自动驾驶

LangCoop: Collaborative Driving with Language

Xiangbo Gao, Yuheng Wu, Rujia Wang, Chenxi Liu, Yang Zhou, Zhengzhong Tu

机构 * Texas A&M University（德克萨斯大学） ； KAIST（韩国科学技术院） ； University of Utah（犹他大学） 纠错

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

Journal ref CVPRW 2025

Extrapolated Urban View Synthesis Benchmark

Xiangyu Han, Zhen Jia, Boyi Li, Yan Wang, Boris Ivanovic, Yurong You, Lingjie Liu, Yue Wang, Marco Pavone, Chen Feng, Yiming Li

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

Comments Project page: https://ai4ce.github.io/EUVS-Benchmark/

Edge-Assisted Accelerated Cooperative Sensing for CAVs: Task Placement and Resource Allocation

Yuxuan Wang, Kaige Qu, Wen Wu, Xuemin, Shen

专题命中 仿真评测 ：autonomous driving(abstract)；LiDAR(abstract)

Gradient-Guided Parameter Mask for Multi-Scenario Image Restoration Under Adverse Weather

Jilong Guo, Haobo Yang, Mo Zhou, Xinyu Zhang

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

Benchmarking the Robustness of Optical Flow Estimation to Corruptions

Zhonghua Yi, Hao Shi, Qi Jiang, Yao Gao, Ze Wang, Yufan Zhang, Kailun Yang, Kaiwei Wang

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

Comments The benchmarks and source code will be released at https://github.com/ZhonghuaYi/optical_flow_robustness_benchmark

Promptable Closed-loop Traffic Simulation

Shuhan Tan, Boris Ivanovic, Yuxiao Chen, Boyi Li, Xinshuo Weng, Yulong Cao, Philipp Krähenbühl, Marco Pavone

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

Comments Accepted to CoRL 2024. Website available at https://ariostgx.github.io/ProSim

SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries

Wei-Jer Chang, Francesco Pittaluga, Masayoshi Tomizuka, Wei Zhan, Manmohan Chandraker

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

Comments Accepted by ECCV2024; Project website: https://safe-sim.github.io/

Embodied Navigation at the Art Gallery

Roberto Bigazzi, Federico Landi, Silvia Cascianelli, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

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

Comments Accepted by 21st International Conference on Image Analysis and Processing (ICIAP 2021)

Data-driven Traffic Simulation: A Comprehensive Review

Di Chen, Meixin Zhu, Hao Yang, Xuesong Wang, Yinhai Wang

专题命中 仿真评测 ：autonomous driving(abstract)；driving perception(abstract)

Comments 21 pages, 7 figures, 6 tables

Learning to Drive Anywhere

Ruizhao Zhu, Peng Huang, Eshed Ohn-Bar, Venkatesh Saligrama

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

Comments Conference on Robot Learning (CoRL) 2023

Learning Off-Road Terrain Traversability with Self-Supervisions Only

Junwon Seo, Sungdae Sim, Inwook Shim

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

Comments Accepted to IEEE Robotics and Automation Letters. Our video can be found at https://bit.ly/3YdKanw

Journal ref IEEE Robotics and Automation Letters, 8.8 (2023):4617-4624

Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems

Fitash Ul Haq, Donghwan Shin, Lionel Briand

专题命中 仿真评测 ：autonomous driving(abstract)；end-to-end driving(abstract)

PanoFlow: Learning 360° Optical Flow for Surrounding Temporal Understanding

Hao Shi, Yifan Zhou, Kailun Yang, Xiaoting Yin, Ze Wang, Yaozu Ye, Zhe Yin, Shi Meng, Peng Li, Kaiwei Wang

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

Comments Code and dataset are publicly available at https://github.com/MasterHow/PanoFlow

Unifying Evaluation of Machine Learning Safety Monitors

Joris Guerin, Raul Sena Ferreira, Kevin Delmas, Jérémie Guiochet

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

Comments 9 pages, 5 figures, 3 tables, to appear in the proceedings of the 33rd IEEE International Symposium on Software Reliability Engineering (ISSRE 2022)

LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative Plane

Ze Wang, Kailun Yang, Hao Shi, Peng Li, Fei Gao, Kaiwei Wang

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

Comments Accepted to IROS 2022. Dataset and code are publicly available at https://github.com/flysoaryun/LF-VIO

Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing

Jonathan Francis, Bingqing Chen, Siddha Ganju, Sidharth Kathpal, Jyotish Poonganam, Ayush Shivani, Vrushank Vyas, Sahika Genc, Ivan Zhukov, Max Kumskoy, Anirudh Koul, Jean Oh, Eric Nyberg

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

Comments 20 pages, 4 figures, 2 tables

SelfD: Self-Learning Large-Scale Driving Policies From the Web

Jimuyang Zhang, Ruizhao Zhu, Eshed Ohn-Bar

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

Comments Accepted by CVPR2022

Pose Estimation of Specific Rigid Objects

Tomas Hodan

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

Comments Tomas Hodan's PhD thesis defended on July 7, 2021. Supervisor: Prof. Jiri Matas. Reviewers: Prof. Vincent Lepetit, Prof. Markus Vincze, Dr. Slobodan Ilic. A recording of the defense: https://youtu.be/WAQmubEXCRM

Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping

Jean-Emmanuel Deschaud, David Duque, Jean Pierre Richa, Santiago Velasco-Forero, Beatriz Marcotegui, and François Goulette

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

Comments 24 pages

Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients

Oliver Scheel, Luca Bergamini, Maciej Wołczyk, Błażej Osiński, Peter Ondruska

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

Comments CoRL 2021

iGibson 1.0: a Simulation Environment for Interactive Tasks in Large Realistic Scenes

Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Claudia Pérez-D'Arpino, Shyamal Buch, Sanjana Srivastava, Lyne P. Tchapmi, Micael E. Tchapmi, Kent Vainio, Josiah Wong, Li Fei-Fei, Silvio Savarese

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

Journal ref 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)

Evaluation Framework for Performance Limitation of Autonomous Systems under Sensor Attack

Koichi Shimizu, Daisuke Suzuki, Ryo Muramatsu, Hisashi Mori, Tomoyuki Nagatsuka, Tsutomu Matsumoto

专题命中 仿真评测 ：self-driving(abstract)；LiDAR(abstract)

TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors

Simon Suo, Sebastian Regalado, Sergio Casas, Raquel Urtasun

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

Learning by Cheating

Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl

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

Comments Paper published in CoRL2019

Segway DRIVE Benchmark: Place Recognition and SLAM Data Collected by A Fleet of Delivery Robots

Jianzhu Huai, Yusen Qin, Fumin Pang, Zichong Chen

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

Comments 8 pages, 4 figures, 4 tables, conference

CARLA: An Open Urban Driving Simulator

Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, Vladlen Koltun

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

Comments Published at the 1st Conference on Robot Learning (CoRL)

CarLLaVA: Vision language models for camera-only closed-loop driving

Katrin Renz, Long Chen, Ana-Maria Marcu, Jan Hünermann, Benoit Hanotte, Alice Karnsund, Jamie Shotton, Elahe Arani, Oleg Sinavski

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

Comments Outstanding Champion & Innovation Award @ CARLA Autonomous Driving Challenge 2024; Project video: https://youtu.be/E1nsEgcHRuc

SCAPE: Scenario-Conditioned Simulation-Augmented Policy Evaluation

SCAPE：场景条件化的模拟增强策略评估

Dijie Zhu, Seunghun Oh, Ruopeng Huang, Zhiyu Huang, Jiaqi Ma, Chen Tang

机构 * Seoul National University（首尔国立大学） ； University of Southern California（南加州大学） ； North Carolina State University（北卡罗来纳州立大学） ； University of California Los Angeles（加利福尼亚大学洛杉矶分校） 纠错

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

AI总结 针对机器人学习策略部署的评估瓶颈，提出 SCAPE 框架，通过校正模拟偏差、共形预测校准不确定性，在自动驾驶等任务上提升场景预测精度与样本效率，支持细粒度部署。

Comments 22 pages

OODBench: Out-of-Distribution Benchmark for Large Vision-Language Models

OODBench: 用于大型视觉-语言模型的分布外基准

Ling Lin, Yang Bai, Heng Su, Congcong Zhu, Yaoxing Wang, Yang Zhou, Huazhu Fu, Jingrun Chen

机构 * University of Science and Technology of China ； Suzhou Institute for Advanced Research, USTC ； Key Laboratory of the Ministry of Education for Mathematical Foundations ； Unmanned System Research Institute, Northwestern Polytechnical University 纠错

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

AI总结 OODBench提出了一种自动化方法，用于构建评估大型视觉-语言模型处理分布外数据能力的基准，并展示了当前模型在面对此类数据时的性能下降。

Comments 54 pages, 21 figures

RealityBridge: Bridging Editable 3D Gaussian Splatting Driving Simulations and Real-World Videos

RealityBridge: 连接可编辑3D高斯泼溅驾驶模拟与现实世界视频

Zhenhua Wu, Yun Pang, Mingkun Chang, Yuwei Ning, Liangzhi Wang, Yi Xiao, Guanbin Li

机构 * Sun Yat-sen University（中山大学） ； Guangdong Key Laboratory of Information Security Technology（广东省信息安全技术重点实验室） ； Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education（教育部机器智能与先进计算重点实验室） 纠错

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

AI总结 提出RealityBridge框架，利用多模态控制和轻量级GateNet，结合自回归长视频训练与奖励引导后训练，缩小编辑后3DGS驾驶视频的Sim-to-Real差距，提升视觉真实感和时间一致性。

Comments Under submission