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ORCID34th IV 2023: Anchorage, AK, USA
- IEEE Intelligent Vehicles Symposium, IV 2023, Anchorage, AK, USA, June 4-7, 2023. IEEE 2023, ISBN 979-8-3503-4691-6
- Jo Laufenberg, Susanne Throner, Thomas Kropf, Oliver Bringmann:
Attack Simulation and Adaptation in CAN for Training and Evaluation of IDS. 1-6 - Tobias Betz
, Maximilian Schmeller, Andreas Korb, Johannes Betz:
Latency Measurement for Autonomous Driving Software Using Data Flow Extraction. 1-8 - Cecilia Latotzke, Amarin Kloeker, Simon Schoening, Fabian Kemper, Mazen Slimi, Lutz Eckstein, Tobias Gemmeke:
FPGA-based Acceleration of Lidar Point Cloud Processing and Detection on the Edge. 1-8 - Robin Kensbock, Maryam Nezami, Georg Schildbach:
Scenario-Based Decision-Making, Planning and Control for Interaction-Aware Autonomous Driving on Highways. 1-6 - Reshu Verma, Vishnu V. S, Kotaro Kataoka:
Verifiable and Robust Monitoring and Alerting System for Road Safety by AI based Consensus Development on Blockchain. 1-8 - George Eskandar, Diandian Guo, Karim Guirguis, Bin Yang:
Towards Pragmatic Semantic Image Synthesis for Urban Scenes. 1-8 - Jiangbo Gabe Yu, Michael F. Hyland, Anthony Chen:
Improving Infrastructure and Community Resilience with Shared Autonomous Electric Vehicles (SAEV-R). 1-6 - Zhe Fu, Abdul Rahman Kreidieh, Han Wang, Jonathan W. Lee, Maria Laura Delle Monache, Alexandre M. Bayen:
Cooperative Driving for Speed Harmonization in Mixed-Traffic Environments. 1-8 - Mikihiro Ikura, Florian Walter, Alois Knoll:
Spiking Neural Networks for Robust and Efficient Object Detection in Intelligent Transportation Systems With Roadside Event-Based Cameras. 1-6 - Matteo Frosi, Matteo Matteucci:
D3VIL-SLAM: 3D Visual Inertial LiDAR SLAM for Outdoor Environments. 1-7 - Daniel Bogdoll, Svenja Uhlemeyer, Kamil Kowol, J. Marius Zöllner:
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey. 1-8 - Alireza Rahimpour, Navid Fallahinia, Devesh Upadhyay, Justin Miller:
Deer in the headlights: FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving. 1-6 - Enrico Del Re, Cristina Olaverri-Monreal:
Method for Comparison of Surrogate Safety Measures in Multi-Vehicle Scenarios. 1-6 - Sajeel Ahmed, Ousama Esbel, Max Mühlhäuser, Alejandro Sánchez Guinea:
Towards Continual Knowledge Learning of Vehicle CAN-data. 1-6 - Silvia Thal, Philip Wallis, Roman Henze, Ryo Hasegawa, Hiroki Nakamura, Sou Kitajima, Genya Abe:
Towards Realistic, Safety-Critical and Complete Test Case Catalogs for Safe Automated Driving in Urban Scenarios. 1-8 - Clovis Eberhart, Jérémy Dubut, James Haydon, Ichiro Hasuo:
Formal Verification of Safety Architectures for Automated Driving. 1-8 - Thomas Boot, Nicolas Cazin, Willem P. Sanberg, Joaquin Vanschoren:
Efficient-DASH: Automated Radar Neural Network Design Across Tasks and Datasets. 1-7 - Rainer Trauth, Marc Kaufeld, Maximilian Geisslinger, Johannes Betz:
Learning and Adapting Behavior of Autonomous Vehicles through Inverse Reinforcement Learning. 1-8 - Rui Oliveira, Siddharth H. Nair, Bo Wahlberg:
Interaction and Decision Making-aware Motion Planning using Branch Model Predictive Control. 1-8 - Hendrik Weber, Christoph Glasmacher, Michael Schuldes, Nicolas Wagener, Lutz Eckstein:
Holistic Driving Scenario Concept for Urban Traffic. 1-8 - Canhui Tang, Yiheng Li, Shaoyi Du, Guofa Wang, Zhiqiang Tian:
HD2Reg: Hierarchical Descriptors and Detectors for Point Cloud Registration. 1-6 - Markus Schön, Michael Buchholz, Klaus Dietmayer:
RT-K-Net: Revisiting K-Net for Real-Time Panoptic Segmentation. 1-7 - Agapius Bou Ghosn, Marcus Nolte, Philip Polack, Arnaud de La Fortelle, Markus Maurer:
Robust LSTM-based Vehicle Velocity Observer for Regular and Near-limits Applications. 1-6 - Daniel Sagmeister, Dominik Schörkhuber, Matej Nezveda, Fabian Stiedl, Maria Schimkowitsch, Margrit Gelautz:
Transfer Learning for Driver Pose Estimation from Synthetic Data. 1-7 - Fritz Haas, Martin Stellmacher, Michael Pätzold, Ahmed Hussein, Elmar Matthes:
Adversarial Attacks on Deep Learning Visual Object Detectors: Optimization and Evaluation of Physical Attack Vectors using YOLOv4. 1-6 - Yukiya Fukuda, Yuya Mii, Yuga Yano, Hidenari Iwai, Shintaro Inoue, Hakaru Tamukoh:
Dense Traversability Estimation System for Extreme Environments. 1-6 - Mihreteab Negash Geletu, Danut-Vasile Giurgi, Thomas Josso-Laurain, Maxime Devanne, Mengesha Mamo Wogari, Jean-Philippe Lauffenburger:
Evidential deep learning-based multi-modal environment perception for intelligent vehicles. 1-6 - Rhys Howard, Lars Kunze:
Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour. 1-8 - Zo A. T. Rakotoniaina, Nacer Eddine Chelbi, Denis Gingras, Frédéric Faulconnier:
LIV-DeepSORT: Optimized DeepSORT for Multiple Object Tracking in Autonomous Vehicles Using Camera and LiDAR Data Fusion. 1-7 - Yusuke Inagaki, Akihiro Nakao:
Multi-layer Edge Computing for Cooperative Driving Control Optimization in Smart Cities. 1-8 - Antonello Cherubini, Gastone Pietro Rosati Papini, Alice Plebe, Mauro Da Lio:
Energy Costs of Safe Speed Policies in a Pedestrian-crossing Scenario. 1-6 - Marc Alexander Kühn, Daniel Omeiza, Lars Kunze:
Textual Explanations for Automated Commentary Driving. 1-6 - David Hermann, Granit Tejeci, Clara Marina Martinez, Gereon Hinz, Alois Knoll:
Automated Sensor Performance Evaluation of Robot-Guided Vehicles for High Dynamic Tests. 1-8 - Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk:
Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction. 1-8 - Pradeep Sharma Oruganti, Eeshan Deosthale, Cristhian Lizarazo Jimenez:
Assessing safe autonomous vehicle behavior via large scale traffic simulation. 1-7 - Xiao Wang, Xiaodong Deng, Yingxiang Li, Shitao Chen, Longjun Liu, Nanning Zheng:
Design Hybrid Computing Architecture for Accelerating Point Cloud Registration. 1-7 - Julian Schmidt, Thomas Monninger, Julian Jordan, Klaus Dietmayer:
LMR: Lane Distance-Based Metric for Trajectory Prediction. 1-6 - Shian Wang:
A Novel Framework for Modeling and Synthesizing Stealthy Cyberattacks on Driver-Assist Enabled Vehicles. 1-6 - Thomas Genevois, Anne Spalanzani, Christian Laugier:
Interaction-aware Predictive Collision Detector for Human-aware Collision Avoidance. 1-7 - Anne van der Heide, Chris M. J. Tampère, Mike Nicolai:
Deep Learning Highway Traffic Scenario Construction with Trajectory Generators. 1-8 - Yixuan Xu, Hamidreza Fazlali, Yuan Ren, Bingbing Liu:
AOP-Net: All-in-One Perception Network for LiDAR-based Joint 3D Object Detection and Panoptic Segmentation. 1-7 - Mathieu Randon, Benjamin Quost, Dirk von Wissel, Nassim Boudaoud:
Robust Consumption Planning from Uncertain Power Demand Predictions. 1-7 - Fan Yang, Xueyuan Li, Qi Liu, Chaoyang Liu, Zirui Li, Yong Liu:
Filling Action Selection Reinforcement Learning Algorithm for Safer Autonomous Driving in Multi-Traffic Scenes. 1-7 - Max Winkelmann, Constantin Vasconi, Steffen Müller:
Vectorized Scenario Description and Motion Prediction for Scenario-Based Testing. 1-6 - Ziang Zhang, Ziyi Zou, Xiang Li, Mingyi Wang, Yixu Wang, Xiaoqing Guan, You Wang, Guang Li:
Path Planning for Autonomous Driving with Curvature-considered Quadratic Optimization. 1-7 - Yuning Wang, Zhiyuan Liu, Haotian Lin, Jinhao Li, Ruochen Li, Jianqiang Wang:
VIF-GNN: A Novel Agent Trajectory Prediction Model based on Virtual Interaction Force and GNN. 1-7 - Sumit Jha, Isaac Brooks, Soumitry J. Ray, Rajesh Narasimha, Naofal Al-Dhahir, Carlos Busso:
Seatbelt Segmentation Using Synthetic Images. 1-6 - Ángel Madridano Carrasco, Delgermaa Gankhuyag, Miguel Ángel de Miguel Paraiso, Martin Palos Lorite, Cristina Olaverri-Monreal, Abdulla Al-Kaff:
Evaluating the acceptance of autonomous vehicles in the future. 1-6 - Léo Mendiboure, Mohamed Lamine Benzagouta, Dominique Gruyer, Tidiane Sylla, Morayo Adedjouma, Abdelmename Hedhli:
Operational Design Domain for Automated Driving Systems: Taxonomy Definition and Application. 1-6 - Runjia Du, Kyungtae Han, Rohit Gupta, Sikai Chen, Samuel Labi, Ziran Wang:
Driver Monitoring-Based Lane-Change Prediction: A Personalized Federated Learning Framework. 1-7 - Farhad Dalirani, Farzan Heidari, Taufiq Rahman, Daniel Singh Cheema, Michael A. Bauer:
Automatic Extrinsic Calibration of Thermal Camera and LiDAR for Vehicle Sensor Setups. 1-7 - Patrick Scheffe, Bassam Alrifaee:
A Scaled Experiment Platform to Study Interactions Between Humans and CAVs. 1-6 - Manuel Martin, David Lerch, Michael Voit:
Viewpoint Invariant 3D Driver Body Pose-Based Activity Recognition. 1-6 - Ivana Shopovska, Jan Aelterman, David Van Hamme, Wilfried Philips:
Low-Complexity Deep HDR Fusion And Tone Mapping for Urban Traffic Scenes. 1-6 - Daegyu Lee, Hyunwoo Nam, Chanhoe Ryu, Sungwon Nah, David Hyunchul Shim:
Resilient Navigation Based on Multimodal Measurements and Degradation Identification for High-Speed Autonomous Race Cars. 1-8 - Chenkai Zhang, Daisuke Deguchi, Hiroshi Murase:
Refined Objectification for Improving End-to-End Driving Model Explanation Persuasibility*. 1-6 - T. M. J. T. Baltussen, Mithun Goutham, Meghna Menon, Sarah G. Garrow, Mario A. Santillo, Stephanie Stockar:
A Parallel Monte-Carlo Tree Search-Based Metaheuristic For Optimal Fleet Composition Considering Vehicle Routing Using Branch & Bound. 1-6 - Yuning Qiu, Teruhisa Misu, Carlos Busso:
Example-Based Query To Identify Causes of Driving Anomaly with Few Labeled Samples. 1-7 - Dianwei Chen, Ekim Yurtsever, Keith A. Redmill, Ümit Özgüner:
Using Collision Momentum in Deep Reinforcement Learning based Adversarial Pedestrian Modeling. 1-6 - Mariella Dreissig, Dominik Scheuble, Florian Piewak, Joschka Boedecker:
Survey on LiDAR Perception in Adverse Weather Conditions. 1-8 - Keigo Hariya, Hiroki Inoshita, Keisuke Yoneda, Ryo Yanase, Kota Ishii, Naoki Suganuma:
ExistenceMap-PointPillars: A Multi-Fusion Network for Stable 3D Object Detection with Pseudo 2D Maps. 1-7 - Yueyang Wang, Aravinda Ramakrishnan Srinivasan, Jussi P. P. Jokinen, Antti Oulasvirta, Gustav Markkula:
Modeling human road crossing decisions as reward maximization with visual perception limitations. 1-6 - Karthikeyan Chandra Sekaran, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick:
Metric Learning Based Class Specific Experts for Open-Set Recognition of Traffic Participants in Urban Areas Using Infrastructure Sensors. 1-8 - Laurent Kloeker, Chenghua Liu, Chao Wei, Lutz Eckstein:
Framework for Quality Evaluation of Smart Roadside Infrastructure Sensors for Automated Driving Applications. 1-7 - Chang Huang, Junqiao Zhao, Hongtu Zhou, Hai Zhang, Xiao Zhang, Chen Ye:
Multi-agent Decision-making at Unsignalized Intersections with Reinforcement Learning from Demonstrations. 1-6 - Fatemeh Koochaki, Zhaobo K. Zheng, Kumar Akash, Teruhisa Misu:
Learn-able Evolution Convolutional Siamese Neural Network for Adaptive Driving Style Preference Prediction. 1-7 - Kenichi Takasaki, Yuka Sasaki, Shoichiro Watanabe, Yasutaka Nishimura, Mari Abe:
GAN-based EEG Forecasting for Attaining Driving Operations. 1-7 - Krispin Raich, Robert Kathrein, Mario Döller:
Evidence Based Trust Scoring for Multimodal VANET Applications. 1-6 - Jürgen Pichen, Nikol Figalová, Martin Baumann:
Safe Decision Or Collision? Using Natural Habituated Interfaces to Increase Traffic Safety. 1-8 - Sven Teufel, Jörg Gamerdinger, Georg Volk, Christoph Gerum, Oliver Bringmann:
Enhancing Robustness of LiDAR-Based Perception in Adverse Weather using Point Cloud Augmentations. 1-6 - Jeldrik Axmann, Rozhin Moftizadeh, Jingyao Su, Benjamin Tennstedt, Qianqian Zou, Yunshuang Yuan, Dominik Ernst, Hamza Alkhatib, Claus Brenner, Steffen Schön:
LUCOOP: Leibniz University Cooperative Perception and Urban Navigation Dataset. 1-8 - Zhouqiao Zhao, Zhensong Wei, Danyang Tian, Bryan Reimer, Pnina Gershon, Ehsan Moradi-Pari:
End-to-End Spatio-Temporal Attention-Based Lane-Change Intention Prediction from Multi-Perspective Cameras. 1-8 - Long Wen, Markus Rickert, Fengjunjie Pan, Jianjie Lin, Alois Knoll:
Bare-Metal vs. Hypervisors and Containers: Performance Evaluation of Virtualization Technologies for Software-Defined Vehicles. 1-8 - Jung Im Choi, Qing Tian:
Visual-Saliency-Guided Channel Pruning for Deep Visual Detectors in Autonomous Driving. 1-6 - Yuting Zhao, Xinyu Zhang, Shiyan Zhang, Shaoting Qiu, Haojie Yin, Xu Zhang:
HPCR-VI: Heterogeneous point cloud registration for vehicle-infrastructure collaboration. 1-6 - Chi Zhang, Amir Hossein Kalantari, Yue Yang, Zhongjun Ni, Gustav Markkula, Natasha Merat, Christian Berger:
Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings. 1-8 - Jens-Patrick Langstrand, Hans Olav Randem, Harald P.-J. Thunem, Mario Hoffmann:
Using Deep Learning to classify road surface conditions and to estimate the coefficient of friction. 1-8 - Parth Ganeriwala, Siddhartha Bhattacharyya, Raja Muthalagu:
Cross Dataset Analysis and Network Architecture Repair for Autonomous Car Lane Detection*. 1-6 - Marvin Klimke, Benjamin Völz, Michael Buchholz:
Automatic Intersection Management in Mixed Traffic Using Reinforcement Learning and Graph Neural Networks. 1-8 - Sever Topan, Yuxiao Chen, Edward Schmerling, Karen Leung, Jonas Nilsson, Michael Cox, Marco Pavone:
Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition. 1-8 - Alexander Tsaregorodtsev, Adrian Holzbock, Jan Strohbeck, Michael Buchholz, Vasileios Belagiannis:
Automated Static Camera Calibration with Intelligent Vehicles. 1-7 - Manuel Schwonberg, Fadoua El Bouazati, Nico M. Schmidt, Hanno Gottschalk:
Augmentation-based Domain Generalization for Semantic Segmentation. 1-8 - Ching Lin Kuan, Kohei Honda, Hiroyuki Okuda, Tatsuya Suzuki:
Multi-Horizon and Multi-Rate Model Predictive Control for Integrated Longitudinal and Lateral Vehicle Control. 1-8 - Eunjeong Hyeon, Dominik Karbowski, Aymeric Rousseau:
Decision-Making Strategy Using Multi-Agent Reinforcement Learning for Platoon Formation in Agreement-Seeking Cooperation. 1-6 - Apoorv Singh:
Vision-RADAR fusion for Robotics BEV Detections: A Survey. 1-7 - Eivind Meyer, Maurice Brenner, Bowen Zhang, Max Schickert, Bilal Musani, Matthias Althoff:
Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-Geometric. 1-8 - Christian Berger, Lukas Birkemeyer:
ZEBRA: Z-order Curve-based Event Retrieval Approach to Efficiently Explore Automotive Data. 1-7 - Markus Ziegler, Vishal Mhasawade, Martin Köppel, Philipp Neumaier, Volker Eiselein:
A Comprehensive Framework for Evaluating Vision-Based on-Board Rail Track Detection. 1-8 - Richard Schubert, Marcus Nolte, Arnaud de La Fortelle, Markus Maurer:
ODD-Centric Contextual Sensitivity Analysis Applied To A Non-Linear Vehicle Dynamics Model. 1-8 - Arya Rachman, Jürgen Seiler, André Kaup:
End-to-End Lidar-Camera Self-Calibration for Autonomous Vehicles. 1-6 - Eunhyek Joa, Hotae Lee, Eric Yongkeun Choi, Francesco Borrelli:
Energy-Efficient Lane Changes Planning and Control for Connected Autonomous Vehicles on Urban Roads. 1-6 - Iuliia Kotseruba, Amir Rasouli:
Intend-Wait-Perceive-Cross: Exploring the Effects of Perceptual Limitations on Pedestrian Decision-Making. 1-6 - Vishnu Renganathan, Qadeer Ahmed:
Vulnerability Analysis of Highly Automated Vehicular Systems Using Structural Redundancy. 1-7 - Jacopo Guanetti, Yeojun Kim, Xu Shen, Joel Donham, Santosh Alexander, Bruce Wootton, Francesco Borrelli:
Increasing Electric Vehicles Utilization in Transit Fleets using Learning, Predictions, Optimization, and Automation. 1-6 - Alexander Bienemann, Hans-Joachim Wuensche:
Model Predictive Control for Autonomous Vehicle Following. 1-6 - Markus Horn, Thomas Wodtko, Michael Buchholz, Klaus Dietmayer:
Extrinsic Infrastructure Calibration Using the Hand-Eye Robot-World Formulation. 1-8 - Catherine Lollett, Mitsuhiro Kamezaki, Shigeki Sugano:
Normalized Facial Features-Based DNN for a Driver's Gaze Zone Classifier Using a Single Camera Robust to Various Highly Challenging Driving Scenarios. 1-8 - Ross Greer, Samveed Desai, Lulua Rakla, Akshay Gopalkrishnan, Afnan Alofi, Mohan M. Trivedi:
Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis. 1-8 - Suiyi He, Shian Wang, Yunli Shao, Zongxuan Sun, Michael W. Levin:
Real-Time Traffic Prediction Considering Lane Changing Maneuvers with Application to Eco-Driving Control of Electric Vehicles. 1-7 - Patrick Irvine, Antonio Anastasio Bruto da Costa, Xizhe Zhang, Siddartha Khastgir, Paul A. Jennings:
Structured Natural Language for expressing Rules of the Road for Automated Driving Systems. 1-8 - Mohit Garg, Mélanie Bouroche:
Can listening to more neighbours help CAVs be faster and safer? 1-8 - Cheng Ye, Wei Li, Yu Hu:
A Tightly-Coupled GNSS RTK/INS Positioning Algorithm Based on Adaptive Lag Smoother. 1-8 - Lin Zhao, Mikael Nybacka, Malte Rothhämel:
A Survey of Teleoperation: Driving Feedback. 1-8 - Thomas Steinecker, Hans-Joachim Wuensche:
A Simple and Model-Free Path Filtering Algorithm for Smoothing and Accuracy. 1-7 - Anirudh Chari, Rui Chen, Changliu Liu:
Space-Time Conflict Spheres for Constrained Multi-Agent Motion Planning. 1-6 - Fabian Immel, Richard Fehler, Mohammad M. Ghanaat, Florian Ries, Martin Haueis, Christoph Stiller:
HD Map Generation from Noisy Multi-Route Vehicle Fleet Data on Highways with Expectation Maximization. 1-7 - Kévin Bellingard, Lounis Adouane, Fabrice Peyrin:
Risk Assessment and Management based on Neuro-Fuzzy System for Safe and Flexible Navigation in Unsignalized Intersection. 1-7 - Jugoslav Stojcheski, Thomas Nürnberg, Michael Ulrich, Thomas Michalke, Claudius Gläser, Andreas Geiger:
Self-Supervised Occupancy Grid Map Completion for Automated Driving. 1-7 - Franz Scheuer, Alessio Gambi, Paolo Arcaini:
STRETCH: Generating Challenging Scenarios for Testing Collision Avoidance Systems. 1-6 - Jiqian Dong, Qi Chen, Deyuan Qu, Hongsheng Lu, Akila Ganlath, Qing Yang, Sikai Chen, Samuel Labi:
LiDAR-based Cooperative Relative Localization. 1-8 - Barbara Schütt, Maximilian Zipfl, J. Marius Zöllner, Eric Sax:
Inverse Universal Traffic Quality - a Criticality Metric for Crowded Urban Traffic Scenes. 1-7 - Sang Jae Cho, Hong-Woo Seok, Seung-Hyun Kong:
MPCNet: GNSS Multipath Error Compensation Network via Multi-task learning. 1-6 - Giacomo D'Amicantonio, Egor Bondarau, Peter H. N. de With:
Homography Estimation for Camera Calibration in Complex Topological Scenes. 1-8 - Sebastian Huch, Florian Sauerbeck, Johannes Betz:
DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles. 1-8 - Xinyang Wu, Elisabeth Wedernikow, Christof Nitsche, Marco F. Huber:
Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle with Reinforce