自动驾驶

BLUE: Toward Better Language Use in Efficient Vision-Language-Action Models for Autonomous Driving

BLUE：迈向自动驾驶高效视觉-语言-动作模型中更好的语言使用

George Ling, Lijin Yang, Hao Yang, Zhongzhan Huang

机构 * Bosch Research（博世研究院） 纠错

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.CV

AI总结 提出BLUE方法，通过轻量门控机制在视觉-语言-动作模型中按帧决定是否激活语言生成，实现性能提升和2.54倍推理加速。

Comments preprint

Visual Adversarial Attack on Vision-Language Models for Autonomous Driving

面向自动驾驶的视觉对抗攻击研究

Tianyuan Zhang, Lu Wang, Xinwei Zhang, Yitong Zhang, Boyi Jia, Siyuan Liang, Shengshan Hu, Qiang Fu, Aishan Liu, Xianglong Liu

机构 * Beihang University（北航） ； National University of Singapore（国立新加坡大学） ； Huazhong University of Science and Technology（华中科技大学） 纠错

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.CV

AI总结 本文提出ADvLM框架，针对自动驾驶中视觉语言模型的特殊需求，解决文本指令变异性和视觉场景时间序列性问题，实现高效对抗攻击。

Comments Accepted by Machine Intelligence Research

Towards Autonomous Driving of Personal Mobility with Small and Noisy Dataset using Tsallis-statistics-based Behavioral Cloning

基于Tsallis统计的行为克隆用于小噪声数据集的个人移动自主驾驶

Taisuke Kobayashi, Takahito Enomoto

机构 * Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology（信息科学系，科学技术研究生院，奈良科学技术大学） 纠错

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.RO

AI总结 本研究提出基于Tsallis统计的损失函数，用于在小噪声数据集上实现个人移动的自动驾驶，通过改进可视化技术验证驾驶员与控制器的感兴趣区域一致性，实验表明该方法能稳健应对误差并实现自动驾驶。

Comments 11 pages, 12 figures

Journal ref SII2024

Toward Fully Autonomous Driving: AI, Challenges, Opportunities, and Needs

迈向完全自动驾驶：人工智能、挑战、机遇与需求

Lars Ullrich, Michael Buchholz, Klaus Dietmayer, Knut Graichen

机构 * Institute of Measurement, Control and Microtechnology（测量、控制与微技术研究所） ； Ulm University（乌尔姆大学） 纠错

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.RO

AI总结 本文探讨了人工智能在完全自动驾驶中的挑战、机遇及需求，分析了AI在提升自动驾驶能力方面的潜力与限制。

Comments Published in IEEE Access, 29 January 2026

Journal ref IEEE Access, 29 January 2026, pp. 1--26

Efficient Visual Question Answering Pipeline for Autonomous Driving via Scene Region Compression

面向自动驾驶的高效视觉问答流水线：场景区域压缩

Yuliang Cai, Dongqiangzi Ye, Zitian Chen, Chongruo Wu

机构 * University of Southern California（南加州大学） ； XPeng（小鹏） 纠错

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.CV

AI总结 本文提出SRC-Pipeline框架，通过场景区域压缩技术，在保持性能的同时显著降低计算成本，提升自动驾驶中的实时视觉问答效率。

Comments 7 pages

ThinkDrive: Chain-of-Thought Guided Progressive Reinforcement Learning Fine-Tuning for Autonomous Driving

ThinkDrive: 基于链式推理的渐进强化学习微调框架用于自动驾驶

Chang Zhao, Zheming Yang, Yunqing Hu, Qi Guo, Zijian Wang, Pengcheng Li, Wen Ji

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.AI

AI总结 ThinkDrive通过结合显式推理与难度感知的自适应策略优化，提升了自动驾驶中的决策透明度和泛化能力，实验显示其在多个指标上优于现有方法。

Sparse Threats, Focused Defense: Criticality-Aware Robust Reinforcement Learning for Safe Autonomous Driving

稀疏威胁，聚焦防御：面向安全自动驾驶的关键性感知鲁棒强化学习

Qi Wei, Junchao Fan, Zhao Yang, Jianhua Wang, Jingkai Mao, Xiaolin Chang

机构 * Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, P.R.China（北京智能交通安全与隐私重点实验室，北京交通大学，中华人民共和国） 纠错

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.AI

AI总结 本文提出CARRL方法，通过关键性感知的对抗训练，提升自动驾驶中稀疏安全关键风险的鲁棒性，实验显示碰撞率降低22.66%。

Understanding Mental States in Active and Autonomous Driving with EEG

通过EEG理解主动和自动驾驶中的心理状态

Prithila Angkan, Paul Hungler, Ali Etemad

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.AI

AI总结 本文通过EEG研究主动和自动驾驶中心理状态的差异，发现两种模式在神经激活和心理状态强度上有显著区别，强调了开发自动驾驶车辆驾驶员监控系统时需使用场景特定的数据和模型。

Comments 15 Pages, 13 Figures and 3 Tables. This work has been submitted to IEEE Transaction for possible publication

AED: Automatic Discovery of Effective and Diverse Vulnerabilities for Autonomous Driving Policy with Large Language Models

AED: 利用大语言模型自动发现自主驾驶策略的有效且多样的漏洞

Le Qiu, Zelai Xu, Qixin Tan, Wenhao Tang, Chao Yu, Yu Wang

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.AI

AI总结 AED 利用大语言模型自动发现自动驾驶策略的有效且多样的漏洞，提升漏洞发现的多样性和有效性。

Seeing before Observable: Potential Risk Reasoning in Autonomous Driving via Vision Language Models

在可观察之前看见：通过视觉语言模型在自动驾驶中的潜在风险推理

Jiaxin Liu, Xiangyu Yan, Liang Peng, Lei Yang, Lingjun Zhang, Yuechen Luo, Yueming Tao, Ashton Yu Xuan Tan, Mu Li, Lei Zhang, Ziqi Zhan, Sai Guo, Hong Wang, Jun Li

机构 * School of Vehicle and Mobility, Tsinghua University（车辆与移动系统学院，清华大学） 纠错

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.RO

AI总结 本文提出PotentialRiskQA数据集和PR-Reasoner框架，通过视觉语言模型提升自动驾驶中潜在风险的前瞻性推理能力。

Security of Deep Reinforcement Learning for Autonomous Driving: A Survey

Ambra Demontis, Srishti Gupta, Maura Pintor, Luca Demetrio, Kathrin Grosse, Hsiao-Ying Lin, Chengfang Fang, Battista Biggio, Fabio Roli

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.RO

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning

Arjun Srinivasan, Anubhav Paras, Aniket Bera

机构 * University of Maryland, College Park（马里兰大学学院公园分校） 纠错

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.CV

ArbiViewGen: Controllable Arbitrary Viewpoint Camera Data Generation for Autonomous Driving via Stable Diffusion Models

Yatong Lan, Jingfeng Chen, Yiru Wang, Lei He

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.CV

Comments 11 pages, 6 figures

RoboCar: A Rapidly Deployable Open-Source Platform for Autonomous Driving Research

Mehdi Testouri, Gamal Elghazaly, Raphael Frank

机构 * SnT - Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg（卢森堡大学安全、可靠性与信任跨学科研究中心） 纠错

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.RO

The DevSafeOps Dilemma: A Systematic Literature Review on Rapidity in Safe Autonomous Driving Development and Operation

Ali Nouri, Beatriz Cabrero-Daniel, Fredrik Törner, Christian Berger

机构 * Chalmers University of Technology, Department of Computer Science（查尔姆斯理工大学计算机科学系） ； University of Gothenburg, Department of Computer Science（哥德堡大学计算机科学系） 纠错

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.RO

Comments Accepted for publication in the Journal of Systems and Software (JSS)

Sharpening the Spear: Adaptive Expert-Guided Adversarial Attack Against DRL-based Autonomous Driving Policies

Junchao Fan, Xuyang Lei, Xiaolin Chang

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.AI

Comments 12 pages, 3 figures, 2 tables

A Small-Scale Robot for Autonomous Driving: Design, Challenges, and Best Practices

Hossein Maghsoumi, Yaser Fallah

机构 * Department of Electrical and Computer Engineering（电气与计算机工程系） ； University of Central Florida（中央佛罗里达大学） 纠错

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.RO

ADRD: LLM-Driven Autonomous Driving Based on Rule-based Decision Systems

Fanzhi Zeng, Siqi Wang, Chuzhao Zhu, Li Li

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.AI

Functionality Assessment Framework for Autonomous Driving Systems using Subjective Networks

Stefan Orf, Sven Ochs, Valentin Marotta, Oliver Conder, Marc René Zofka, J. Marius Zöllner

机构 * FZI Research Center for Information Technology（弗劳恩霍夫信息技术研究中心） ； Karlsruhe Institute of Technology（卡尔斯鲁厄大学） 纠错

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.RO

Comments submitted to IEEE ITSC 2025

FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving

Wei-Bin Kou, Guangxu Zhu, Bingyang Cheng, Shuai Wang, Ming Tang, Yik-Chung Wu

机构 * Department of Electrical and Electronic Engineering, The University of Hong Kong（香港大学电子与电气工程系） ； Department of Computer Science and Engineering, Southern University of Science and Technology（南方科技大学计算机科学与工程系） ； Shenzhen International Center For Industrial And Applied Mathematics, Shenzhen Research Institute of Big Data（深圳国际工业与应用数学中心、深圳大数据研究 institute） ； Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences（中国科学院深圳先进技术研究所） 纠错

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.RO

Comments 8 pages

pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving

Wei-Bin Kou, Qingfeng Lin, Ming Tang, Sheng Xu, Rongguang Ye, Yang Leng, Shuai Wang, Guofa Li, Zhenyu Chen, Guangxu Zhu, Yik-Chung Wu

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.RO

Comments This paper was submitted to CVPR 2024 in Nov. 2023

Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving

Zijiang Yan, Hao Zhou, Hina Tabassum, Xue Liu

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.AI

Comments Accepted by IEEE Wireless Communications Letters

SVIA: A Street View Image Anonymization Framework for Self-Driving Applications

Dongyu Liu, Xuhong Wang, Cen Chen, Yanhao Wang, Shengyue Yao, Yilun Lin

专题命中 其他自动驾驶 ：self-driving(title,abstract)；分类 cs.CV

Comments 8 pages, 6 figures, 3 tables. Accepted by IEEE ITSC 2024

The global consensus on the risk management of autonomous driving

Sebastian Krügel, Matthias Uhl

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.AI

DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving

Hao Lu, Tianshuo Xu, Wenzhao Zheng, Yunpeng Zhang, Wei Zhan, Dalong Du, Masayoshi Tomizuka, Kurt Keutzer, Yingcong Chen

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.CV

Modular Fault Diagnosis Framework for Complex Autonomous Driving Systems

Stefan Orf, Sven Ochs, Jens Doll, Albert Schotschneider, Marc Heinrich, Marc René Zofka, J. Marius Zöllner

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.RO

Comments Accepted at 2024 IEEE 20th International Conference on Intelligent Computer Communication and Processing (ICCP 2024)

Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task

Huiping Zhuang, Di Fang, Kai Tong, Yuchen Liu, Ziqian Zeng, Xu Zhou, Cen Chen

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.RO

Comments This paper is to be published in IEEE Transactions on Vehicular Technology

Expert-level protocol translation for self-driving labs

Yu-Zhe Shi, Fanxu Meng, Haofei Hou, Zhangqian Bi, Qiao Xu, Lecheng Ruan, Qining Wang

专题命中 其他自动驾驶 ：self-driving(title,abstract)；分类 cs.RO

Comments In Advances in Neural Information Processing Systems (NeurIPS'24)

AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset

Dongsu Lee, Chanin Eom, Minhae Kwon

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.AI

Comments ICRA 2024 Website at: https://sites.google.com/view/ad4rl

Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving

Wei-Bin Kou, Qingfeng Lin, Ming Tang, Rongguang Ye, Shuai Wang, Guangxu Zhu, Yik-Chung Wu

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)；分类 cs.RO

Comments 16 pages