自动驾驶

WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving

Yinsong Wang, Siwei Chen, Ziyi Song, Sheng Zhou

机构 * Department of Electronic Engineering, Tsinghua University（清华大学电子工程系） ； State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University（清华大学智能绿色车辆与移动性国家重点实验室） 纠错

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.CV

Beyond Simulation: Benchmarking World Models for Planning and Causality in Autonomous Driving

Hunter Schofield, Mohammed Elmahgiubi, Kasra Rezaee, Jinjun Shan

机构 * Noah’s Ark Lab, Huawei Technologies Canada（华为技术加拿大分公司诺亚 Ark 实验室） ； York University, Toronto, Canada（多伦多大学） 纠错

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.RO

Comments Accepted ICRA 2025

Event-Based De-Snowing for Autonomous Driving

Manasi Muglikar, Nico Messikommer, Marco Cannici, Davide Scaramuzza

机构 * University of Zurich（苏黎世大学） 纠错

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.CV

Multi-Agent Reinforcement Learning-based Cooperative Autonomous Driving in Smart Intersections

Taoyuan Yu, Kui Wang, Zongdian Li, Tao Yu, Kei Sakaguchi

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.RO

Comments 7 pages

Courteous MPC for Autonomous Driving with CBF-inspired Risk Assessment

Yanze Zhang, Yiwei Lyu, Sude E. Demir, Xingyu Zhou, Yupeng Yang, Junmin Wang, Wenhao Luo

机构 * Department of Computer Science, University of North Carolina at Charlotte（计算机科学系，北卡罗来纳大学夏洛特分校） ； Department of Electrical and Computer Engineering, Carnegie Mellon University（电气与计算机工程系，卡内基梅隆大学） ； Walker Department of Mechanical Engineering, University of Texas at Austin（沃克机械工程系，德克萨斯大学奥斯汀分校） 纠错

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.RO

Comments 7 pages, accepted to ITSC 2024

Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving

Eugen Šlapak, Matúš Dopiriak, Mohammad Abdullah Al Faruque, Juraj Gazda, Marco Levorato

机构 * Technical University of Košice（科希策技术大学） ； University of California, Irvine（加州大学伊维奇分校） 纠错

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.CV

Comments 6 pages, 6 figures, conference

On Simulation-Guided LLM-based Code Generation for Safe Autonomous Driving Software

Ali Nouri, Johan Andersson, Kailash De Jesus Hornig, Zhennan Fei, Emil Knabe, Hakan Sivencrona, Beatriz Cabrero-Daniel, Christian Berger

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.AI

Comments Accepted in the 29th International Conference on Evaluation and Assessment in Software Engineering (EASE)

Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification

Ruben Grewal, Paolo Tonella, Andrea Stocco

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.RO

Comments In proceedings of the 17th IEEE International Conference on Software Testing, Verification and Validation 2024 (ICST '24)

SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving

Yiming Li, Sihang Li, Xinhao Liu, Moonjun Gong, Kenan Li, Nuo Chen, Zijun Wang, Zhiheng Li, Tao Jiang, Fisher Yu, Yue Wang, Hang Zhao, Zhiding Yu, Chen Feng

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.CV

Comments IROS 2024

Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving

Zhenghao Peng, Wenjie Luo, Yiren Lu, Tianyi Shen, Cole Gulino, Ari Seff, Justin Fu

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.AI

Dynamically Expanding Capacity of Autonomous Driving with Near-Miss Focused Training Framework

Ziyuan Yang, Zhaoyang Li, Jianming Hu, Yi Zhang

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.RO

Integrating Expert Guidance for Efficient Learning of Safe Overtaking in Autonomous Driving Using Deep Reinforcement Learning

Jinxiong Lu, Gokhan Alcan, Ville Kyrki

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.RO

Comments 10 pages, 7 figures

From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving

Ferdinand Mütsch, Helen Gremmelmaier, Nicolas Becker, Daniel Bogdoll, Marc René Zofka, J. Marius Zöllner

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.CV

Comments Ferdinand Mütsch, Helen Gremmelmaier, and Nicolas Becker contributed equally. Accepted for publication at CVPR 2023 VCAD workshop

One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving

Daniel Bogdoll, Stefani Guneshka, J. Marius Zöllner

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.RO

Comments Daniel Bogdoll and Stefani Guneshka contributed equally. Accepted for publication at ECCV 2022 SAIAD workshop

Bridging the Domain Gap between Synthetic and Real-World Data for Autonomous Driving

Xiangyu Bai, Yedi Luo, Le Jiang, Aniket Gupta, Pushyami Kaveti, Hanumant Singh, Sarah Ostadabbas

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.RO

Pre-Deployment Testing of Low Speed, Urban Road Autonomous Driving in a Simulated Environment

Xinchen Li, Aravind Chandradoss Arul Doss, Bilin Aksun Guvenc, Levent Guvenc

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.RO

SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving

Ahmed Rida Sekkat, Yohan Dupuis, Varun Ravi Kumar, Hazem Rashed, Senthil Yogamani, Pascal Vasseur, Paul Honeine

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.CV

Comments IEEE Robotics and Automation Letters (RA-L) and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022). An initial sample of the dataset is released in https://drive.google.com/drive/folders/1N5rrySiw1uh9kLeBuOblMbXJ09YsqO7I

Journal ref IEEE Robotics and Automation Letters ( Volume: 7, Issue: 3, July 2022)

Reinforcement Learning from Simulation to Real World Autonomous Driving using Digital Twin

Kevin Voogd, Jean Pierre Allamaa, Javier Alonso-Mora, Tong Duy Son

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.RO

Comments This work has been submitted to IFAC for possible publication

Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation

Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.CV

Comments Journal version of arXiv:2104.11489

A Real-time Critical-scenario-generation Framework for Testing Autonomous Driving System

Yizhou Xie, Kunpeng Dai, Yong Zhang

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.RO

Comments 7pages,9 figures, 21 references

Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation

Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.RO

Comments Accepted to ICRA-2022

B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving

Angelos Mavrogiannis, Rohan Chandra, Dinesh Manocha

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.RO

Comments Accepted for publication in the IEEE Robotics and Automation Letters (R-AL) journal

How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach

Rui Chen, Mansur Arief, Weiyang Zhang, Ding Zhao

专题命中 仿真评测 ：self-driving(title)；分类 cs.RO

Journal ref IEEE Transactions on Intelligent Transportation Systems ( Volume: 22, Issue: 9, Sept. 2021)

Benchmark of visual and 3D lidar SLAM systems in simulation environment for vineyards

Ibrahim Hroob, Riccardo Polvara, Sergi Molina, Grzegorz Cielniak, Marc Hanheide

专题命中 仿真评测 ：LiDAR(title)；分类 cs.RO

Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World

Péter Almási, Róbert Moni, Bálint Gyires-Tóth

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.RO

Comments \c{opyright} 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Correcting Decalibration of Stereo Cameras in Self-Driving Vehicles

Jon Muhovič, Janez Perš

专题命中 仿真评测 ：self-driving(title)；分类 cs.CV

Comments 8 pages, 9 figures

SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark

Steve Dias Da Cruz, Oliver Wasenmüller, Hans-Peter Beise, Thomas Stifter, Didier Stricker

专题命中 仿真评测 ：occupancy(title)；分类 cs.CV

Comments This paper is accepted at IEEE Winter Conference on Applications of Computer Vision (WACV), 2020. Supplementary material is available under https://sviro.kl.dfki.de/downloads/papers/wacv_supplementary.pdf

A Convolutional Neural Network Approach Towards Self-Driving Cars

Akhil Agnihotri, Prathamesh Saraf, Kriti Rajesh Bapnad

专题命中 仿真评测 ：self-driving(title)；分类 cs.RO

Comments 4 pages, 7 figures

D3VL: Understanding Driving Scenes from 3D Time Series Data and Video with Language Models

D3VL：利用语言模型从3D时间序列数据和视频中理解驾驶场景

Heesang Han, A. Lynn Abbott, Abhijit Sarkar

机构 * Bradley Department of Electrical and Computer Engineering, Virginia Tech（弗吉尼亚理工大学布拉德利电气与计算机工程系） ； Virginia Tech Transportation Institute（弗吉尼亚理工大学交通研究所） ； Sanghani Center for Artificial Intelligence and Data Analytics（桑哈尼人工智能与数据分析中心） 纠错

专题命中 仿真评测 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.CV、cs.AI

AI总结 本文针对自动驾驶中多模态大语言模型，提出D3VL框架，整合2D和3D时间序列数据，回答交通场景相关问题，在KITTI问答数据集上性能提升11%，并引入Waymo QA数据集扩展以评估模型在多样驾驶条件下处理3D和时间序列数据的能力。

Comments Accepted to IEEE IV 2026

OmniTraffic: A Controllable Generation Pipeline and Benchmark for Spatio-Temporal Traffic Reasoning

OmniTraffic：面向时空交通推理的可控生成流水线与基准

Maonan Wang, Zhengyan Huang, Kemou Jiang, Yuhang Fu, Jiayue Zhu, Yuxin Cai, Xingchen Zou, Qiaosheng Zhang, Yi Yu, Ding Wang, Xi Chen, Ben M. Chen, Yuxuan Liang, Zhiyong Cui, Man On Pun, Yirong Chen

机构 * The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）） ； Shanghai AI Lab（上海人工智能实验室） ； Beihang University（北京航空航天大学） ； Nanyang Technological University（南洋理工大学） ； The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） ； The Chinese University of Hong Kong（香港中文大学） 纠错

专题命中 仿真评测 ：BEV(abstract,abstract_cn)；分类 cs.CV、cs.AI

AI总结 提出OmniTraffic，一个基于12个真实路口3D重建的可控生成流水线与基准，通过8M VQA样本和3K人工验证测试集评估11个前沿MLLM，揭示拓扑与时空推理中的显著人机差距，并证明仿真数据微调可提升真实场景性能。

Comments 34 pages, 28 figures