default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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 - Michael Hartmann, Daniel Watzenig:
Optimal motion planning with reachable sets of vulnerable road users. 891-898 - Dongfang Yang, Linhui Li, Keith A. Redmill, Ümit Özgüner:
Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded Campus. 899-904 - Christian Muench, Dariu M. Gavrila:
Composable Q- Functions for Pedestrian Car Interactions. 905-912 - Daniela A. Ridel, Nachiket Deo, Denis F. Wolf, Mohan M. Trivedi:
Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis. 913-918 - Yang Li, Long Xin, Dameng Yu, Pengwen Dai, Jianqiang Wang, Shengbo Eben Li:
Pedestrian Trajectory Prediction with Learning-based Approaches: A Comparative Study. 919-926 - Markus Roth, Dariu M. Gavrila:
DD-Pose - A large-scale Driver Head Pose Benchmark. 927-934 - Hien Q. Dang, Johannes Fürnkranz:
Driver Information Embedding with Siamese LSTM networks. 935-940 - Antonia Breuer, Jana Kirschner, Silviu Homoceanu, Tim Fingscheidt:
Towards Tactical Maneuver Detection for Autonomous Driving Based on Vision Only. 941-948 - Naoki Akai, Takatsugu Hirayama, Luis Yoichi Morales, Yasuhiro Akagi, Hailong Liu, Hiroshi Murase:
Driving Behavior Modeling Based on Hidden Markov Models with Driver's Eye-Gaze Measurement and Ego-Vehicle Localization. 949-956 - Teawon Han, Junbo Jing, Ümit Özgüner:
Driving Intention Recognition and Lane Change Prediction on the Highway. 957-962 - Katharina Gillmeier, Frederik Diederichs, Dieter Spath:
Prediction of ego vehicle trajectories based on driver intention and environmental context. 963-968 - Patrick Gebert, Alina Roitberg, Monica Haurilet, Rainer Stiefelhagen:
End-to-end Prediction of Driver Intention using 3D Convolutional Neural Networks. 969-974 - Kaouther Messaoud, Itheri Yahiaoui, Anne Verroust-Blondet, Fawzi Nashashibi:
Non-local Social Pooling for Vehicle Trajectory Prediction. 975-980 - Alberto Díaz-Álvarez, Francisco Serradilla Garcia, Felipe Jiménez, Edgar Talavera-Mufioz, Cristina Olaverri-Monreal:
Fuzzy Controller Inference via Gradient Descent to Model the Longitudinal Behavior on Real Drivers. 981-986 - Mohamed Hedi Baccour, Frauke Driewer, Enkelejda Kasneci, Wolfgang Rosenstiel:
Camera-Based Eye Blink Detection Algorithm for Assessing Driver Drowsiness. 987-993 - Yutong Li, Chen Lv, Junliang Xue:
A Novel Predictive Haptic Control Interface for Automation-to-Human Takeover of Automated Vehicles. 994-999 - Thomas Ponn, Fabian Müller, Frank Diermeyer:
Systematic Analysis of the Sensor Coverage of Automated Vehicles Using Phenomenological Sensor Models. 1000-1006 - Elijah I. Adegoke, Jasmine Zidane, Erik Kampert, Paul A. Jennings, Col R. Ford, Stewart A. Birrell, Matthew D. Higgins:
Evaluating Machine Learning & Antenna Placement for Enhanced GNSS Accuracy for CAVs. 1007-1012 - Florian Pusse, Matthias Klusch:
Hybrid Online POMDP Planning and Deep Reinforcement Learning for Safer Self-Driving Cars. 1013-1020 - Lei Yang, Qi Wang, Yingqi Tan, Jianwei Gong:
Autonomous Vehicle Path Planning Considering Dwarf or Negative Obstacles. 1021-1026 - Hanno Winter, Stefan Luthardt, Volker Willert, Jürgen Adamy:
Generating Compact Geometric Track-Maps for Train Positioning Applications. 1027-1032 - Henrik Bey, Frank Dierkes, Sebastian Bayerl, Alexander Lange, Dennis Faßbender, Jörn Thielecke:
Optimization-based Tactical Behavior Planning for Autonomous Freeway Driving in Favor of the Traffic Flow. 1033-1040 - Jiawei Wang, Yang Zheng, Qing Xu, Jianqiang Wang, Keqiang Li:
Controllability Analysis and Optimal Controller Synthesis of Mixed Traffic Systems. 1041-1047 - Julien Moreau, Pierre Melchior, Stéphane Victor, Mathieu Moze, François Aioun, Franck Guillemard:
Reactive Path Planning for Autonomous Vehicle Using Bézier Curve Optimization. 1048-1053 - Markus Schratter, Maxime Bouton, Mykel J. Kochenderfer, Daniel Watzenig:
Pedestrian Collision Avoidance System for Scenarios with Occlusions. 1054-1060 - Artem Savkin, Monika Kasperek, Federico Tombari:
Sampling/Importance Resampling for Semantically Consistent Synthetic to Real Image Domain Adaptation in Urban Traffic Scenes. 1061-1068 - Sina Alighanbari, Nasser L. Azad:
Ecological NMPC Controller for Connected and Automated Plug-in Hybrid Electric Vehicles at Roundabouts. 1069-1074 - Raghu Ram Theerthala, A. V. S. Sai Bhargav Kumar, Mithun Babu, S. Phaniteja, K. Madhava Krishna:
Motion Planning Framework for Autonomous Vehicles: A Time Scaled Collision Cone Interleaved Model Predictive Control Approach. 1075-1080 - Ekler Paulino de Mattos, Augusto C. S. A. Domingues, Antonio A. F. Loureiro:
Give Me Two Points and I'll Tell You Who You Are. 1081-1087 - Jinyan Ji, Jiabao Zhao, Hao Sun:
A Novel Traffic Light Control Strategy With a Reconfigured Stop Line. 1088-1092 - Sergio Di Martino, Vincenzo Norman Vitale, Fabian Bock:
Comparing Different On-Street Parking Information for Parking Guidance and Information Systems. 1093-1098 - Daniel Markert, Alejandro Masrur:
Space-Efficient Traffic Protocols for Intelligent Crossroads. 1099-1104 - Marouan Khata, Nadiya Shvai, Abul Hasnat, Arcadi Llanza, Assan Sanogo, Antoine Meicler, Amir Nakib:
Novel Context-aware Classification for Highly Accurate Automatic Toll Collection. 1105-1110 - Francesco Bellotti, Riccardo Berta, Ahmad Hassan Kobeissi, Nisrine Osman, Eduardo Arnold, Mehrdad Dianati, Ben Nagy, Alessandro De Gloria:
Designing an IoT Framework for Automated Driving Impact Analysis. 1111-1117 - Young Woo Seo, Chih-Chung Chou:
A Tight Coupling of Vision-Lidar Measurements for an Effective Odometry. 1118-1123 - Mathias Bürki, Lukas Schaupp, Marcin Dymczyk, Renaud Dubé, Cesar Cadena, Roland Siegwart, Juan I. Nieto:
VIZARD: Reliable Visual Localization for Autonomous Vehicles in Urban Outdoor Environments. 1124-1130 - Tim Pfeifer, Peter Protzel:
Incrementally learned Mixture Models for GNSS Localization. 1131-1138 - Mostafa Osman, Ricardo Alonso, Ahmed Hammam, Francisco Miguel Moreno, Abdulla Al-Kaff, Ahmed Hussein:
Multisensor Fusion Localization using Extended H∞Filter using Pre-filtered Sensors Measurements. 1139-1144 - Martin Holder, Sven Hellwig, Hermann Winner:
Real-Time Pose Graph SLAM based on Radar. 1145-1151 - Yuichi Takeda, Chikao Tsuchiya, Abdelaziz Khiat:
Ground Truth Generation for Quantitative Performance Evaluation of Localization Methods in Urban Areas. 1152-1158 - Chikao Tsuchiya, Yuichi Takeda, Abdelaziz Khiat:
A Self-Localization Method for Urban Environments using Vehicle-Body-Embedded Off-the-Shelf Sensors. 1159-1165 - Julie Stephany Berrio, James R. Ward, Stewart Worrall, Eduardo M. Nebot:
Identifying robust landmarks in feature-based maps. 1166-1172 - Julie Stephany Berrio, James R. Ward, Stewart Worrall, Eduardo M. Nebot:
Updating the visibility of a feature-based map for long-term maintenance. 1173-1179 - Birgit Henke, Johann Nikolai Hark, Daniel Becker, Oliver Sawade, Ilja Radusch:
Map Switching Monte Carlo LiDAR Localization for Automated Driving in Parking Garages. 1180-1185 - Haohao Hu, Marc Sons, Christoph Stiller:
Accurate Global Trajectory Alignment using Poles and Road Markings. 1186-1191 - Isabell Hofstetter, Michael Sprunk, Frank Schuster, Florian Ries, Martin Haueis:
On Ambiguities in Feature-Based Vehicle Localization and their A Priori Detection in Maps. 1192-1198 - Guillaume Bresson, Li Yu, Cyril Joly, Fabien Moutarde:
Urban Localization with Street Views using a Convolutional Neural Network for End-to-End Camera Pose Regression. 1199-1204 - Jun Li, Junqiao Zhao, Yuchen Kang, Xudong He, Chen Ye, Lu Sun:
DL-SLAM: Direct 2.5D LiDAR SLAM for Autonomous Driving. 1205-1210 - Martin Liebner, Dominik Jain, Julian Schauseil, David Pannen, Andreas Hackelöer:
Crowdsourced HD Map Patches Based on Road Model Inference and Graph-Based SLAM. 1211-1218 - Elwan Héry, Philippe Xu, Philippe Bonnifait:
Pose and covariance matrix propagation issues in cooperative localization with LiDAR perception. 1219-1224 - Anthony Welte, Philippe Xu, Philippe Bonnifait, Clément Zinoune:
Estimating the reliability of georeferenced lane markings for map-aided localization. 1225-1231 - Joelle Al Hage, Philippe Xu, Philippe Bonnifait:
High Integrity Localization With Multi-Lane Camera Measurements. 1232-1238 - Benny Wijaya, Nanshan Deng, Kun Jiang, Ruidong Yan, Diange Yang:
Real-time Adaptive UWB Positioning System Enhanced by Sensor Fusion for Multiple Targets Detection. 1239-1246 - Siqi Yi, Stewart Worrall, Eduardo M. Nebot:
Metrics for the Evaluation of localisation Robustness. 1247-1253 - Mohammad Aldibaja, Ryo Yanase, Tae Hyon Kim, Akisue Kuramoto, Keisuke Yoneda, Noaki Suganuma:
Accurate Elevation Maps based Graph-Slam Framework for Autonomous Driving. 1254-1261 - Yuhao Chen, Ming Yang, Chunxiang Wang, Bing Wang:
3D Semantic Modelling With Label Correction For Extensive Outdoor Scene. 1262-1267 - Shuxian Jiang, Debiao Lu, Baigen Cai:
GNSS NLOS Signal Modeling and Quantification Method in Railway Urban Canyon Environment. 1268-1273 - Lei He, Ming Yang, Hao Li, Yuesheng He, Bing Wang, Chunxiang Wang:
Graph Matching Pose SLAM based on Road Network Information. 1274-1279 - Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer:
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection. 1280-1287 - Stefan A. Baur, Frank Moosmann, Sascha Wirges, Christoph B. Rist:
Real-time 3D LiDAR Flow for Autonomous Vehicles. 1288-1295 - Eric Royer, Morgan Slade, Michel Dhome:
Easy auto-calibration of sensors on a vehicle equipped with multiple 2D-LIDARs and cameras. 1296-1303 - Edouard Capellier, Franck Davoine, Véronique Cherfaoui, You Li:
Evidential deep learning for arbitrary LIDAR object classification in the context of autonomous driving. 1304-1311 - Eduardo Romera, Luis Miguel Bergasa, Kailun Yang, José M. Álvarez, Rafael Barea:
Bridging the Day and Night Domain Gap for Semantic Segmentation. 1312-1318 - Simon Chadwick, Paul Newman:
Training Object Detectors With Noisy Data. 1319-1325 - Jens Schulz, Constantin Hubmann, Nikolai Morin, Julian Löchner, Darius Burschka:
Learning Interaction-Aware Probabilistic Driver Behavior Models from Urban Scenarios. 1326-1333 - Panagiotis Meletis, Gijs Dubbelman:
On Boosting Semantic Street Scene Segmentation with Weak Supervision. 1334-1339 - Zhuo Xu, Haonan Chang, Chen Tang, Changliu Liu, Masayoshi Tomizuka:
Toward Modularization of Neural Network Autonomous Driving Policy Using Parallel Attribute Networks. 1400-1407 - Zhengyong Chen, Qinghai Liao, Zhe Wang, Yang Liu, Ming Liu:
Image Detector Based Automatic 3D Data Labeling and Training for Vehicle Detection on Point Cloud. 1408-1413 - Younkwan Lee, Juhyun Lee, Yoojin Hong, YeongMin Ko, Moongu Jeon:
Unconstrained Road Marking Recognition with Generative Adversarial Networks. 1414-1419 - Wei Yuan, Ming Yang, Chunxiang Wang, Bing Wang:
SteeringLoss: Theory and Application for Steering Prediction. 1420-1425 - Erkan Baser, Venkateshwaran Balasubramanian, Prarthana Bhattacharyya, Krzysztof Czarnecki:
FANTrack: 3D Multi-Object Tracking with Feature Association Network. 1426-1433 - Michelle Valente, Cyril Joly, Arnaud de La Fortelle:
An LSTM Network for Real-Time Odometry Estimation. 1434-1440 - Andreas Pfeuffer, Karina Schulz, Klaus Dietmayer:
Semantic Segmentation of Video Sequences with Convolutional LSTMs. 1441-1447 - Ahmed Hammam, Mohamed A. Abdelhady, Omar M. Shehata, Elsayed I. Morgan:
Learning A Recurrent Neural Network for State Estimation using Filtered Sensory Data. 1448-1453 - Pin Wang, Hanhan Li, Ching-Yao Chan:
Continuous Control for Automated Lane Change Behavior Based on Deep Deterministic Policy Gradient Algorithm. 1454-1460 - Ali Boyali, Naohisa Hashimoto, Vijay John, Tankut Acarman:
Multi-Agent Reinforcement Learning for Autonomous On Demand Vehicles. 1461-1468 - Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments. 1469-1476 - Mao Shan, Charika De Alvis, Stewart Worrall, Eduardo M. Nebot:
Extended Vehicle Tracking with Probabilistic Spatial Relation Projection and Consideration of Shape Feature Uncertainties. 1477-1483 - Farouk Ghallabi, Ghayath El-Haj-Shhade, Marie-Anne Mittet, Fawzi Nashashibi:
LIDAR-Based road signs detection For Vehicle Localization in an HD Map. 1484-1490 - Jilin Mei, Jiayu Chen, Wen Yao, Xijun Zhao, Huijing Zhao:
Supervised Learning for Semantic Segmentation of 3D LiDAR Data. 1491-1498 - Jianhao Jiao, Qinghai Liao, Yilong Zhu, Tianyu Liu, Yang Yu, Rui Fan, Lujia Wang, Ming Liu:
A Novel Dual-Lidar Calibration Algorithm Using Planar Surfaces. 1499-1504 - Biao Gao, Anran Xu, Yancheng Pan, Xijun Zhao, Wen Yao, Huijing Zhao:
Off-Road Drivable Area Extraction Using 3D LiDAR Data. 1505-1511 - Larissa T. Triess, David Peter, Christoph B. Rist, Markus Enzweiler, J. Marius Zöllner:
CNN-based synthesis of realistic high-resolution LiDAR data. 1512-1519 - Sascha Wirges, Marcel Reith-Braun, Martin Lauer, Christoph Stiller:
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps. 1520-1526 - Robin Heinzler, Philipp Schindler, Jürgen Seekircher, Werner Ritter, Wilhelm Stork:
Weather Influence and Classification with Automotive Lidar Sensors. 1527-1534 - Christoph B. Rist, Markus Enzweiler, Dariu M. Gavrila:
Cross-Sensor Deep Domain Adaptation for LiDAR Detection and Segmentation. 1535-1542 - Stefan Kraemer, Mohamed Essayed Bouzouraa, Christoph Stiller:
Utilizing LiDAR Intensity in Object Tracking. 1543-1548 - Queens Maria Thomas, Oliver Wasenmüller, Didier Stricker:
DeLiO: Decoupled LiDAR Odometry. 1549-1556 - Ehsan Nezhadarya, Yang Liu, Bingbing Liu:
BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from Bird's-Eye View Point Cloud. 1557-1564 - Yasuhiro Akagi, Takayuki Morikawa:
Simultaneous description of logical design and implementation of automated driving systems. 1565-1570 - Tian Yang, Guangming Xiong, Yu Zhang, Lei Yang, Bo Tang, Mengze Wu, Jianwei Gong:
A Practical Planning Framework and Its Implementation for Autonomous Navigation in Off-road Environment. 1571-1576 - Keisuke Mori, Hiroshi Fukui, Takuya Murase, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Visual Explanation by Attention Branch Network for End-to-end Learning-based Self-driving. 1577-1582 - Qipeng Liu, Yilin Mo, Xiaoyu Mo, Chen Lv, Ehsan Mihankhah, Danwei Wang:
Secure Pose Estimation for Autonomous Vehicles under Cyber Attacks. 1583-1588 - Sebastian Wagner, Korbinian Groh, Thomas Kühbeck, Alois C. Knoll:
Towards Cross-Verification and Use of Simulation in the Assessment of Automated Driving. 1589-1596 - Tobias Schräder, Torben Stolte, Inga Jatzkowski, Robert Graubohm, Markus Maurer:
An Approach for a Requirement Analysis for an Autonomous Family Vehicle. 1597-1603 - Nitin R. Kapania, Vijay Govindarajan, Francesco Borrelli, J. Christian Gerdes:
A Hybrid Control Design for Autonomous Vehicles at Uncontrolled Crosswalks. 1604-1611 - Tobias Kessler, Julian Bernhard, Martin Buechel, Klemens Esterle, Patrick Hart, Daniel Malovetz, Michael Truong-Le, Frederik Diehl, Thomas Brunner, Alois C. Knoll:
Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving. 1612-1619 - Maximilian Kloock, Ludwig Kragl, Janis Maczijewski, Bassam Alrifaee, Stefan Kowalewski:
Distributed Model Predictive Pose Control of Multiple Nonholonomic Vehicles. 1620-1625 - José A. Diaz Amado, Iago Pachêco Gomes, Jean Amaro, Denis Fernando Wolf, Fernando Santos Osório:
End-to-End Deep Learning Applied in Autonomous Navigation using Multi-Cameras System with RGB and Depth Images. 1626-1631 - Zafeiris Kokkinogenis, Miguel Teixeira, Pedro M. d'Orey, Rosaldo J. F. Rossetti:
Tactical Level Decision-Making for Platoons of Autonomous Vehicles Using Auction Mechanisms. 1632-1638 - Roberto Merco, Francesco Ferrante, Pierluigi Pisu:
DoS-Resilient Hybrid Controller for String-Stable Connected Vehicles. 1639-1644 - Antonio Artuñedo, Jorge Godoy, Jorge Villagra:
A decision-making architecture for automated driving without detailed prior maps. 1645-1652 - Maximilian Graf, Oliver Speidel, Klaus Dietmayer:
Trajectory Planning for Automated Vehicles in Overtaking Scenarios. 1653-1659 - Laura Ferranti, Bruno Brito, Ewoud A. I. Pool, Y. Zheng, Ronald M. Ensing, Riender Happee, Barys N. Shyrokau, Julian F. P. Kooij, Javier Alonso-Mora, Dariu M. Gavrila:
SafeVRU: A Research Platform for the Interaction of Self-Driving Vehicles with Vulnerable Road Users. 1660-1666 - Foghor Tanshi, Dirk Söffker:
Modeling of takeover variables with respect to driver situation awareness and workload for intelligent driver assistance. 1667-1672 - Siddharth, Mohan M. Trivedi:
Attention Monitoring and Hazard Assessment with Bio-Sensing and Vision: Empirical Analysis Utilizing CNNs on the KITTI Dataset. 1673-1678 - Coleman Merenda, Chihiro Suga, Joseph L. Gabbard, Teruhisa Misu:
Effects of Vehicle Simulation Visual Fidelity on Assessing Driver Performance and Behavior. 1679-1686 - Michael Rettenmaier, Moritz Pietsch, Jonas Schmidtler, Klaus Bengler:
Passing through the Bottleneck - The Potential of External Human-Machine Interfaces. 1687-1692 - Florian Wirth, Jannik Quehl, Jeffrey M. Ota, Christoph Stiller:
PointAtMe: Efficient 3D Point Cloud Labeling in Virtual Reality. 1693-1698 - Clemens Schartmüller, Philipp Wintersberger, Anna-Katharina Frison, Andreas Riener:
Type-o-Steer: Reimagining the Steering Wheel for Productive Non-Driving Related Tasks in Conditionally Automated Vehicles. 1699-1706 - Hao Cheng, Yao Li, Monika Sester:
Pedestrian Group Detection in Shared Space. 1707-1714 - Cristian Olariu, Haytham Assem, Juan Diego Ortega, Marcos Nieto:
A Cloud-Based AI Framework for Machine Learning Orchestration: A "Driving or Not-Driving" Case-Study for Self-Driving Cars. 1715-1722 - Yongkun Fang, Huijing Zhao, Hongbin Zha, Xijun Zhao, Wen Yao:
Camera and LiDAR Fusion for On-road Vehicle Tracking with Reinforcement Learning. 1723-1730 - Alireza Ahrabian, Mehryar Emambakhsh, Marcel Sheeny, Andrew M. Wallace:
Efficient Multi-Sensor Extended Target Tracking using GM-PHD Filter. 1731-1738 - Michael Gabb, Holger Digel, Tobias Müller, Rüdiger-Walter Henn:
Infrastructure-supported Perception and Track-level Fusion using Edge Computing. 1739-1745 - Abderrahim Kasmi, Dieumet Denis, Romuald Aufrère, Roland Chapuis:
Probabilistic framework for ego-lane determination. 1746-1752 - Luis Paarup Peláez, Myriam Elizabeth Vaca Recalde, Enrique D. Martí Muñóz, Jesús Murgoitio Larrauri, Joshué Pérez Rastelli, Norbert Druml, Bernhard Hillbrand:
Car parking assistance based on Time-or-Flight camera. 1753-1759 - Michael Slutsky, Daniel Dobkin:
Dual Inverse Sensor Model for Radar Occupancy Grids. 1760-1767 - Andras Palffy, Julian F. P. Kooij, Dariu M. Gavrila:
Occlusion aware sensor fusion for early crossing pedestrian detection. 1768-1774 - Chao Xia, Yanqing Shen, Tangyike Zhang, Songyi Zhang, Yongbo Huo, Shi-tao Chen, Nanning Zheng:
Robust Extrinsic Parameter Calibration of 3D LIDAR Using Lie Algebras. 1775-1781 - Thomas Emter, Anton Schirg, Philipp Woock, Janko Petereit:
Stochastic Cloning for Robust Fusion of Multiple Relative and Absolute Measurements. 1782-1788 - Xiaoliang Ju, Donghao Xu, Xijun Zhao, Wen Yao, Huijing Zhao:
Learning Scene Adaptive Covariance Error Model of LiDAR Scan Matching for Fusion Based Localization. 1789-1796 - Jae-Seol Lee, Tae-Hyoung Park:
Fast Lidar - Camera Fusion for Road Detection by CNN and Spherical Coordinate Transformation. 1797-1802 - Martin Michaelis, Philipp Berthold, Thorsten Luettel, Daniel Meissner, Hans-Joachim Wuensche:
A Merging Strategy for Gaussian Process Extended Target Estimates in Multi-Sensor Applications. 1803-1808 - Angel Gabriel Alatorre Vazquez, Cyrano Vaseur, Alessandro Corrêa Victorino, Ali Charara:
Road profile and suspension state estimation boosted with vehicle dynamics conjectures. 1809-1815 - Walter Zimmer, Akshay Rangesh, Mohan M. Trivedi:
3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams. 1816-1821 - Vasundhara Jain, Uli Kolbe, Gabi Breuel, Christoph Stiller:
Reacting to Multi-Obstacle Emergency Scenarios Using Linear Time Varying Model Predictive Control. 1822-1829 - Ernestine Fu, Srinath Sibi, David Bryan Miller, Mishel Johns, Brian K. Mok, Martin Fischer, David Sirkin:
The Car That Cried Wolf: Driver Responses to Missing, Perfectly Performing, and Oversensitive Collision Avoidance Systems. 1830-1836 - Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop:
A Deep Reinforcement Learning Framework for Energy Management of Extended Range Electric Delivery Vehicles. 1837-1842 - Jose A. Matute, Ray Lattarulo, Asier Zubizarreta, Joshué Pérez:
A Comparison Between Coupled and Decoupled Vehicle Motion Controllers Based on Prediction Models. 1843-1848 - Christoph Allig, Gerd Wanielik:
Alignment of Perception Information for Cooperative Perception. 1849-1854 - Konstantin Riedl, Sebastian Kurscheid, Andreas Noll, Johannes Betz, Markus Lienkamp:
Road Network Coverage Models for Cloud-based Automotive Applications: A Case Study in the City of Munich. 1855-1860 - Haris Volos, Takashi Bando, Kenji Konishi:
ReLaDec: Reliable Latency Decision Algorithm for Connected Vehicle Applications. 1861-1868 - Marcel Rumez, Alexander Duda, Patrick Gründer, Reiner Kriesten, Eric Sax:
Integration of Attribute-based Access Control into Automotive Architectures. 1916-1922 - John M. Maroli, Ümit Özgüner, Keith A. Redmill:
A Framework for Automated Collaborative Fault Detection in Large-Scale Vehicle Networks. 1923-1927 - Charles Philippe, Lounis Adouane, Antonios Tsourdos, Hyo-Sang Shin, Benoît Thuilot:
Probability Collectives Algorithm applied to Decentralized Intersection Coordination for Connected Autonomous Vehicles. 1928-1934 - Tiago C. dos Santos, Diego Renan Bruno, Fernando Santos Osório, Denis F. Wolf:
Evaluation of lane-merging approaches for connected vehicles. 1935-1939 - Johannes Müller, Michael Gabb, Michael Buchholz:
A Subjective-Logic-based Reliability Estimation Mechanism for Cooperative Information with Application to IV's Safety. 1940-1946 - Takamasa Higuchi, Marco Giordani, Andrea Zanella, Michele Zorzi, Onur Altintas:
Value-Anticipating V2V Communications for Cooperative Perception. 1947-1952 - Tobias Kessler, Alois C. Knoll:
Cooperative Multi-Vehicle Behavior Coordination for Autonomous Driving. 1953-1960 - Alexander Rech, Markus Pistauer, Christian Steger:
A Novel Embedded Platform for Secure and Privacy-Concerned Cross-Domain Service Access. 1961-1967 - Mengchi Cai, Qing Xu, Keqiang Li, Jianqiang Wang:
Multi-lane Formation Assignment and Control for Connected Vehicles. 1968-1973 - Amr Farag, Ahmed Hussein, Omar M. Shehata, Fernando García, Hadj Hamma Tadjine, Elmar Matthes:
Dynamics Platooning Model and Protocols for Self-Driving Vehicles. 1974-1980 - Insaf Ismath, Tharaka Samarasinghe, Dileeka Dias, Madara Wimalarathna, Waruna Rasanga, Nalin Jayaweera, Yohan Nugera:
Emergency Vehicle Traversal using DSRC/WAVE based Vehicular Communication. 1981-1986 - Yuan Zou, Ningyuan Guo, Xudong Zhang:
An Integrated Path-following and Yaw Motion Control Strategy for Autonomous Distributed Drive Electric Vehicles with Differential Steering. 1987-1992 - Hussein Termous, Xavier Moreau, Clovis Francis, Hassan Shraim:
Effect of Vertical Dynamics on Vehicle's Lateral Stability Control System. 1993-1998 - Arun Muraleedharan, Hiroyuki Okuda, Tatsuya Suzuki:
Improvement of Control Performance of Sampling Based Model Predictive Control using GPU. 1999-2004 - Fei Ye, Jianlin Guo, Kyeong Jin Kim, Philip V. Orlik, Heejin Ahn, Stefano Di Cairano, Matthew J. Barth:
Bi-level Optimal Edge Computing Model for On-ramp Merging in Connected Vehicle Environment. 2005-2011 - Pin Wang, Tianyu Shi, Chonghao Zou, Long Xin, Ching-Yao Chan:
A Data Driven Method of Feedforward Compensator Optimization for Autonomous Vehicle Control. 2012-2017 - Silas Klug, Alessandro Moia, Armin Verhagen, Daniel Görges, Sergio M. Savaresi:
Modeling of Coupled Vertical and Longitudinal Dynamics of Bicycles for Brake and Suspension Control. 2018-2024 - Andreas Folkers, Matthias Rick, Christof Büskens:
Controlling an Autonomous Vehicle with Deep Reinforcement Learning. 2025-2031 - Silas Klug, Alessandro Moia, Armin Verhagen, Daniel Görges, Sergio M. Savaresi:
Semi-Active Suspension Control on Bicycles: Anti-Dive during Road Excitation. 2032-2038 - Ty Nguyen, Tsz-Chiu Au:
A Constant-Time Algorithm for Checking Reachability of Arrival Times and Arrival Velocities of Autonomous Vehicles. 2039-2044 - Sandor Vass, J. Gyöngyössy, Viktor Tihanyi:
Comparison of Transmission Control Algorithms for Automated Vehicles. 2045-2051 - Zachary Brock, James Nelson, Ross L. Hatton:
A Comparison of Lateral Dynamic Models for Tractor-Trailer Systems. 2052-2059 - Maciej Marcin Michalek:
Modular approach to compact low-speed kinematic modelling of multi-articulated urban buses for motion algorithmization purposes. 2060-2065 - Zhensong Wei, Peng Hao, Matthew J. Barth:
Developing an Adaptive Strategy for Connected Eco-Driving under Uncertain Traffic Condition. 2066-2071 - Hao Yang, Ken Oguchi:
Multi-lane Freeway Oscillation Mitigation at Early-Stage Development of Connected Vehicles. 2072-2079 - Fei Ye, Peng Hao, Guoyuan Wu, Danial Esaid, Kanok Boriboonsomsin, Matthew J. Barth:
An Advanced Simulation Framework of an Integrated Vehicle-Powertrain Eco-Operation System for Electric Buses. 2080-2085 - Jakob Pfeiffer, Peter Wolf, Roberto Pereira:
A Fleet-Based Machine Learning Approach for Automatic Detection of Deviations between Measurements and Reality. 2086-2092 - Maximilian Cussigh, Thomas Hamacher:
Optimal Charging and Driving Strategies for Battery Electric Vehicles on Long Distance Trips: a Dynamic Programming Approach. 2093-2098 - Sten Elling Tingstad Jacobsen, Anton Gustafsson, Nam Vu, Sachin Madhusudhana, Ahad Hamednia, Nalin Kumar Sharma, Nikolce Murgovski:
Predictive cruise control behind a stationary or slow moving object. 2099-2105 - Jaweeok Shin, Sunbin Kim, Myoungho Sunwoo, Manbae Han:
Ego-Vehicle Speed Prediction Using Fuzzy Markov Chain With Speed Constraints. 2106-2112 - Jinwei Zhou, Pavlo Tkachenko, Luigi del Re:
Gap Acceptance Based Safety Assessment Of Autonomous Overtaking Function. 2113-2118 - Florian Reiterer, Jinwei Zhou, Jan Kovanda, Vojtech Rulc, Vladislav Kemka, Luigi del Re:
Beyond-Design-Basis Evaluation of Advanced Driver Assistance Systems. 2119-2124 - Zhiqiang Li, Lu Xiong, Dequan Zeng, Peizhi Zhang, Zhiqiang Fu, Jie Yao, Yi Zhou:
Predictable Trajectory Planner in Time-domain and Hierarchical Motion Controller for Intelligent Vehicles in Structured Road. 2125-2132 - Tim Allan Wheeler, Mykel J. Kochenderfer:
Critical Factor Graph Situation Clusters for Accelerated Automotive Safety Validation. 2133-2139 - Klemens Esterle, Vincent Aravantinos, Alois C. Knoll:
From Specifications to Behavior: Maneuver Verification in a Semantic State Space. 2140-2147 - Julian Bernhard, Stefan Pollok, Alois C. Knoll:
Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning. 2148-2155 - Joonatan Mänttäri, John Folkesson:
Incorporating Uncertainty in Predicting Vehicle Maneuvers at Intersections With Complex Interactions. 2156-2163 - Eduardo Sánchez Morales, Richard Membarth, Andreas Gaull, Philipp Slusallek, Tobias Dirndorfer, Alexander Kammenhuber, Christoph Lauer, Michael Botsch:
Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance. 2164-2171 - Constantin Hubmann, Nils Quetschlich, Jens Schulz, Julian Bernhard, Daniel Althoff, Christoph Stiller:
A POMDP Maneuver Planner For Occlusions in Urban Scenarios. 2172-2179 - Zhiqiang Jian, Songyi Zhang, Shi-tao Chen, Xin Lv, Nanning Zheng:
High-Definition Map Combined Local Motion Planning and Obstacle Avoidance for Autonomous Driving. 2180-2186 - Bruno Simon, Florian Franke, Peter Riegl, Andreas Gaull:
Motion Planning for Collision Mitigation via FEM-Based Crash Severity Maps. 2187-2194 - Miankuan Zhu, Lei Han, Fujian Liang, Chaoxing Xi, Lei Wu, Zutao Zhang:
A Novel Vehicle Open Door Safety System Based on Cyclist Detection Using Fisheye Camera and Improved Deep Convolutional Generative Adversarial Nets. 2195-2201 - Manne Held, Oscar Flärdh, Fredrik Roos, Jonas Mårtensson:
Implementation of an Optimal Look-Ahead Controller in a Heavy-Duty Distribution Vehicle. 2202-2207 - Teppei Suzuki, Ikuro Sato:
A New Way of Estimating Distances to Foregoing Vehicles from a Monocular Camera with Error Modeling. 2208-2214 - Lennart Ries, Jacob Langner, Stefan Otten, Johannes Bach, Eric Sax:
A Driving Scenario Representation for Scalable Real-Data Analytics with Neural Networks. 2215-2222 - Aaron Edelmann, Stefan Stümper, Tibor Petzoldt:
Specific Feedback Matters - The Role of Specific Feedback in the Development of Trust in Automated Driving Systems. 2223-2228 - Matthias Matousek, Mohamed El-Zohairy, Ala'a Al-Momani, Frank Kargl, Christoph Bösch:
Detecting Anomalous Driving Behavior using Neural Networks. 2229-2235 - Ian Jones, Kyungtae Han:
Probabilistic Modeling of Vehicle Acceleration and State Propagation With Long Short-Term Memory Neural Networks. 2236-2242 - Hiroki Watanabe, Lukas Tobisch, Tim Laudien, Johannes Wallner, Günther Prokop:
A Method for the Estimation of Coexisting Risk-Inducing Factors in Traffic Scenarios. 2243-2250 - Jakob Mayr, Can Giracoglu, Christian Unger, Federico Tombari:
Headlight Range Estimation for Autonomous Driving using Deep Neural Networks. 2251-2258 - Yongjun Yan, Jinxiang Wang, Kuoran Zhang, Mingcong Cao, Jiansong Chen:
Path Planning using a Kinematic Driver-Vehicle-Road Model with Consideration of Driver's Characteristics. 2259-2264 - Bernd Gaßmann, Fabian Oboril, Cornelius Bürkle, Shuang Liu, Shoumeng Yan, Maria Soledad Elli, Ignacio J. Alvarez, Naveen Aerrabotu, Suhel Jaber, Peter van Beek, Darshan Iyer, Jack Weast:
Towards Standardization of AV Safety: C++ Library for Responsibility Sensitive Safety. 2265-2271 - Kilian Schneider, Robert Lugner, Thomas Brandmeier:
LiDAR-Based Contour Estimation of Oncoming Vehicles in Pre-Crash Scenarios. 2272-2277 - Maximilian Pöpperl, Raghavendra Gulagundi, Senthil Kumar Yogamani, Stefan Milz:
Realistic Ultrasonic Environment Simulation Using Conditional Generative Adversarial Networks. 2278-2283 - Christoph Stöckle, Wolfgang Utschick, Stephan Herrmann, Tobias Dirndorfer:
Robust Function and Sensor Design Considering Sensor Measurement Errors Applied to Automatic Emergency Braking. 2284-2290 - Johannes Potzy, Magdalena Feuerbach, Klaus Bengler:
Communication Strategies for Automated Merging in Dense Traffic. 2291-2298 - Philip Schörner, Lars Töttel, Jens Doll, J. Marius Zöllner:
Predictive Trajectory Planning in Situations with Hidden Road Users Using Partially Observable Markov Decision Processes. 2299-2306 - Kristoffer Bergman, Oskar Ljungqvist, Daniel Axehill:
Improved Optimization of Motion Primitives for Motion Planning in State Lattices. 2307-2314 - Andreas Hartmannsgruber, Julien Seitz, Matthias Schreier, Matthias Strauss, Norbert Balbierer, Andree Hohm:
CUbE: A Research Platform for Shared Mobility and Autonomous Driving in Urban Environments. 2315-2322 - Dameng Yu, Hui Xiong, Qing Xu, Jianqiang Wang, Keqiang Li:
Multi-Stage Residual Fusion Network for LIDAR-Camera Road Detection. 2323-2328 - Julian Thomas, Julian Tatsch, Wim van Ekeren, Raúl Rojas, Alois C. Knoll:
Semantic Grid-Based Road Model Estimation for Autonomous Driving. 2329-2336 - Alireza Rahimpour, Sujitha Martin, Ashish Tawari, Hairong Qi:
Context Aware Road-user Importance Estimation (iCARE). 2337-2343 - Dimia Iberraken, Lounis Adouane, Dieumet Denis:
Reliable Risk Management for Autonomous Vehicles based on Sequential Bayesian Decision Networks and Dynamic Inter-Vehicular Assessment. 2344-2351 - Moritz Klischat, Matthias Althoff:
Generating Critical Test Scenarios for Automated Vehicles with Evolutionary Algorithms. 2352-2358 - Nina Heide, Alexander Albrecht, Thomas Emter, Janko Petereit:
Performance Optimization of Autonomous Platforms in Unstructured Outdoor Environments Using a Novel Constrained Planning Approach. 2359-2364 - Kuan-Hui Lee, Takaaki Tagawa, Jia-En M. Pan, Adrien Gaidon, Bertrand Douillard:
An Attention-based Recurrent Convolutional Network for Vehicle Taillight Recognition. 2365-2370 - Roger Woodman, Ke Lu, Matthew D. Higgins, Simon Brewerton, Paul A. Jennings, Stewart A. Birrell:
A Human Factors Approach to Defining Requirements for Low-speed Autonomous Vehicles to Enable Intelligent Platooning. 2371-2376 - Zhixiong Nan, Yang Feng, Jiawei He, Ping Wei, Linhai Xu, Hongbin Sun, Nanning Zheng:
Scene-Guided Region Proposal Re-ranking Method for On-road Vehicle Candidate Generation. 2377-2382 - Till Menzel, Gerrit Bagschik, Leon Isensee, Andre Schomburg, Markus Maurer:
From Functional to Logical Scenarios: Detailing a Keyword-Based Scenario Description for Execution in a Simulation Environment. 2383-2390 - Aubrey Clausse, Salma Benslimane, Arnaud de La Fortelle:
Large-Scale extraction of accurate vehicle trajectories for driving behavior learning. 2391-2396 - Shushman Choudhury, Jacob P. Knickerbocker, Mykel J. Kochenderfer:
Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning. 2397-2404 - Shaobo Wang, Pan Zhao, Yanghao Zheng, Biao Yu, Weixin Huang, Hui Zhu, Huawei Liang:
Reference Path Correction for Autonomous Ground Vehicles Driving Over Rough Terrain. 2405-2410 - Longsheng Chen, Yuanpeng Chen, Xiangtong Yao, Yunxiao Shan, Long Chen:
An Adaptive Path Tracking Controller Based on Reinforcement Learning with Urban Driving Application. 2411-2416 - Matthew Weber, Ravi Akella, Edward A. Lee:
Service Discovery for the Connected Car with Semantic Accessors. 2417-2422 - Rodolfo Valiente, Mahdi Zaman, Sedat Ozer, Yaser P. Fallah:
Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks. 2423-2428 - Lingqiu Zeng, Ke Zhang, Qingwen Han, Siru Chen, Lei Ye, Ruimei Wang, Jianmei Lei, Qinglong Xie:
Research of Path Planning Model Based on Hotspots Evaluation. 2429-2434 - Davide Peron, Marco Giordani, Michele Zorzi:
An Efficient Requirement-Aware Attachment Policy for Future Millimeter Wave Vehicular Networks. 2435-2442 - Hideaki Nanba, Takeo Kawai, Manabu Sawada, Md. Shoaib Bhuiyan, Koji Oguri:
Field Operational Test of V2V between Tramcars and Cars 'Towards Automated Driving System. 2443-2449 - Suryansh Saxena, Isaac K. Isukapati:
Simulated Basic Safety Message: Concept & Application. 2450-2456 - James M. Fleming, Xingda Yan, Roberto Lot:
Fitting Cornering Speed Models with One-Class Support Vector Machines. 2457-2462 - Friedrich Kruber, Jonas Wurst, Eduardo Sánchez Morales, Samarjit Chakraborty, Michael Botsch:
Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification. 2463-2470 - Boxu Zhao, Guiming Luo:
A New Causal Direction Reasoning Method for Decision Making on Noisy Data. 2471-2476 - Hengbo Ma, Jiachen Li, Wei Zhan, Masayoshi Tomizuka:
Wasserstein Generative Learning with Kinematic Constraints for Probabilistic Interactive Driving Behavior Prediction. 2477-2483 - Eduardo Arnold, Omar Y. Al-Jarrah, Mehrdad Dianati, Saber Fallah, David Oxtoby, Alex Mouzakitis:
Cooperative Object Classification for Driving Applications. 2484-2489 - Daniel Bauer, Lars Kuhnert, Lutz Eckstein:
Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework. 2490-2495 - Jiachen Li, Hengbo Ma, Wei Zhan, Masayoshi Tomizuka:
Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling. 2496-2503 - Arsal Syed, Brendan Tran Morris:
SSeg-LSTM: Semantic Scene Segmentation for Trajectory Prediction. 2504-2509 - Kiwoo Shin, Youngwook Paul Kwon, Masayoshi Tomizuka:
RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement. 2510-2515 - Yecheol Kim, Jaekyum Kim, Junho Koh, Jun Won Choi:
Enhanced Object Detection in Bird's Eye View Using 3D Global Context Inferred From Lidar Point Data. 2516-2521 - Braden Hurl, Krzysztof Czarnecki, Steven L. Waslander:
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception. 2522-2529 - Xiao Wu, Yaochen Li, Yuehu Liu, Shanmin Pang, Le Wang, Chuan Wu, Huihui Huo:
Jointly Detecting and Retrieving Vehicles from Road Image Sequences based on CNN. 2530-2535 - Fabio Pizzati, Fernando García:
Enhanced free space detection in multiple lanes based on single CNN with scene identification. 2536-2541 - Thomas M. Hehn, Julian F. P. Kooij, Dariu M. Gavrila:
Instance Stixels: Segmenting and Grouping Stixels into Objects. 2542-2549 - Jun Hayakawa, Behzad Dariush:
Ego-motion and Surrounding Vehicle State Estimation Using a Monocular Camera. 2550-2556 - Young-Chul Lim, Minsung Kang:
Global and Local Multi-scale Feature Fusion for Object Detection and Semantic Segmentation. 2557-2562 - Zhenpeng Chen, Qianfei Liu, Chenfan Lian:
PointLaneNet: Efficient end-to-end CNNs for Accurate Real-Time Lane Detection. 2563-2568 - Seiichi Mita, Yuquan Xu, Kazuhisa Ishimaru, Sakiko Nishino:
Robust 3D Perception for any Environment and any Weather Condition using Thermal Stereo. 2569-2574 - Andra Petrovai, Sergiu Nedevschi:
Efficient Instance and Semantic Segmentation for Automated Driving. 2575-2581
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-08 20:18 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
