birrell:
Pedestrian Decision-Making Responses to External Human-Machine Interface Designs for Autonomous Vehicles. 70-75 - Ignacio J. Alvarez, Jennifer Healey, Erica Lewis:
The SKYNIVI Experience: Evoking Startle and Frustration in Dyads and Single Drivers. 76-81 - Werner Damm, Martin Fränzle, Andreas Lüdtke, Jochem W. Rieger, Alexander Trende, Anirudh Unni:
Integrating Neurophysiological Sensors and Driver Models for Safe and Performant Automated Vehicle Control in Mixed Traffic. 82-89 - Miguel Ángel de Miguel, Daniel Fuchshuber, Ahmed Hussein, Cristina Olaverri-Monreal:
Perceived Pedestrian Safety: Public Interaction with Driverless Vehicles. 90-95 - Arun Ulahannan, Stewart A. Birrell, Simon Thomson, Lee Skyrpchuk, Alex Mouzakitis, Paul A. Jennings:
The interface challenge for semi-automated vehicles: how driver behavior and trust influence information requirements over time. 96-101 - Zhanhong Yan, Kaiming Yang, Zheng Wang, Bo Yang, Tsutomu Kaizuka, Kimihiko Nakano:
Time to lane change and completion prediction based on Gated Recurrent Unit Network. 102-107 - Ruddy Théodosc, Dieumet Denis, Christophe Blanc, Thierry Chateau, Paul Checchin:
Vehicle Detection based on Deep Learning Heatmap Estimation. 108-113 - Alexander Masalov, Pavel Matrenin, Jeffrey M. Ota, Florian Wirth, Christoph Stiller, Heath Corbet, Eric Lee:
Specialized Cyclist Detection Dataset: Challenging Real-World Computer Vision Dataset for Cyclist Detection Using a Monocular RGB Camera. 114-118 - Zhenzhen Weng, Paroma Varma, Alexander Masalov, Jeffrey M. Ota, Christopher Ré:
Utilizing Weak Supervision to Infer Complex Objects and Situations in Autonomous Driving Data. 119-125 - Georg Volk, Alexander von Bernuth, Oliver Bringmann:
Environment-aware Development of Robust Vision-based Cooperative Perception Systems. 126-133 - Gokulnath Thandavarayan, Miguel Sepulcre, Javier Gozálvez:
Analysis of Message Generation Rules for Collective Perception in Connected and Automated Driving. 134-139 - Maximilian Naumann, Hendrik Konigshof, Martin Lauer, Christoph Stiller:
Safe but not Overcautious Motion Planning under Occlusions and Limited Sensor Range. 140-145 - Jan Eilbrecht, Olaf Stursberg:
Reducing Computation Times for Planning of Reference Trajectories in Cooperative Autonomous Driving. 146-152 - Alexander David Hellwig, Stefan Kriebel, Evgeny Kusmenko, Bernhard Rumpe:
Component-based Integration of Interconnected Vehicle Architectures. 153-158 - Dongfang Liu, Yaqin Wang, Kar Ee Ho, Zhiwei Chu, Eric Matson:
Virtual World Bridges the Real Challenge: Automated Data Generation for Autonomous Driving. 159-164 - Daniel Alvarez-Coello, Benjamin Klotz, Daniel Wilms, Sofien Fejji, Jorge Marx Gómez, Raphaël Troncy:
Modeling dangerous driving events based on in-vehicle data using Random Forest and Recurrent Neural Network. 165-170 - Hui Xiong, Fabian Flohr, Sijia Wang, Baofeng Wang, Jianqiang Wang, Keqiang Li:
Recurrent Neural Network Architectures for Vulnerable Road User Trajectory Prediction. 171-178 - Stefan Kriebel, Evgeny Kusmenko, Bernhard Rumpe, Igor Shumeiko:
Learning Error Patterns from Diagnosis Trouble Codes. 179-184 - Karen Leung, Nikos Aréchiga, Marco Pavone:
Backpropagation for Parametric STL. 185-192 - Zirui Li, Cheng Gong, Chao Lu, Jianwei Gong, Junyan Lu, Youzhi Xu, Fengqing Hu:
Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario. 193-200 - Maximilian Graf, Oliver Speidel, Klaus Dietmayer:
A Model Based Motion Planning Framework for Automated Vehicles in Structured Environments. 201-206 - Liting Sun, Wei Zhan, Ching-Yao Chan, Masayoshi Tomizuka:
Behavior Planning of Autonomous Cars with Social Perception. 207-213 - Ferit Üzer, Amaury Breheret, Émilie Wirbel, Rachid Benmokhtar:
A Lidar-based Dual-level Virtual Lanes Construction and Anticipation of Specific Road Infrastructure Events for Autonomous Driving. 214-219 - Jing Fan, Ye Li, Yuanlin Liu, Yu Zhang, Changxi Ma:
Analysis of taxi driving behavior and driving risk based on trajectory data. 220-225 - Tomasz Nowak, Michal R. Nowicki, Krzysztof Cwian, Piotr Skrzypczynski:
How to Improve Object Detection in a Driver Assistance System Applying Explainable Deep Learning. 226-231 - Tomasz Gawron, Mateusz Mydlarz, Maciej Marcin Michalek:
Algorithmization of constrained monotonic maneuvers for an advanced driver assistant system in the intelligent urban buses. 232-238 - Nadhir Mansour Ben Lakhal, Lounis Adouane, Othman Nasri, Jaleleddine Ben Hadj Slama:
Interval-based/Data-driven Risk Management for Intelligent Vehicles: Application to an Adaptive Cruise Control System. 239-244 - Dimia Iberraken, Lounis Adouanc, Dieumet Denis:
Multi-Controller Architecture for Reliable Autonomous Vehicle Navigation: Combination of Model-Driven and Data-Driven Formalization. 245-251 - Mathieu Barbier, Alessandro Renzaglia, Jean Quilbeuf, Lukas Rummelhard, Anshul Paigwar, Christian Laugier, Axel Legay, Javier Ibañez-Guzmán, Olivier Simonin:
Validation of Perception and Decision-Making Systems for Autonomous Driving via Statistical Model Checking. 252-259 - Sebastian Hörl, Milos Balac, Kay W. Axhausen:
Dynamic demand estimation for an AMoD system in Paris. 260-266 - Ahmetcan Erdogan, Burak Ugranli, Erkan Adali, Ali Sentas, Eren Mungan, Emre Kaplan, Andrea Leitner:
Real- World Maneuver Extraction for Autonomous Vehicle Validation: A Comparative Study. 267-272 - Alyssa Pierson, Wilko Schwarting, Sertac Karaman, Daniela Rus:
Learning Risk Level Set Parameters from Data Sets for Safer Driving. 273-280 - Wenwen Si, Tianhao Wei, Changliu Liu:
AGen: Adaptable Generative Prediction Networks for Autonomous Driving. 281-286 - Rodrigo Queiroz, Thorsten Berger, Krzysztof Czarnecki:
GeoScenario: An Open DSL for Autonomous Driving Scenario Representation. 287-294 - Quei-An Chen, Akihiro Tsukada:
Detection-by- Tracking Boosted Online 3D Multi-Object Tracking. 295-301 - Tom Bruls, Horia Porav, Lars Kunze, Paul Newman:
The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping. 302-309 - Lucas P. N. Matias, Marc Sons, Jefferson R. Souza, Denis F. Wolf, Christoph Stiller:
VeIGAN: Vectorial Inpainting Generative Adversarial Network for Depth Maps Object Removal. 310-316 - Youngseok Kim, Dongsuk Kum:
Deep Learning based Vehicle Position and Orientation Estimation via Inverse Perspective Mapping Image. 317-323 - Rohan Saxena, René Schuster, Oliver Wasenmüller, Didier Stricker:
PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation. 324-331 - Mengdan Feng, Marcelo H. Ang, Gim Hee Lee:
Learning Low-Rank Images for Robust All-Day Feature Matching. 404-409 - Martin Alsfasser, Mirko Meuter, Anton Kummert:
Combinatorial use of optical tracker, Gaussian Mixture PHD and group tracking for vehicle light tracking. 410-416 - Michael Weber, Michael Fürst, J. Marius Zöllner:
Direct 3D Detection of Vehicles in Monocular Images with a CNN based 3D Decoder. 417-423 - Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation. 424-431 - Thomio Watanabe, Denis F. Wolf:
Instance Segmentation as Image Segmentation Annotation. 432-437 - Jan-Aike Bolte, Andreas Bär, Daniel Lipinski, Tim Fingscheidt:
Towards Corner Case Detection for Autonomous Driving. 438-445 - Kailun Yang, Xinxin Hu, Luis Miguel Bergasa, Eduardo Romera, Xiao Huang, Dongming Sun, Kaiwei Wang:
Can we PASS beyond the Field of View? Panoramic Annular Semantic Segmentation for Real-World Surrounding Perception. 446-453 - Koji Takeda, Kanji Tanaka:
Deep Intersection Classification Using First and Third Person Views. 454-459 - Zhiwei Cheng, Zhenyang Wang, Hongcheng Huang, Yanbo Liu:
Dense-ACSSD for End-to-end Traffic Scenes Recognition. 460-465 - Sebastian Bullinger, Christoph Bodensteiner, Michael Arens, Rainer Stiefelhagen:
3D Object Trajectory Reconstruction using Instance-Aware Multibody Structure from Motion and Stereo Sequence Constraints. 466-473 - Rui Fan, Mohammud Junaid Bocus, Yilong Zhu, Jianhao Jiao, Li Wang, Fulong Ma, Shanshan Cheng, Ming Liu:
Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding. 474-479 - Chao Zhu, Yaochen Li, Yuehu Liu, Zhiqiang Tian, Zhichao Cui, Chi Zhang, Xinyu Zhu:
Road Scene Layout Reconstruction based on CNN and its Application in Traffic Simulation. 480-485 - Dequan Zeng, Zhuoping Yu, Lu Xiong, Junqiao Zhao, Peizhi Zhang, Zhiqiang Li, Zhiqiang Fu, Jie Yao, Yi Zhou:
A Novel Robust Lane Change Trajectory Planning Method for Autonomous Vehicle. 486-493 - Ankit Dhall, Dengxin Dai, Luc Van Gool:
Real-time 3D Traffic Cone Detection for Autonomous Driving. 494-501 - Stefan Jesenski, Jan Erik Stellet, Florian A. Schiegg, J. Marius Zöllner:
Generation of Scenes in Intersections for the Validation of Highly Automated Driving Functions. 502-509 - Ala Mhalla, Thierry Chateau:
Improving Multi Object Tracking-By-Detection Model Using a Temporal Interlaced Encoding and a Specialized Deep Detector. 510-516 - Jiawei Huang, Mahmut Demir, Thang Lian, Kikuo Fujimura:
An Online Multi-lidar Dynamic Occupancy Mapping Method. 517-522 - Haozhou Wei, Zhixiong Ma, Xichan Zhu, Yeting Lin:
Characteristics Analysis and Classification of Lane-changing Behavior after Following Process based on China-FOT. 523-528 - Hind Laghmara, Mohamed Boudali, Thomas Laurain, Jonathan Ledy, Rodolfo Orjuela, Jean-Philippe Lauffenburger, Michel Basset:
Obstacle Avoidance, Path Planning and Control for Autonomous Vehicles. 529-534 - Ádám Domina, Viktor Tihanyi:
Modelling the dynamic behavior of the steering system for low speed autonomous path tracking. 535-540 - Karsten Behrendt, Olivier Mangin, Namrata Bhakta, Stéphanie Lefèvre:
Is This Car Going to Move? Parked Car Classification for Automated Vehicles. 541-548 - Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki:
Learning a Lattice Planner Control Set for Autonomous Vehicles. 549-556 - Yeping Hu, Wei Zhan, Liting Sun, Masayoshi Tomizuka:
Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model. 557-563 - Guo Cheng, Jiang Yu Zheng, Mehmet Kilicarslan:
Semantic Segmentation of Road Profiles for Efficient Sensing in Autonomous Driving. 564-569 - Julian Schwehr, Moritz Knaust, Volker Willert:
How to Evaluate Object-of-Fixation Detection. 570-577 - Christoph Segler, Stefan Kugele, Philipp Obergfell, Mohd Hafeez Osman, Sina Shafaei, Eric Sax, Alois C. Knoll:
Anomaly Detection for Advanced Driver Assistance Systems Using Online Feature Selection. 578-585 - Iljoo Baek, Akshit Kanda, Tzu Chieh Tai, Anchan Saxena, Ragunathan Rajkumar:
Thin-Plate Spline-based Adaptive 3D Surround View. 586-593 - Anh Tuan Tran, Masato Kawaguchi, Hiroyuki Okuda, Tatsuya Suzuki:
A model predictive control-based lane merging strategy for autonomous vehicles. 594-599 - Any Gupta, Ayesha Choudhary:
A Framework for Traffic Light Detection and Recognition using Deep Learning and Grassmann Manifolds. 600-605 - Franz Aubeck, Till Peter, Georg Birmes, Rene Savelsberg, Stefan Pischinger:
Refueling and Battery Charging Driver Assistance System for Online Operation Optimization of Connected Vehicles. 606-613 - Nico Epple, Simone Dari, Ludwig Drees, Valentin Protschky, Andreas Riener:
Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries. 614-619 - Filipe Vital, Petros A. Ioannou:
Long-Haul Truck Scheduling with Driving Hours and Parking Availability Constraints. 620-625 - N. Kemal Ure, Muharrem Ugur Yavas, Ali Alizadeh, Can Kurtulus:
Enhancing Situational Awareness and Performance of Adaptive Cruise Control through Model Predictive Control and Deep Reinforcement Learning. 626-631 - Philipp Rosenberger, Martin Holder, Sebastian Hueh, Hermann Winner, Tobias Fleck, Marc René Zofka, J. Marius Zöllner, Thomas D'hondt, Benjamin Wassermann:
Benchmarking and Functional Decomposition of Automotive Lidar Sensor Models. 632-639 - Chengwei Li, Yafei Wang, Zhisong Zhou, Jingkai Wu, Wenqiang Jin, Chengliang Yin:
Lateral State Estimation of Preceding Target Vehicle Based on Multiple Neural Network Ensemble. 640-646 - Nicolò De Rita, Alessandro Aimar, Tobi Delbrück:
CNN-based Object Detection on Low Precision Hardware: Racing Car Case Study. 647-652 - Stefan Schubert, Peer Neubert, Johannes Pöschmann, Peter Protzel:
Circular Convolutional Neural Networks for Panoramic Images and Laser Data. 653-660 - Maximilian Pöpperl, Raghavendra Gulagundi, Senthil Kumar Yogamani, Stefan Milz:
Capsule Neural Network based Height Classification using Low-Cost Automotive Ultrasonic Sensors. 661-666 - Di Feng, Xiao Wei, Lars Rosenbaum, Atsuto Maki, Klaus Dietmayer:
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector. 667-674 - Nils Gählert, Jun-Jun Wan, Michael Weber, J. Marius Zöllner, Uwe Franke, Joachim Denzler:
Beyond Bounding Boxes: Using Bounding Shapes for Real-Time 3D Vehicle Detection from Monocular RGB Images. 675-682 - Andrea Zinelli, Luigi Musto, Fabio Pizzati:
A Deep-Learning Approach for Parking Slot Detection on Surround-View Images. 683-688 - Sriram N. N., Gourav Kumar, Abhay Singh, M. Siva Karthik, Saket Saurav, Brojeshwar Bhowmick, K. Madhava Krishna:
A Hierarchical Network for Diverse Trajectory Proposals. 689-694 - Frederik Diehl, Thomas Brunner, Michael Truong-Le, Alois C. Knoll:
Graph Neural Networks for Modelling Traffic Participant Interaction. 695-701 - Dominic Spata, Daniela Horn, Sebastian Houben:
Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks. 702-708 - Daan de Geus, Panagiotis Meletis, Gijs Dubbelman:
Single Network Panoptic Segmentation for Street Scene Understanding. 709-715 - Olly Styles, Arun Ross, Victor Sanchez:
Forecasting Pedestrian Trajectory with Machine-Annotated Training Data. 716-721 - Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick:
Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles. 722-729 - Henna Paaso, Mervi Hirvonen:
Angular Resolution Improvement by Using Multi-Radar and FBSS MUSIC DoA Estimation Algorithm. 730-735 - Klaudius Werber, Jens Klappstein, Jtirgen Dickmann, Christian Waldschmidt:
Association of Straight Radar Landmarks for Vehicle Self-Localization. 736-743 - Patrick Held, Dagmar Steinhauser, Alexander Kamann, Andreas Koch, Thomas Brandmeier, Ulrich T. Schwarz:
Micro-Doppler Extraction of Bicycle Pedaling Movements Using Automotive Radar. 744-749 - Michael Slutsky, Daniel Dobkin:
Fast Implementation of Volumetric Occupancy Grids. 750-755 - Robert Prophet, Gang Li, Christian Sturm, Martin Vossiek:
Semantic Segmentation on Automotive Radar Maps. 756-763 - Dagmar Steinhauser, Patrick Held, Alexander Kamann, Andreas Koch, Thomas Brandmeier:
Micro-Doppler Extraction of Pedestrian Limbs for High Resolution Automotive Radar. 764-769 - Philipp Berthold, Martin Michaelis, Thorsten Luettel, Daniel Meissner, Hans-Joachim Wuensche:
A Radar Measurement Model for Extended Object Tracking in Dynamic Scenarios. 770-776 - Qiwen Deng, Jialiang Le, Saeed Barbat, Renran Tian, Yaobin Chen:
Efficient living subject localization and weak vital-sign signal enhancement using impulse radio based UWB radar. 777-782 - Michael Baltaxe, Ruben Mergui, Kobi Nistel, Gila Kamhi:
Marker-less Vision-based Detection of Improper Seat Belt Routing. 783-789 - Boyang Wang, Jianwei Gong, Wenli Liang, Huiyan Chen:
Regeneration and Joining of the Learned Motion Primitives for Automated Vehicle Motion Planning Applications. 790-797 - Hiroaki Hayashi, Mitsuhiro Kamezaki, Udara E. Manawadu, Takahiro Kawano, Takaaki Ema, Tomoya Tomita, Catherine Lollett, Shigeki Sugano:
A Driver Situational Awareness Estimation System Based on Standard Glance Model for Unscheduled Takeover Situations. 798-803 - Patrick Lindemann, Niklas Müller, Gerhard Rigoll:
Exploring the Use of Augmented Reality Interfaces for Driver Assistance in Short-Notice Takeovers. 804-809 - Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick:
Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks. 810-815 - Pedro M. d'Orey, Pedro M. Santos, José Pintor, Ana Aguiar:
Opportunistic Use of In-Vehicle Wireless Networks for Vulnerable Road User Interaction. 816-823 - Ewoud A. I. Pool, Julian F. P. Kooij, Dariu M. Gavrila:
Context-based cyclist path prediction using Recurrent Neural Networks. 824-830 - Andreas Löcken, Philipp Wintersberger, Anna-Katharina Frison, Andreas Riener:
Investigating User Requirements for Communication Between Automated Vehicles and Vulnerable Road Users. 879-884 - Leyre Artal-Villa, Ahmed Hussein, Cristina Olaverri-Monreal:
Extension of the 3DCoAutoSim to Simulate Vehicle and Pedestrian Interaction based on SUMO and Unity 3D. 885-890