arXivDaily arXiv每日学术速递 周一至周五更新

视觉与机器人

自动驾驶

自动驾驶感知、规划、BEV、占用预测、激光雷达和仿真评测。

共收录 1476 信号源:cs.RO, cs.CV, eess.IV, cs.AI

1. 仿真评测 1476 篇

2509.10247 2026-06-04 cs.RO cs.AI 73%

DiffAero: A GPU-Accelerated Differentiable Simulation Framework for Efficient Quadrotor Policy Learning

DiffAero: 一种用于高效四旋翼策略学习的GPU加速可微分仿真框架

Xinhong Zhang, Runqing Wang, Yunfan Ren, Jian Sun, Hao Fang, Jie Chen, Gang Wang

机构 * State Key Lab of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology(自主智能无人系统国家重点实验室,北京理工大学) Zhongguancun Academy(中关村academy) Department of Mechanical Engineering, University of Hong Kong(香港大学机械工程系) Harbin Institute of Technology(哈尔滨工业大学)

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

AI总结 提出DiffAero,一种轻量级、GPU加速且完全可微的仿真框架,通过并行化物理与渲染实现高效四旋翼控制策略学习,并在消费级硬件上数小时内训练出鲁棒策略。

Comments 8 pages, 11 figures, 1 table

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2604.22835 2026-04-28 cs.CV cs.AI 73%

ParkingScenes: A Structured Dataset for End-to-End Autonomous Parking in Simulation Scenes

ParkingScenes: 一个用于模拟场景中端到端自动驾驶泊车的结构化数据集

Haonan Chen, Kaiwen Xiao, Bin Tian, Jun Fu

机构 * Institute of Automation(自动化研究所) Chinese Academy of Sciences(中国科学院) School of Art and Design(艺术与设计学院)

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

AI总结 本文提出ParkingScenes数据集,通过结构化轨迹生成提升泊车性能,展示结构化监督对自主泊车政策学习的有效性。

Comments Accepted by CAC 2025

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2604.08535 2026-04-10 cs.RO cs.CV 73%

Fail2Drive: Benchmarking Closed-Loop Driving Generalization

Fail2Drive: 闭环驾驶泛化性基准测试

Simon Gerstenecker, Andreas Geiger, Katrin Renz

机构 * University of Tübingen(图宾根大学) Tübingen AI Center(图宾根人工智能中心)

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

AI总结 Fail2Drive引入首个闭环驾驶泛化性基准测试,通过200条路线和17种新场景类别,评估模型在分布偏移下的表现,揭示泛化能力退化问题,提供开源工具加速后续研究。

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2405.14475 2025-07-28 cs.CV cs.AI 73%

MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes

Ruiyuan Gao, Kai Chen, Zhihao Li, Lanqing Hong, Zhenguo Li, Qiang Xu

机构 * CUHK(香港中文大学) HKUST(香港理工大学) Huawei Noah’s Ark Lab(华为诺亚实验室)

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

Comments Project Page: https://flymin.github.io/magicdrive3d

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2503.22060 2025-03-31 cs.CV cs.RO 73%

Deep Depth Estimation from Thermal Image: Dataset, Benchmark, and Challenges

Ukcheol Shin, Jinsun Park

专题命中 仿真评测 :self-driving(abstract);LiDAR(abstract);分类 cs.RO、cs.CV

Comments MS^2 dataset: https://sites.google.com/view/multi-spectral-stereo-dataset, Source code: https://github.com/UkcheolShin/SupDepth4Thermal

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2503.11731 2025-03-18 cs.CV cs.RO 73%

Industrial-Grade Sensor Simulation via Gaussian Splatting: A Modular Framework for Scalable Editing and Full-Stack Validation

Xianming Zeng, Sicong Du, Qifeng Chen, Lizhe Liu, Haoyu Shu, Jiaxuan Gao, Jiarun Liu, Jiulong Xu, Jianyun Xu, Mingxia Chen, Yiru Zhao, Peng Chen, Yapeng Xue, Chunming Zhao, Sheng Yang, Qiang Li

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

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2503.09638 2025-03-14 cs.RO cs.AI cs.LG 73%

Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions

Milad Rahmati

专题命中 仿真评测 :self-driving(abstract);LiDAR(abstract);分类 cs.RO、cs.AI

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2411.11252 2024-11-19 cs.RO cs.CV 73%

DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation

Tianyi Yan, Dongming Wu, Wencheng Han, Junpeng Jiang, Xia Zhou, Kun Zhan, Cheng-zhong Xu, Jianbing Shen

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

Comments https://yanty123.github.io/DrivingSphere/

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2410.20030 2024-10-29 cs.CV cs.AI cs.GR 73%

SCube: Instant Large-Scale Scene Reconstruction using VoxSplats

Xuanchi Ren, Yifan Lu, Hanxue Liang, Zhangjie Wu, Huan Ling, Mike Chen, Sanja Fidler, Francis Williams, Jiahui Huang

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

Comments NeurIPS 2024. Project page: https://research.nvidia.com/labs/toronto-ai/scube/

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2210.08731 2024-07-31 cs.AI cs.HC cs.RO 73%

Evaluation of Pedestrian Safety in a High-Fidelity Simulation Environment Framework

Lin Ma, Longrui Chen, Yan Zhang, Mengdi Chu, Wenjie Jiang, Jiahao Shen, Chuxuan Li, Yifeng Shi, Nairui Luo, Jirui Yuan, Guyue Zhou, Jiangtao Gong

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

Comments Resubmit to ITSC 2024; Accept by ITSC 2024

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2406.08421 2024-06-13 cs.RO cs.CV 73%

PRIBOOT: A New Data-Driven Expert for Improved Driving Simulations

Daniel Coelho, Miguel Oliveira, Vitor Santos, Antonio M. Lopez

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

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2401.00125 2024-01-02 cs.AI cs.CV 73%

LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning

S P Sharan, Francesco Pittaluga, Vijay Kumar B G, Manmohan Chandraker

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

Comments 15 pages, 8 figures, 7 tables

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2311.06054 2023-11-23 cs.CV cs.AI 73%

Refining the ONCE Benchmark with Hyperparameter Tuning

Maksim Golyadkin, Alexander Gambashidze, Ildar Nurgaliev, Ilya Makarov

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

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2309.09756 2023-09-19 cs.RO cs.CV 73%

Privileged to Predicted: Towards Sensorimotor Reinforcement Learning for Urban Driving

Ege Onat Özsüer, Barış Akgün, Fatma Güney

专题命中 仿真评测 :autonomous driving(abstract);self-driving(abstract);分类 cs.RO、cs.CV

Comments 7 pages

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2308.01898 2023-08-04 cs.CV cs.RO 73%

UniSim: A Neural Closed-Loop Sensor Simulator

Ze Yang, Yun Chen, Jingkang Wang, Sivabalan Manivasagam, Wei-Chiu Ma, Anqi Joyce Yang, Raquel Urtasun

专题命中 仿真评测 :self-driving(abstract);LiDAR(abstract);分类 cs.RO、cs.CV

Comments CVPR 2023 Highlight. Project page: https://waabi.ai/research/unisim/

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2211.11836 2022-11-23 eess.IV cs.CV 73%

Towards Live 3D Reconstruction from Wearable Video: An Evaluation of V-SLAM, NeRF, and Videogrammetry Techniques

David Ramirez, Suren Jayasuriya, Andreas Spanias

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

Comments Accepted to 2022 Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC), 13 pages

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2112.14706 2022-05-06 cs.RO cs.AI cs.MA cs.SE 73%

Intersection focused Situation Coverage-based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLA

Zaid Tahir, Rob Alexander

专题命中 仿真评测 :autonomous driving(abstract);self-driving(abstract);分类 cs.RO、cs.AI

Comments International Conference on Modelling and Simulation for Autonomous Systems, MESAS 2021

Journal ref MESAS 2021: Modelling and Simulation for Autonomous Systems

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2202.03807 2022-02-09 cs.RO cs.AI 73%

Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits

Alexander Wischnewski, Maximilian Geisslinger, Johannes Betz, Tobias Betz, Felix Fent, Alexander Heilmeier, Leonhard Hermansdorfer, Thomas Herrmann, Sebastian Huch, Phillip Karle, Felix Nobis, Levent Ögretmen, Matthias Rowold, Florian Sauerbeck, Tim Stahl, Rainer Trauth, Markus Lienkamp, Boris Lohmann

专题命中 仿真评测 :autonomous driving(abstract);self-driving(abstract);分类 cs.RO、cs.AI

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2108.10800 2021-08-25 cs.CV cs.RO 73%

A Benchmark for Spray from Nearby Cutting Vehicles

Stefanie Walz, Mario Bijelic, Florian Kraus, Werner Ritter, Martin Simon, Igor Doric

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

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2106.14102 2021-06-29 cs.CV cs.AI cs.LG 73%

Image Classification with CondenseNeXt for ARM-Based Computing Platforms

Priyank Kalgaonkar, Mohamed El-Sharkawy

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

Comments 6 pages, 7 figures, conference, published IEEE Conference paper

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2101.10377 2021-01-27 cs.RO cs.AI cs.SY eess.SY 73%

Learning to falsify automated driving vehicles with prior knowledge

Andrea Favrin, Vladislav Nenchev, Angelo Cenedese

专题命中 仿真评测 :autonomous driving(abstract);self-driving(abstract);分类 cs.RO、cs.AI

Comments Preprint accepted at IFAC World Congress 2020, Germany

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2010.04821 2021-01-26 cs.SE cs.AI cs.CV cs.LG 73%

Understanding Local Robustness of Deep Neural Networks under Natural Variations

Ziyuan Zhong, Yuchi Tian, Baishakhi Ray

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

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1905.02693 2020-03-31 cs.CV cs.LG cs.RO 73%

3D Packing for Self-Supervised Monocular Depth Estimation

Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, Adrien Gaidon

专题命中 仿真评测 :self-driving(abstract);LiDAR(abstract);分类 cs.RO、cs.CV

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2604.24726 2026-04-28 cs.CE cs.SY eess.SY 71%

VEHRON: A Configuration-Driven BEV Simulation Framework for Subsystem-Level Studies

VEHRON:一种基于配置的电池电动车辆仿真框架用于子系统级研究

Subramanyam Natarajan

专题命中 仿真评测 :BEV(title)

AI总结 VEHRON是一个开源Python框架,用于构建确定性和可追溯的电池电动车辆纵向仿真工作流程,通过验证的YAML配置、打包的驱动循环资源和可替换的子系统模型实现高效仿真。

Comments 12 pages, 3 figures, 5 tables; software paper

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2511.00659 2025-11-04 eess.SY cs.SY 71%

Unveiling Uniform Shifted Power Law in Stochastic Human and Autonomous Driving Behavior

Wang Chen, Heye Huang, Ke Ma, Hangyu Li, Shixiao Liang, Hang Zhou, Xiaopeng Li

专题命中 仿真评测 :autonomous driving(title)

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2406.03040 2024-06-06 cs.SE 71%

Correlation of Software-in-the-Loop Simulation with Physical Testing for Autonomous Driving

Zhennan Fei, Mikael Andersson, Andreas Tingberg

专题命中 仿真评测 :autonomous driving(title)

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2210.13117 2022-11-22 stat.AP 71%

Modeling Stochastic Data Using Copulas For Application in Validation of Autonomous Driving

Katrin Lotto, Thomas Nagler, Mladjan Radic

专题命中 仿真评测 :autonomous driving(title)

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1409.7121 2014-09-26 cs.SE 71%

Software & Systems Engineering Process and Tools for the Development of Autonomous Driving Intelligence

Christian Basarke, Christian Berger, Bernhard Rumpe

专题命中 仿真评测 :autonomous driving(title)

Comments 28 pages, 10 figures. arXiv admin note: substantial text overlap with arXiv:1409.6579

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1409.6579 2014-09-24 cs.SE 71%

Engineering Autonomous Driving Software

Christian Berger, Bernhard Rumpe

专题命中 仿真评测 :autonomous driving(title)

Comments 29 pages, 8 figures, C. Rouff, M. Hinchey (Eds.). Experience from the DARPA Urban Challenge. Springer, 2012

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2608.11077 2026-08-12 cs.CV 新提交 70%

Learning Gaussian Structure: Intervention-Guided Density Control for Feed-Forward Driving Reconstruction

学习高斯结构:用于前向驾驶重建的干预引导密度控制

Hang Li, Jiahe Li, Meiying Gu, Jin Zheng, Lina Yu, Xiao Bai

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

AI总结 本文提出Learning Gaussian Structure(LGS)框架,通过干预引导的高斯结构调整与跨时间点查询,在Waymo Open Dataset和PandaSet上实现了优于现有方法的驾驶场景重建效果。

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