Table of Contents

• In-Chamber V2X Oriented Test Scheme for Connected VehiclesJianmei Lei, Siru Chen, Lingqiu Zeng, Fangli Liu, Konglin Zhu, Jie Liu. 1-6 [doi]
• Optimal control based CACC: Problem formulation, solution, and stability analysisYu Bail, Yu Zhang, Meng Wang, Jia Hu. 7 [doi]
• TARA+: Controllability-aware Threat Analysis and Risk Assessment for L3 Automated Driving SystemsAnastasia Bolovinou, Ugur-Ilker Atmaca, Al Tariq Sheik, Obaid Ur Rehman, Gerhard Wallraf, Angelos Amditis. 8-13 [doi]
• Test and Evaluation of Connected and Autonomous Vehicles in Real-world ScenariosJoel Pereira, Cristiano Premebida, Alireza Asvadi, F. Cannata, Luis Garrote 0001, Urbano Jose C. Nunes. 14-19 [doi]
• Infrastructure Support for Cooperative Maneuvers in Connected and Automated DrivingAlejandro Correa 0002, Robert Alms, Javier Gozálvez, Miguel Sepulcre, Michele Rondinone, Robbin Blokpoel, Leonhard Lücken, Gokulnath Thandavarayan. 20-25 [doi]
• A Test-Driven Approach for Security Designs of Automated VehiclesDajiang Suo, Sanjay E. Sarma. 26-32 [doi]
• Estimating Labeling Quality with Deep Object DetectorsChristian Haase-Schuetz, Heinz Hertlein, Werner Wiesbeck. 33-38 [doi]
• System Architecture and Application-Specific Verification Method for Fault-Tolerant Automated Driving SystemsAyhan Mehmed, Wilfried Steiner, Moritz Antlanger, Sasikumar Punnekkat. 39-44 [doi]
• Formalisation and algorithmic approach to the automated driving validation problemJan Erik Stellet, Tino Brade, Alexander Poddey, Stefan Jesenski, Wolfgang Branz. 45-51 [doi]
• A Probabilistic Framework for Collision Probability Estimation and an Analysis of the Discretization PrecisionDaniel Åsljung, Mathias Westlund, Jonas Fredriksson. 52-57 [doi]
• Specifying Safety of Autonomous Vehicles in Signal Temporal LogicNikos Aréchiga. 58-63 [doi]
• Socially Compliant Navigation in dense crowdsRoman Bresson, Jacques Saraydaryan, Julie Dugdale, Anne Spalanzani. 64-69 [doi]
• Pedestrian Decision-Making Responses to External Human-Machine Interface Designs for Autonomous VehiclesChristopher G. Burns, Luis Oliveira 0001, Peter Thomas, Sumeet Iyer, Stewart A. Birrell. 70-75 [doi]
• The SKYNIVI Experience: Evoking Startle and Frustration in Dyads and Single DriversIgnacio J. Alvarez, Jennifer Healey, Erica Lewis. 76-81 [doi]
• Integrating Neurophysiological Sensors and Driver Models for Safe and Performant Automated Vehicle Control in Mixed TrafficWerner Damm, Martin Fränzle, Andreas Lüdtke, Jochem W. Rieger, Alexander Trende, Anirudh Unni. 82-89 [doi]
• Perceived Pedestrian Safety: Public Interaction with Driverless VehiclesMiguel Ángel de Miguel, Daniel Fuchshuber, Ahmed Hussein, Cristina Olaverri-Monreal. 90-95 [doi]
• The interface challenge for semi-automated vehicles: how driver behavior and trust influence information requirements over timeArun Ulahannan, Stewart A. Birrell, Simon Thomson, Lee Skyrpchuk, Alex Mouzakitis, Paul A. Jennings. 96-101 [doi]
• Time to lane change and completion prediction based on Gated Recurrent Unit NetworkZhanhong Yan, Kaiming Yang, Zheng Wang 0039, Bo Yang, Tsutomu Kaizuka, Kimihiko Nakano. 102-107 [doi]
• Vehicle Detection based on Deep Learning Heatmap EstimationRuddy Théodosc, Dieumet Denis, Christophe Blanc, Thierry Chateau, Paul Checchin. 108-113 [doi]
• Specialized Cyclist Detection Dataset: Challenging Real-World Computer Vision Dataset for Cyclist Detection Using a Monocular RGB CameraAlexander Masalov, Pavel Matrenin, Jeffrey M. Ota, Florian Wirth, Christoph Stiller, Heath Corbet, Eric Lee. 114-118 [doi]
• Utilizing Weak Supervision to Infer Complex Objects and Situations in Autonomous Driving DataZhenzhen Weng, Paroma Varma, Alexander Masalov, Jeffrey M. Ota, Christopher Ré. 119-125 [doi]
• Environment-aware Development of Robust Vision-based Cooperative Perception SystemsGeorg Volk, Alexander von Bemuth, Oliver Bringmann 0001. 126-133 [doi]
• Analysis of Message Generation Rules for Collective Perception in Connected and Automated DrivingGokulnath Thandavarayan, Miguel Sepulcre, Javier Gozálvez. 134-139 [doi]
• Safe but not Overcautious Motion Planning under Occlusions and Limited Sensor RangeMaximilian Naumann, Hendrik Konigshof, Martin Lauer, Christoph Stiller. 140-145 [doi]
• Reducing Computation Times for Planning of Reference Trajectories in Cooperative Autonomous DrivingJan Eilbrecht, Olaf Stursberg. 146-152 [doi]
• Component-based Integration of Interconnected Vehicle ArchitecturesAlexander David Hellwig, Stefan Kriebel, Evgeny Kusmenko, Bernhard Rumpe. 153-158 [doi]
• Virtual World Bridges the Real Challenge: Automated Data Generation for Autonomous DrivingDongfang Liu, Yaqin Wang, Kar Ee Ho, Zhiwei Chu, Eric Matson. 159-164 [doi]
• Modeling dangerous driving events based on in-vehicle data using Random Forest and Recurrent Neural NetworkDaniel Alvarez-Coello, Benjamin Klotz, Daniel Wilms, Sofien Fejji, Jorge Marx Gómez, Raphaël Troncy. 165-170 [doi]
• Recurrent Neural Network Architectures for Vulnerable Road User Trajectory PredictionHui Xiong, Fabian Flohr, Sijia Wang, Baofeng Wang, Jianqiang Wang, Keqiang Li. 171-178 [doi]
• Learning Error Patterns from Diagnosis Trouble CodesStefan Kriebel, Evgeny Kusmenko, Bernhard Rumpe, Igor Shumeiko. 179-184 [doi]
• Backpropagation for Parametric STLKaren Leung, Nikos Aréchiga, Marco Pavone. 185-192 [doi]
• Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change ScenarioZirui Li, Cheng Gong, Chao Lu 0006, Jianwei Gong, Junyan Lu, Youzhi Xu, Fengqing Hu. 193-200 [doi]
• A Model Based Motion Planning Framework for Automated Vehicles in Structured EnvironmentsMaximilian Graf, Oliver Speidel, Klaus Dietmayer. 201-206 [doi]
• Behavior Planning of Autonomous Cars with Social PerceptionLiting Sun, Wei Zhan, Ching-Yao Chan, Masayoshi Tomizuka. 207-213 [doi]
• A Lidar-based Dual-level Virtual Lanes Construction and Anticipation of Specific Road Infrastructure Events for Autonomous DrivingFerit Üzer, Amaury Breheret, Émilie Wirbel, Rachid Benmokhtar. 214-219 [doi]
• Analysis of taxi driving behavior and driving risk based on trajectory dataJing Fan, Ye Li, Yuanlin Liu, Yu Zhang, Changxi Ma. 220-225 [doi]
• How to Improve Object Detection in a Driver Assistance System Applying Explainable Deep LearningTomasz Nowak, Michal R. Nowicki, Krzysztof Cwian, Piotr Skrzypczynski. 226-231 [doi]
• Algorithmization of constrained monotonic maneuvers for an advanced driver assistant system in the intelligent urban busesTomasz Gawron, Mateusz Mydlarz, Maciej Marcin Michalek. 232-238 [doi]
• Interval-based/Data-driven Risk Management for Intelligent Vehicles: Application to an Adaptive Cruise Control SystemNadhir Mansour Ben Lakhal, Lounis Adouane, Othman Nasri, Jaleleddine Ben Hadj Slama. 239-244 [doi]
• Multi-Controller Architecture for Reliable Autonomous Vehicle Navigation: Combination of Model-Driven and Data-Driven FormalizationDimia Iberraken, Lounis Adouanc, Dieumet Denis. 245-251 [doi]
• Validation of Perception and Decision-Making Systems for Autonomous Driving via Statistical Model CheckingMathieu Barbier, Alessandro Renzaglia, Jean Quilbeuf, Lukas Rummelhard, Anshul Paigwar, Christian Laugier, Axel Legay, Javier Ibañez-Guzmán, Olivier Simonin 0001. 252-259 [doi]
• Dynamic demand estimation for an AMoD system in ParisSebastian Hörl, Milos Balac, Kay W. Axhausen. 260-266 [doi]
• Real- World Maneuver Extraction for Autonomous Vehicle Validation: A Comparative StudyAhmetcan Erdogan, Burak Ugranli, Erkan Adali, Ali Sentas, Eren Mungan, Emre Kaplan, Andrea Leitner. 267-272 [doi]
• Learning Risk Level Set Parameters from Data Sets for Safer DrivingAlyssa Pierson, Wilko Schwarting, Sertac Karaman, Daniela Rus. 273-280 [doi]
• AGen: Adaptable Generative Prediction Networks for Autonomous DrivingWenwen Si, Tianhao Wei, Changliu Liu. 281-286 [doi]
• GeoScenario: An Open DSL for Autonomous Driving Scenario RepresentationRodrigo Queiroz, Thorsten Berger, Krzysztof Czarnecki. 287-294 [doi]
• Detection-by- Tracking Boosted Online 3D Multi-Object TrackingQuei-An Chen, Akihiro Tsukada. 295-301 [doi]
• The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective MappingTom Bruls, Horia Porav, Lars Kunze, Paul Newman 0001. 302-309 [doi]
• VeIGAN: Vectorial Inpainting Generative Adversarial Network for Depth Maps Object RemovalLucas P. N. Matias, Marc Sons, Jefferson R. Souza, Denis F. Wolf, Christoph Stiller. 310-316 [doi]
• Deep Learning based Vehicle Position and Orientation Estimation via Inverse Perspective Mapping ImageYoungseok Kim, Dongsuk Kum. 317-323 [doi]
• PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow EstimationRohan Saxena, René Schuster, Oliver Wasenmüller, Didier Stricker. 324-331 [doi]
• Learning Low-Rank Images for Robust All-Day Feature MatchingMengdan Feng, Marcelo H. Ang, Gim Hee Lee. 404-409 [doi]
• Combinatorial use of optical tracker, Gaussian Mixture PHD and group tracking for vehicle light trackingMartin Alsfasser, Mirko Meuter, Anton Kummert. 410-416 [doi]
• Direct 3D Detection of Vehicles in Monocular Images with a CNN based 3D DecoderMichael Weber, Michael Fürst, J. Marius Zöllner. 417-423 [doi]
• On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic SegmentationJonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt. 424-431 [doi]
• Instance Segmentation as Image Segmentation AnnotationThomio Watanabe, Denis F. Wolf. 432-437 [doi]
• Towards Corner Case Detection for Autonomous DrivingJan-Aike Bolte, Andreas Bär, Daniel Lipinski, Tim Fingscheidt. 438-445 [doi]
• Can we PASS beyond the Field of View? Panoramic Annular Semantic Segmentation for Real-World Surrounding PerceptionKailun Yang, Xinxin Hu, Luis Miguel Bergasa, Eduardo Romera, Xiao Huang, Dongming Sun, Kaiwei Wang. 446-453 [doi]
• Deep Intersection Classification Using First and Third Person ViewsKoji Takeda, Kanji Tanaka. 454-459 [doi]
• Dense-ACSSD for End-to-end Traffic Scenes RecognitionZhiwei Cheng, Zhenyang Wang, Hongcheng Huang, Yanbo Liu. 460-465 [doi]
• 3D Object Trajectory Reconstruction using Instance-Aware Multibody Structure from Motion and Stereo Sequence ConstraintsSebastian Bullinger, Christoph Bodensteiner, Michael Arens, Rainer Stiefelhagen. 466-473 [doi]
• Road Crack Detection Using Deep Convolutional Neural Network and Adaptive ThresholdingRui Fan, Mohammud Junaid Bocus, Yilong Zhu, Jianhao Jiao, Li Wang, Fulong Ma, Shanshan Cheng, Ming Liu. 474-479 [doi]
• Road Scene Layout Reconstruction based on CNN and its Application in Traffic SimulationChao Zhu, Yaochen Li, Yuehu Liu, Zhiqiang Tian, Zhichao Cui, Chi Zhang, Xinyu Zhu. 480-485 [doi]
• A Novel Robust Lane Change Trajectory Planning Method for Autonomous VehicleDequan Zeng, Zhuoping Yu, Lu Xiong, Junqiao Zhao, Peizhi Zhang, Zhiqiang Li, Zhiqiang Fu, Jie Yao, Yi Zhou. 486-493 [doi]
• Real-time 3D Traffic Cone Detection for Autonomous DrivingAnkit Dhall, Dengxin Dai, Luc Van Gool. 494-501 [doi]
• Generation of Scenes in Intersections for the Validation of Highly Automated Driving FunctionsStefan Jesenski, Jan Erik Stellet, Florian Schiegg, J. Marius Zöllner. 502-509 [doi]
• Improving Multi Object Tracking-By-Detection Model Using a Temporal Interlaced Encoding and a Specialized Deep DetectorAla Mhalla, Thierry Chateau. 510-516 [doi]
• An Online Multi-lidar Dynamic Occupancy Mapping MethodJiawei Huang, Mahmut Demir, Thang Lian, Kikuo Fujimura. 517-522 [doi]
• Characteristics Analysis and Classification of Lane-changing Behavior after Following Process based on China-FOTHaozhou Wei, Zhixiong Ma, Xichan Zhu, Yeting Lin. 523-528 [doi]
• Obstacle Avoidance, Path Planning and Control for Autonomous VehiclesHind Laghmara, Mohamed Boudali, Thomas Laurain, Jonathan Ledy, Rodolfo Orjuela, Jean-Philippe Lauffenburger, Michel Basset. 529-534 [doi]
• Modelling the dynamic behavior of the steering system for low speed autonomous path trackingÁdám Domina, Viktor Tihanyi. 535-540 [doi]
• Is This Car Going to Move? Parked Car Classification for Automated VehiclesKarsten Behrendt, Olivier Mangin, Namrata Bhakta, Stéphanie Lefèvre. 541-548 [doi]
• Learning a Lattice Planner Control Set for Autonomous VehiclesRyan De Iaco, Stephen L. Smith, Krzysztof Czarnecki. 549-556 [doi]
• Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable ModelYeping Hu, Wei Zhan, Liting Sun, Masayoshi Tomizuka. 557-563 [doi]
• Semantic Segmentation of Road Profiles for Efficient Sensing in Autonomous DrivingGuo Cheng, Jiang Yu Zheng, Mehmet Kilicarslan. 564-569 [doi]
• How to Evaluate Object-of-Fixation DetectionJulian Schwehr, Moritz Knaust, Volker Willert. 570-577 [doi]
• Anomaly Detection for Advanced Driver Assistance Systems Using Online Feature SelectionChristoph Segler, Stefan Kugele, Philipp Obergfell, Mohd Hafeez Osman, Sina Shafaci, Eric Sax, Alois Knoll. 578-585 [doi]
• Thin-Plate Spline-based Adaptive 3D Surround ViewIljoo Baek, Akshit Kanda, Tzu Chieh Tai, Anchan Saxena, Ragunathan Rajkumar. 586-593 [doi]
• A model predictive control-based lane merging strategy for autonomous vehiclesAnh Tuan Tran 0003, Masato Kawaguchi, Hiroyuki Okuda, Tatsuya Suzuki 0001. 594-599 [doi]
• A Framework for Traffic Light Detection and Recognition using Deep Learning and Grassmann ManifoldsAny Gupta, Ayesha Choudhary. 600-605 [doi]
• Refueling and Battery Charging Driver Assistance System for Online Operation Optimization of Connected VehiclesFranz Aubeck, Till Peter, Georg Birmes, Rene Savelsberg, Stefan Pischinger. 606-613 [doi]
• Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and CountriesNico Epple, Simone Dari, Ludwig Drees, Valentin Protschky, Andreas Riener. 614-619 [doi]
• Long-Haul Truck Scheduling with Driving Hours and Parking Availability ConstraintsFilipe Vital, Petros Ioannou. 620-625 [doi]
• Enhancing Situational Awareness and Performance of Adaptive Cruise Control through Model Predictive Control and Deep Reinforcement LearningN. Kemal Ure, Ugur Yavas, Ali Alizadeh, Can Kurtulus. 626-631 [doi]
• Benchmarking and Functional Decomposition of Automotive Lidar Sensor ModelsPhilipp Rosenberger, Martin Holder, Sebastian Hueh, Hermann Winner, Tobias Fleek, Marc René Zofka, J. Marius Zöllner, Thomas Dhondt, Benjamin Wassermann. 632-639 [doi]
• Lateral State Estimation of Preceding Target Vehicle Based on Multiple Neural Network EnsembleChengwei Li, Yafei Wang, Zhisong Zhou, Jingkai Wu, Wenqiang Jin, Chengliang Yin. 640-646 [doi]
• CNN-based Object Detection on Low Precision Hardware: Racing Car Case StudyNicolò De Rita, Alessandro Aimar, Tobi Delbrück. 647-652 [doi]
• Circular Convolutional Neural Networks for Panoramic Images and Laser DataStefan Schubert, Peer Neubert, Johannes Pöschmann, Peter Pretzel. 653-660 [doi]
• Capsule Neural Network based Height Classification using Low-Cost Automotive Ultrasonic SensorsMaximilian Pöpperl, Raghavendra Gulagundi, Senthil Yogamani, Stefan Milz. 661-666 [doi]
• Deep Active Learning for Efficient Training of a LiDAR 3D Object DetectorDi Feng, Xiao Wei, Lars Rosenbaum, Atsuto Maki, Klaus Dietmayer. 667-674 [doi]
• Beyond Bounding Boxes: Using Bounding Shapes for Real-Time 3D Vehicle Detection from Monocular RGB ImagesNils Gählert, Jun-Jun Wan, Michael Weber, J. Marius Zöllner, Uwe Franke, Joachim Denzler. 675-682 [doi]
• A Deep-Learning Approach for Parking Slot Detection on Surround-View ImagesAndrea Zinelli, Luigi Musto, Fabio Pizzati. 683-688 [doi]
• A Hierarchical Network for Diverse Trajectory ProposalsSriram N. N., Gourav Kumar, Abhay Singh, M. Siva Karthik, Saket Saurav, Brojeshwar Bhowmick, K. Madhava Krishna. 689-694 [doi]
• Graph Neural Networks for Modelling Traffic Participant InteractionFrederik Diehl, Thomas Brunner, Michael Truong Le, Alois Knoll. 695-701 [doi]
• Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial NetworksDominic Spata, Daniela Horn, Sebastian Houben. 702-708 [doi]
• Single Network Panoptic Segmentation for Street Scene UnderstandingDaan de Geus, Panagiotis Meletis, Gijs Dubbelman. 709-715 [doi]
• Forecasting Pedestrian Trajectory with Machine-Annotated Training DataOily Styles, Arun Ross, Victor Sanchez. 716-721 [doi]
• Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network EnsemblesNicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick. 722-729 [doi]
• Angular Resolution Improvement by Using Multi-Radar and FBSS MUSIC DoA Estimation AlgorithmHenna Paaso, Mervi Hirvonen. 730-735 [doi]
• Association of Straight Radar Landmarks for Vehicle Self-LocalizationKlaudius Werber, Jens Klappstein, Jtirgen Dickmann, Christian Waldschmidt. 736-743 [doi]
• Micro-Doppler Extraction of Bicycle Pedaling Movements Using Automotive RadarPatrick Held, Dagmar Steinhauser, Alexander Kamann, Andreas Koch, Thomas Brandmeier, Ulrich T. Schwarz. 744-749 [doi]
• Fast Implementation of Volumetric Occupancy GridsMichael Slutsky, Daniel Dobkin. 750-755 [doi]
• Semantic Segmentation on Automotive Radar MapsRobert Prophet, Gang Li, Christian Sturm 0005, Martin Vossiek. 756-763 [doi]
• Micro-Doppler Extraction of Pedestrian Limbs for High Resolution Automotive RadarDagmar Steinhauser, Patrick Held, Alexander Kamann, Andreas Koch, Thomas Brandmeier. 764-769 [doi]
• A Radar Measurement Model for Extended Object Tracking in Dynamic ScenariosPhilipp Berthold, Martin Michaelis, Thorsten Luettel, Daniel Meissner, Hans-Joachim Wuensche. 770-776 [doi]
• Efficient living subject localization and weak vital-sign signal enhancement using impulse radio based UWB radarQiwen Deng, Jialiang Le, Saeed Barbat, Renran Tian, Yaobin Chen. 777-782 [doi]
• Marker-less Vision-based Detection of Improper Seat Belt RoutingMichael Baltaxe, Ruben Mergui, Kobi Nistel, Gila Kamhi. 783-789 [doi]
• Regeneration and Joining of the Learned Motion Primitives for Automated Vehicle Motion Planning ApplicationsBoyang Wang, Jianwei Gong, Wenli Liang, Huiyan Chen. 790-797 [doi]
• A Driver Situational Awareness Estimation System Based on Standard Glance Model for Unscheduled Takeover SituationsHiroaki Hayashi, Mitsuhiro Kamezaki, Udara E. Manawadu, Takahiro Kawano, Takaaki Ema, Tomoya Tomita, Lollett Catherine, Shigeki Sugano. 798-803 [doi]
• Exploring the Use of Augmented Reality Interfaces for Driver Assistance in Short-Notice TakeoversPatrick Lindemann, Niklas Müller, Gerhard Rigoll. 804-809 [doi]
• Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural NetworksStefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick. 810-815 [doi]
• Opportunistic Use of In-Vehicle Wireless Networks for Vulnerable Road User InteractionPedro M. d'Orey, Pedro M. Santos 0002, José Pintor, Ana Aguiar. 816-823 [doi]
• Context-based cyclist path prediction using Recurrent Neural NetworksEwoud A. I. Pool, Julian F. P. Kooij, Dariu M. Gavrila. 824-830 [doi]
• Investigating User Requirements for Communication Between Automated Vehicles and Vulnerable Road UsersAndreas Löcken, Philipp Wintersberger, Anna-Katharina Frison, Andreas Riener. 879-884 [doi]
• Extension of the 3DCoAutoSim to Simulate Vehicle and Pedestrian Interaction based on SUMO and Unity 3DLeyre Artal-Villa, Ahmed Hussein, Cristina Olaverri-Monreal. 885-890 [doi]
• Optimal motion planning with reachable sets of vulnerable road usersMichael Hartmann, Daniel Watzenig. 891-898 [doi]
• Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded CampusDongfang Yang, Linhui Li, Keith Redmill, Ümit Özgüner. 899-904 [doi]
• Composable Q- Functions for Pedestrian Car InteractionsChristian Muench, Dariu M. Gavrila. 905-912 [doi]
• Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical AnalysisDaniela A. Ridel, Nachiket Deo, Denis F. Wolf, Mohan M. Trivedi. 913-918 [doi]
• Pedestrian Trajectory Prediction with Learning-based Approaches: A Comparative StudyYang Li, Long Xin, Dameng Yu, Pengwen Dai, Jianqiang Wang, Shengbo Eben Li. 919-926 [doi]
• DD-Pose - A large-scale Driver Head Pose BenchmarkMarkus Roth, Dariu M. Gavrila. 927-934 [doi]
• Driver Information Embedding with Siamese LSTM networksHien Q. Dang, Johannes Fürnkranz. 935-940 [doi]
• Towards Tactical Maneuver Detection for Autonomous Driving Based on Vision OnlyAntonia Breuer, Jana Kirschner, Silviu Homoceanu, Tim Fingscheidt. 941-948 [doi]
• Driving Behavior Modeling Based on Hidden Markov Models with Driver's Eye-Gaze Measurement and Ego-Vehicle LocalizationNaoki Akai, Takatsugu Hirayama, Luis Yoichi Morales, Yasuhiro Akagi, Hailong Liu, Hiroshi Murase. 949-956 [doi]
• Driving Intention Recognition and Lane Change Prediction on the HighwayTeawon Han, Junbo Jing, Ümit Özgüner. 957-962 [doi]
• Prediction of ego vehicle trajectories based on driver intention and environmental contextKatharina Gillmeier, Frederik Diederichs, Dieter Spath. 963-968 [doi]
• End-to-end Prediction of Driver Intention using 3D Convolutional Neural NetworksPatrick Gebert, Alina Roitberg, Monica Haurilet, Rainer Stiefelhagen. 969-974 [doi]
• Non-local Social Pooling for Vehicle Trajectory PredictionKaouther Messaoud, Itheri Yahiaoui, Anne Verroust-Blondet, Fawzi Nashashibi. 975-980 [doi]
• Fuzzy Controller Inference via Gradient Descent to Model the Longitudinal Behavior on Real DriversAlberto Diaz Alvarez, Francisco Serradilla Garcia, Felipe Jiménez, Edgar Talavera-Mufioz, Cristina Olaverri-Monreal. 981-986 [doi]
• Camera-Based Eye Blink Detection Algorithm for Assessing Driver DrowsinessMohamed Hedi Baccour, Frauke Driewer, Enkelejda Kasneci, Wolfgang Rosenstiel. 987-993 [doi]
• A Novel Predictive Haptic Control Interface for Automation-to-Human Takeover of Automated VehiclesYutong Li, Chen Lv, Junliang Xue. 994-999 [doi]
• Systematic Analysis of the Sensor Coverage of Automated Vehicles Using Phenomenological Sensor ModelsThomas Ponn, Fabian Müller, Frank Diermeyer. 1000-1006 [doi]
• Evaluating Machine Learning & Antenna Placement for Enhanced GNSS Accuracy for CAVsE. I. Adegoke, Jasmine Zidane, Erik Kampert, Paul A. Jennings, Col R. Ford, Stewart A. Birrell, Matthew D. Higgins. 1007-1012 [doi]
• Hybrid Online POMDP Planning and Deep Reinforcement Learning for Safer Self-Driving CarsFlorian Pusse, Matthias Klusch. 1013-1020 [doi]
• Autonomous Vehicle Path Planning Considering Dwarf or Negative ObstaclesLei Yang, Qi Wang, Yingqi Tan, Jianwei Gong. 1021-1026 [doi]
• Generating Compact Geometric Track-Maps for Train Positioning ApplicationsHanno Winter, Stefan Luthardt, Volker Willert, Jürgen Adamy. 1027-1032 [doi]
• Optimization-based Tactical Behavior Planning for Autonomous Freeway Driving in Favor of the Traffic FlowHenrik Bey, Frank Dierkes, Sebastian Bayerl, Alexander Lange, Dennis Faßbender, Jörn Thielecke. 1033-1040 [doi]
• Controllability Analysis and Optimal Controller Synthesis of Mixed Traffic SystemsJiawei Wang, Yang Zheng, Qing Xu, Jianqiang Wang, Keqiang Li. 1041-1047 [doi]
• Reactive Path Planning for Autonomous Vehicle Using Bézier Curve OptimizationJulien Moreau, Pierre Melchior, Stéphane Victor, Mathieu Moze, François Aioun, Franck Guillemard. 1048-1053 [doi]
• Pedestrian Collision Avoidance System for Scenarios with OcclusionsMarkus Schraner, Maxime Bouton, Mykel J. Kochenderfer, Daniel Watzenig. 1054-1060 [doi]
• Sampling/Importance Resampling for Semantically Consistent Synthetic to Real Image Domain Adaptation in Urban Traffic ScenesArtem Savkin, Monika Kasperek, Federico Tombari. 1061-1068 [doi]
• Ecological NMPC Controller for Connected and Automated Plug-in Hybrid Electric Vehicles at RoundaboutsSina Alighanbari, Nasser L. Azad. 1069-1074 [doi]
• Motion Planning Framework for Autonomous Vehicles: A Time Scaled Collision Cone Interleaved Model Predictive Control ApproachRaghu Ram Theerthala, A. V. S. Sai Bhargav Kumar, Mithun Babu, S. Phaniteja, K. Madhava Krishna. 1075-1080 [doi]
• Give Me Two Points and I'll Tell You Who You AreEkler P. de Mattos, Augusto C. S. A. Domingues, Antonio A. F. Loureiro. 1081-1087 [doi]
• A Novel Traffic Light Control Strategy With a Reconfigured Stop LineJinyan Ji, Jiabao Zhao, Hao Sun. 1088-1092 [doi]
• Comparing Different On-Street Parking Information for Parking Guidance and Information SystemsSergio Di Martino, Vincenzo Norman Vitale, Fabian Bock. 1093-1098 [doi]
• Space-Efficient Traffic Protocols for Intelligent CrossroadsDaniel Markert, Alejandro Masrur. 1099-1104 [doi]
• Novel Context-aware Classification for Highly Accurate Automatic Toll CollectionMarouan Khata, Nadiya Shvai, Abul Hasnat, Arcadi Llanza, Assan Sanogo, Antoine Meicler, Amir Nakib. 1105-1110 [doi]
• Designing an IoT Framework for Automated Driving Impact AnalysisFrancesco Bellotti, Riccardo Berta, Ahmad Hassan Kobeissi, Nisrine Osman, Eduardo Arnold, Mehrdad Dianati, Ben Nagy, Alessandro De Gloria. 1111-1117 [doi]
• A Tight Coupling of Vision-Lidar Measurements for an Effective OdometryYoung-Woo Seo, Chih-Chung Chou. 1118-1123 [doi]
• VIZARD: Reliable Visual Localization for Autonomous Vehicles in Urban Outdoor EnvironmentsMathias Bürki, Lukas Schaupp, Marcin Dymczyk, Renaud Dubé, Cesar Cadena, Roland Siegwart, Juan I. Nieto 0001. 1124-1130 [doi]
• Incrementally learned Mixture Models for GNSS LocalizationTim Pfeifer, Peter Protzel. 1131-1138 [doi]
• Multisensor Fusion Localization using Extended H∞Filter using Pre-filtered Sensors MeasurementsMostafa Osman, Ricardo Alonso, Ahmed Hammam, Francisco Miguel Moreno, Abdulla Al-Kaff, Ahmed Hussein. 1139-1144 [doi]
• Real-Time Pose Graph SLAM based on RadarMartin Holder, Sven Hellwig, Hermann Winner. 1145-1151 [doi]
• Ground Truth Generation for Quantitative Performance Evaluation of Localization Methods in Urban AreasYuichi Takeda, Chikao Tsuchiya, Abdelaziz Khiat. 1152-1158 [doi]
• A Self-Localization Method for Urban Environments using Vehicle-Body-Embedded Off-the-Shelf SensorsChikao Tsuchiya, Yuichi Takeda, Abdelaziz Khiat. 1159-1165 [doi]
• Identifying robust landmarks in feature-based mapsJulie Stephany Berrio, James R. Ward, Stewart Worrall, Eduardo M. Nebot. 1166-1172 [doi]
• Updating the visibility of a feature-based map for long-term maintenanceJulie Stephany Berrio, James R. Ward, Stewart Worrall, Eduardo M. Nebot. 1173-1179 [doi]
• Map Switching Monte Carlo LiDAR Localization for Automated Driving in Parking GaragesBirgit Henke, Johann Nikolai Hark, Daniel Becker 0004, Oliver Sawade, Ilja Radusch. 1180-1185 [doi]
• Accurate Global Trajectory Alignment using Poles and Road MarkingsHaohao Hu, Marc Sons, Christoph Stiller. 1186-1191 [doi]
• On Ambiguities in Feature-Based Vehicle Localization and their A Priori Detection in MapsIsabell Hofstetter, Michael Sprunk, Frank Schuster, Florian Ries, Martin Haueis. 1192-1198 [doi]
• Urban Localization with Street Views using a Convolutional Neural Network for End-to-End Camera Pose RegressionGuillaume Bresson, Li Yu, Cyril Joly, Fabien Moutarde. 1199-1204 [doi]
• DL-SLAM: Direct 2.5D LiDAR SLAM for Autonomous DrivingJun Li, Junqiao Zhao, Yuchen Kang, Xudong He, Chen Ye, Lu Sun. 1205-1210 [doi]
• Crowdsourced HD Map Patches Based on Road Model Inference and Graph-Based SLAMMartin Liebner, Dominik Jain, Julian Schauseil, David Pannen, Andreas Hackelöer. 1211-1218 [doi]
• Pose and covariance matrix propagation issues in cooperative localization with LiDAR perceptionElwan Héry, Philippe Xu, Philippe Bonnifait. 1219-1224 [doi]
• Estimating the reliability of georeferenced lane markings for map-aided localizationAnthony Welte, Philippe Xu, Philippe Bonnifait, Clément Zinoune. 1225-1231 [doi]
• High Integrity Localization With Multi-Lane Camera MeasurementsJoelle Al Hage, Philippe Xu, Philippe Bonnifait. 1232-1238 [doi]
• Real-time Adaptive UWB Positioning System Enhanced by Sensor Fusion for Multiple Targets DetectionBenny Wijaya, Nanshan Deng, Kun Jiang, Ruidong Yan, Diange Yang. 1239-1246 [doi]
• Metrics for the Evaluation of localisation RobustnessSiqi Yi, Stewart Worrall, Eduardo M. Nebot. 1247-1253 [doi]
• Accurate Elevation Maps based Graph-Slam Framework for Autonomous DrivingMohammad Aldibaja, Ryo Yanase, Tae-Hyon Kim, Akisue Kuramoto, Keisuke Yoneda, Noaki Suganuma. 1254-1261 [doi]
• 3D Semantic Modelling With Label Correction For Extensive Outdoor SceneYuhao Chen, Ming Yang 0002, Chunxiang Wang, Bing Wang 0006. 1262-1267 [doi]
• GNSS NLOS Signal Modeling and Quantification Method in Railway Urban Canyon EnvironmentShuxian Jiang, Debiao Lu, Baigen Cai. 1268-1273 [doi]
• Graph Matching Pose SLAM based on Road Network InformationLei He, Ming Yang 0002, Hao Li 0024, Yuesheng He, Bing Wang 0006, Chunxiang Wang. 1274-1279 [doi]
• Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object DetectionDi Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer. 1280-1287 [doi]
• Real-time 3D LiDAR Flow for Autonomous VehiclesStefan A. Baur, Frank Moosmann, Sascha Wirges, Christoph B. Rist. 1288-1295 [doi]
• Easy auto-calibration of sensors on a vehicle equipped with multiple 2D-LIDARs and camerasEric Royer, Morgan Slade, Michel Dhome. 1296-1303 [doi]
• Evidential deep learning for arbitrary LIDAR object classification in the context of autonomous drivingEdouard Capellier, Franck Davoine, Véronique Cherfaoui, You Li. 1304-1311 [doi]
• Bridging the Day and Night Domain Gap for Semantic SegmentationEduardo Romera, Luis Miguel Bergasa, Kailun Yang, Jose M. Alvarez, Rafael Barea. 1312-1318 [doi]
• Training Object Detectors With Noisy DataSimon Chadwick, Paul Newman 0001. 1319-1325 [doi]
• Learning Interaction-Aware Probabilistic Driver Behavior Models from Urban ScenariosJens Schulz, Constantin Hubmann, Nikolai Morin, Julian Löchner, Darius Burschka. 1326-1333 [doi]
• On Boosting Semantic Street Scene Segmentation with Weak SupervisionPanagiotis Meletis, Gijs Dubbelman. 1334-1339 [doi]
• Toward Modularization of Neural Network Autonomous Driving Policy Using Parallel Attribute NetworksZhuo Xu, Haonan Chang, Chen Tang, Changliu Liu, Masayoshi Tomizuka. 1400-1407 [doi]
• Image Detector Based Automatic 3D Data Labeling and Training for Vehicle Detection on Point CloudZhengyong Chen, Qinghai Liao, Zhe Wang, Yang Liu, Ming Liu 0001. 1408-1413 [doi]
• Unconstrained Road Marking Recognition with Generative Adversarial NetworksYounkwan Lee, Juhyun Lee, Yoojin Hong, YeongMin Ko, Moongu Jeon. 1414-1419 [doi]
• SteeringLoss: Theory and Application for Steering PredictionWei Yuan, Ming Yang 0002, Chunxiang Wang, Bing Wang 0006. 1420-1425 [doi]
• FANTrack: 3D Multi-Object Tracking with Feature Association NetworkErkan Baser, Venkateshwaran Balasubramanian, Prarthana Bhattacharyya, Krzysztof Czarnecki. 1426-1433 [doi]
• An LSTM Network for Real-Time Odometry EstimationMichelle Valente, Cyril Joly, Arnaud de La Fortelle. 1434-1440 [doi]
• Semantic Segmentation of Video Sequences with Convolutional LSTMsAndreas Pfeuffer, Karina Schulz, Klaus Dietmayer. 1441-1447 [doi]
• Learning A Recurrent Neural Network for State Estimation using Filtered Sensory DataAhmed Hammam, Mohamed A. Abdelhady, Omar M. Shehata, Elsayed I. Morgan. 1448-1453 [doi]
• Continuous Control for Automated Lane Change Behavior Based on Deep Deterministic Policy Gradient AlgorithmPin Wang, Hanhan Li, Ching-Yao Chan. 1454-1460 [doi]
• Multi-Agent Reinforcement Learning for Autonomous On Demand VehiclesAli Boyali, Naohisa Hashimoto, Vijay John, Tankut Acarman. 1461-1468 [doi]
• Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban EnvironmentsMaxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer. 1469-1476 [doi]
• Extended Vehicle Tracking with Probabilistic Spatial Relation Projection and Consideration of Shape Feature UncertaintiesMao Shan, Charika De Alvis, Stewart Worrall, Eduardo M. Nebot. 1477-1483 [doi]
• LIDAR-Based road signs detection For Vehicle Localization in an HD MapFarouk Ghallabi, Ghayath El-Haj-Shhade, Marie-Anne Mittet, Fawzi Nashashibi. 1484-1490 [doi]
• Supervised Learning for Semantic Segmentation of 3D LiDAR DataJilin Mei, Jiayu Chen, Wen Yao, Xijun Zhao, Huijing Zhao. 1491-1498 [doi]
• A Novel Dual-Lidar Calibration Algorithm Using Planar SurfacesJianhao Jiao, Qinghai Liao, Yilong Zhu, Tianyu Liu, Yang Yu, Rui Fan, Lujia Wang, Ming Liu 0001. 1499-1504 [doi]
• Off-Road Drivable Area Extraction Using 3D LiDAR DataBiao Gao, Anran Xu, Yancheng Pan, Xijun Zhao, Wen Yao, Huijing Zhao. 1505-1511 [doi]
• CNN-based synthesis of realistic high-resolution LiDAR dataLarissa T. Triess, David Peter, Christoph B. Rist, Markus Enzweiler, J. Marius Zöllner. 1512-1519 [doi]
• Capturing Object Detection Uncertainty in Multi-Layer Grid MapsSascha Wirges, Marcel Reith-Braun, Martin Lauer, Christoph Stiller. 1520-1526 [doi]
• Weather Influence and Classification with Automotive Lidar SensorsRobin Heinzler, Philipp Schindler, Jürgen Seekircher, Werner Ritter, Wilhelm Stork. 1527-1534 [doi]
• Cross-Sensor Deep Domain Adaptation for LiDAR Detection and SegmentationChristoph B. Rist, Markus Enzweiler, Dariu M. Gavrila. 1535-1542 [doi]
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• An Approach for a Requirement Analysis for an Autonomous Family VehicleTobias Schräder, Torben Stolte, Inga Jatzkowski, Robert Graubohm, Markus Maurer. 1597-1603 [doi]
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• Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement LearningJulian Bernhard, Stefan Pollok, Alois Knoll. 2148-2155 [doi]
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• Performance Optimization of Autonomous Platforms in Unstructured Outdoor Environments Using a Novel Constrained Planning ApproachNina Heide, Alexander Albrecht, Thomas Emter, Janko Petereit. 2359-2364 [doi]
• An Attention-based Recurrent Convolutional Network for Vehicle Taillight RecognitionKuan-Hui Lee, Takaaki Tagawa, Jia-En M. Pan, Adrien Gaidon, Bertrand Douillard. 2365-2370 [doi]
• A Human Factors Approach to Defining Requirements for Low-speed Autonomous Vehicles to Enable Intelligent PlatooningRoger Woodman, Ke Lu, Matthew D. Higgins, Simon Brewerton, Paul A. Jennings, Stewart A. Birrell. 2371-2376 [doi]
• Scene-Guided Region Proposal Re-ranking Method for On-road Vehicle Candidate GenerationZhixiong Nan, Yang Feng, Jiawei He, Ping Wei, Linhai Xu, Hongbin Sun 0001, Nanning Zheng. 2377-2382 [doi]
• From Functional to Logical Scenarios: Detailing a Keyword-Based Scenario Description for Execution in a Simulation EnvironmentTill Menzel, Gerrit Bagschik, Leon Isensee, Andre Schomburg, Markus Maurer. 2383-2390 [doi]
• Large-Scale extraction of accurate vehicle trajectories for driving behavior learningAubrey Clausse, Salma Benslimane, Arnaud de La Fortelle. 2391-2396 [doi]
• Dynamic Real-time Multimodal Routing with Hierarchical Hybrid PlanningShushman Choudhury, Jacob P. Knickerbocker, Mykel J. Kochenderfer. 2397-2404 [doi]
• Reference Path Correction for Autonomous Ground Vehicles Driving Over Rough TerrainShaobo Wang, Pan Zhao, Yanghao Zheng, Biao Yu, Weixin Huang, Hui Zhu, Huawei Liang. 2405-2410 [doi]
• An Adaptive Path Tracking Controller Based on Reinforcement Learning with Urban Driving ApplicationLongsheng Chen, Yuanpeng Chen, Xiangtong Yao, Yunxiao Shan, Long Chen 0005. 2411-2416 [doi]
• Service Discovery for the Connected Car with Semantic AccessorsMatthew Weber, Ravi Akella, Edward A. Lee. 2417-2422 [doi]
• Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep NetworksRodolfo Valiente, Mahdi Zaman, Sedat Ozer, Yaser P. Fallah. 2423-2428 [doi]
• Research of Path Planning Model Based on Hotspots EvaluationLingqiu Zeng, Ke Zhang, Qingwen Han, Siru Chen, Lei Ye, Ruimei Wang, Jianmei Lei, Qinglong Xie. 2429-2434 [doi]
• An Efficient Requirement-Aware Attachment Policy for Future Millimeter Wave Vehicular NetworksDavide Peron, Marco Giordani, Michele Zorzi. 2435-2442 [doi]
• Field Operational Test of V2V between Tramcars and Cars 'Towards Automated Driving SystemHideaki Nanba, Takeo Kawai, Manabu Sawada, Md. Shoaib Bhuiyan, Koji Oguri. 2443-2449 [doi]
• Simulated Basic Safety Message: Concept & ApplicationSuryansh Saxena, Isaac K. Isukapati. 2450-2456 [doi]
• Fitting Cornering Speed Models with One-Class Support Vector MachinesJames Fleming, Xingda Yan, Roberto Lot. 2457-2462 [doi]
• Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and ClassificationFriedrich Kruber, Jonas Wurst, Eduardo Sánchez Morales, Samarjit Chakraborty, Michael Botsch. 2463-2470 [doi]
• A New Causal Direction Reasoning Method for Decision Making on Noisy DataBoxu Zhao, GuiMing Luo. 2471-2476 [doi]
• Wasserstein Generative Learning with Kinematic Constraints for Probabilistic Interactive Driving Behavior PredictionHengbo Ma, Jiachen Li, Wei Zhan, Masayoshi Tomizuka. 2477-2483 [doi]
• Cooperative Object Classification for Driving ApplicationsEduardo Arnold, Omar Y. Al-Jarrah, Mehrdad Dianati, Saber Fallah, David Oxtoby, Alex Mouzakitis. 2484-2489 [doi]
• Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential FrameworkDaniel Bauer, Lars Kuhnert, Lutz Eckstein. 2490-2495 [doi]
• Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative ModelingJiachen Li, Hengbo Ma, Wei Zhan, Masayoshi Tomizuka. 2496-2503 [doi]
• SSeg-LSTM: Semantic Scene Segmentation for Trajectory PredictionArsal Syed, Brendan Tran Morris. 2504-2509 [doi]
• RoarNet: A Robust 3D Object Detection based on RegiOn Approximation RefinementKiwoo Shin, Youngwook Paul Kwon, Masayoshi Tomizuka. 2510-2515 [doi]
• Enhanced Object Detection in Bird's Eye View Using 3D Global Context Inferred From Lidar Point DataYecheol Kim, Jaekyum Kim, Junho Koh, Jun Won Choi. 2516-2521 [doi]
• Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle PerceptionBraden Hurl, Krzysztof Czarnecki, Steven L. Waslander. 2522-2529 [doi]
• Jointly Detecting and Retrieving Vehicles from Road Image Sequences based on CNNXiao Wu, Yaochen Li, Yuehu Liu, Shanmin Pang, Le Wang 0003, Chuan Wu, Huihui Huo. 2530-2535 [doi]
• Enhanced free space detection in multiple lanes based on single CNN with scene identificationFabio Pizzati, Fernando García. 2536-2541 [doi]
• Instance Stixels: Segmenting and Grouping Stixels into ObjectsThomas M. Hehn, Julian F. P. Kooij, Dariu M. Gavrila. 2542-2549 [doi]
• Ego-motion and Surrounding Vehicle State Estimation Using a Monocular CameraJun Hayakawa, Behzad Dariush. 2550-2556 [doi]
• Global and Local Multi-scale Feature Fusion for Object Detection and Semantic SegmentationYoung-Chul Lim, Minsung Kang. 2557-2562 [doi]
• PointLaneNet: Efficient end-to-end CNNs for Accurate Real-Time Lane DetectionZhenpeng Chen, Qianfei Liu, Chenfan Lian. 2563-2568 [doi]
• Robust 3D Perception for any Environment and any Weather Condition using Thermal StereoSeiichi Mita, Yuquan Xu, Kazuhisa Ishimaru, Sakiko Nishino. 2569-2574 [doi]
• Efficient Instance and Semantic Segmentation for Automated DrivingAndra Petrovai, Sergiu Nedevschi. 2575-2581 [doi]