自动驾驶

Hyperspectral Sensors and Autonomous Driving: Technologies, Limitations, and Opportunities

高光谱传感器与自动驾驶：技术、限制与机遇

Imad Ali Shah, Jiarong Li, Roshan George, Tim Brophy, Enda Ward, Martin Glavin, Edward Jones, Brian Deegan

机构 * School of Engineering, University of Galway（Galway大学工程学院） ； Ryan Institute, University of Galway（Galway大学Ryan学院） ； Valeo Vision Systems（Valeo视觉系统） 纠错

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.CV

AI总结 本文综述了高光谱成像在自动驾驶中的技术、限制与机遇，分析了现有设备性能及数据集的局限性，指出其在实际应用中的挑战与发展方向。

Comments Submitted and under review at IEEE OJVT, August 2025

Journal ref IEEE Open Journal of Vehicular Technology, Vol. 7, pp. 124-143, 2026

LSM: A Comprehensive Metric for Assessing the Safety of Lane Detection Systems in Autonomous Driving

LSM：用于评估自动驾驶中车道检测系统安全性的综合指标

Jörg Gamerdinger, Sven Teufel, Stephan Amann, Georg Volk, Oliver Bringmann

机构 * University of Tübingen, Faculty of Science, Department of Computer Science, Embedded Systems Group（图宾根大学，科学学院，计算机科学系，嵌入式系统组） 纠错

专题命中 感知 ：autonomous driving(title)；trajectory planning(abstract)；分类 cs.CV

AI总结 本文提出LSM，一种用于评估自动驾驶中车道检测系统安全性的综合指标，考虑了场景语义、检测范围及车辆速度等因素，通过安全分数评估系统安全性。

Comments Accepted at IEEE VTC-Fall 2025

Traffic Scene Small Target Detection Method Based on YOLOv8n-SPTS Model for Autonomous Driving

基于YOLOv8n-SPTS模型的交通场景小目标检测方法用于自动驾驶

Songhan Wu

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.CV

AI总结 本文提出基于YOLOv8n-SPTS模型的交通场景小目标检测方法，通过优化特征提取、增强特征融合和设计专用检测结构，提升了自动驾驶中的小目标检测性能。

Comments 6 pages, 7 figures, 1 table. Accepted to The 2025 IEEE 3rd International Conference on Electrical, Automation and Computer Engineering (ICEACE), 2025. Code available at https://github.com/SonghanWu/yolov8n-SPTS

FedDSR: Federated Deep Supervision and Regularization Towards Autonomous Driving

FedDSR: 联邦深度监督与正则化以实现自动驾驶

Wei-Bin Kou, Guangxu Zhu, Bingyang Cheng, Chen Zhang, Yik-Chung Wu, Jianping Wang

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, City University of Hong Kong（城市大学计算机科学系） ； 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、深圳大数据研究院） 纠错

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.RO

AI总结 FedDSR通过多层监督和正则化提升联邦学习在自动驾驶中的泛化能力与收敛速度，实验显示在语义分割任务中mIoU提升8.93%且训练轮次减少28.57%。

Comments 9 pages

Statistic-Augmented, Decoupled MoE Routing and Aggregating in Autonomous Driving

统计增强、解耦的MoE路由与聚合在自动驾驶中

Wei-Bin Kou, Guangxu Zhu, Jingreng Lei, Chen Zhang, Yik-Chung Wu, Jianping Wang

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, City University of Hong Kong（城市大学计算机科学系） ； 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、深圳大数据研究院） 纠错

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.RO

AI总结 本文提出统计增强、解耦的MoE路由与聚合机制，用于提升自动驾驶中的预测性能。

Comments 9 pages

Are AI-Generated Driving Videos Ready for Autonomous Driving? A Diagnostic Evaluation Framework

AI生成的驾驶视频是否准备好用于自动驾驶？一种诊断评估框架

Xinhao Xiang, Abhijeet Rastogi, Jiawei Zhang

机构 * IFM Lab, University of California, Davis（加州大学戴维斯分校IFM实验室） 纠错

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.CV

AI总结 本文提出了一种诊断评估框架，系统研究AI生成驾驶视频在自动驾驶训练和评估中的可靠性，通过分析失败模式和构建基准测试，验证了过滤AIGVs可提升性能并补充现实数据。

DriveFlow: Rectified Flow Adaptation for Robust 3D Object Detection in Autonomous Driving

DriveFlow: 用于自动驾驶中鲁棒3D目标检测的校正流适应

Hongbin Lin, Yiming Yang, Chaoda Zheng, Yifan Zhang, Shuaicheng Niu, Zilu Guo, Yafeng Li, Gui Gui, Shuguang Cui, Zhen Li

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.CV

AI总结 DriveFlow通过校正流适应方法提升自动驾驶中3D目标检测的鲁棒性，利用预训练文本到图像流模型实现高效的数据增强。

Comments Accepted by AAAI 2026

Anomaly Detection in Autonomous Driving: A Survey

自动驾驶中的异常检测：综述

Daniel Bogdoll, Maximilian Nitsche, J. Marius Zöllner

机构 * FZI Research Center for Information Technology（FZI信息科技研究中心） ； KIT Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院） 纠错

专题命中 感知 ：autonomous driving(title)；LiDAR(abstract)；分类 cs.RO

AI总结 本文综述了自动驾驶中基于多种传感器数据的异常检测技术，系统化分类了检测方法和边缘案例级别，并指出现有研究的不足。

Comments Daniel Bogdoll and Maximilian Nitsche contributed equally. Accepted for publication at CVPR 2022 WAD workshop

AttentiveGRU: Recurrent Spatio-Temporal Modeling for Advanced Radar-Based BEV Object Detection

Loveneet Saini, Mirko Meuter, Hasan Tercan, Tobias Meisen

专题命中 感知 ：BEV(title,abstract)；分类 cs.CV

MambaTrack3D: A State Space Model Framework for LiDAR-Based Object Tracking under High Temporal Variation

Shengjing Tian, Yinan Han, Xiantong Zhao, Xuehu Liu, Qi Lang

机构 * School of Economics and Management, China University of Mining and Technology（经济管理学院，中国矿业大学） 纠错

专题命中 感知 ：LiDAR(title,abstract)；分类 cs.CV

Comments This work has been submitted to a journal for possible publication

V2VLoc: Robust GNSS-Free Collaborative Perception via LiDAR Localization

Wenkai Lin, Qiming Xia, Wen Li, Xun Huang, Chenglu Wen

专题命中 感知 ：LiDAR(title,abstract)；分类 cs.CV

Comments AAAI2026

T2I-Based Physical-World Appearance Attack against Traffic Sign Recognition Systems in Autonomous Driving

Chen Ma, Ningfei Wang, Junhao Zheng, Qing Guo, Qian Wang, Qi Alfred Chen, Chao Shen

机构 * Xi’an Jiaotong University（西安交通大学） ； University of California, Irvine（加州大学 Irvine 分校） ； Nankai University（南开大学） ； Wuhan University（武汉大学） 纠错

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.CV

Comments 16 pages, 12 figures

RadarMP: Motion Perception for 4D mmWave Radar in Autonomous Driving

Ruiqi Cheng, Huijun Di, Jian Li, Feng Liu, Wei Liang

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.CV

Comments 12 pages, 6 figures. Accepted by AAAI 2026

Adaptive LiDAR Scanning: Harnessing Temporal Cues for Efficient 3D Object Detection via Multi-Modal Fusion

Sara Shoouri, Morteza Tavakoli Taba, Hun-Seok Kim

专题命中 感知 ：LiDAR(title,abstract)；分类 cs.CV

Comments Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2026

MOBA: A Material-Oriented Backdoor Attack against LiDAR-based 3D Object Detection Systems

Saket S. Chaturvedi, Gaurav Bagwe, Lan Zhang, Pan He, Xiaoyong Yuan

专题命中 感知 ：LiDAR(title,abstract)；分类 cs.CV

Comments Accepted at AAAI 2026 Conference

Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving

Yi Huang, Zhan Qu, Lihui Jiang, Bingbing Liu, Hongbo Zhang

机构 * The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）） ； Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.RO

Comments Accepted at NeurIPS 2025

Compressing Multi-Task Model for Autonomous Driving via Pruning and Knowledge Distillation

Jiayuan Wang, Q. M. Jonathan Wu, Ning Zhang, Katsuya Suto, Lei Zhong

机构 * University of Windsor（温莎大学） ； Hokkaido University（北海道大学） ； Toyota Motor Corporation（丰田汽车公司） 纠错

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.CV

Energy-Efficient Autonomous Driving with Adaptive Perception and Robust Decision

Yuyang Xia, Zibo Liang, Liwei Deng, Yan Zhao, Han Su, Kai Zheng

机构 * University of Electronic Science and Technology of China（电子科学与技术大学） ； Aalborg University（奥尔堡大学） ； Shenzhen Institute for Advanced Study（深圳先进研究 institute） ； Yangtze Delta Region Institute(Quzhou)（长江三角洲地区研究所） 纠错

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.AI

Comments It was accepted by ICDE2026

MIC-BEV: Multi-Infrastructure Camera Bird's-Eye-View Transformer with Relation-Aware Fusion for 3D Object Detection

Yun Zhang, Zhaoliang Zheng, Johnson Liu, Zhiyu Huang, Zewei Zhou, Zonglin Meng, Tianhui Cai, Jiaqi Ma

机构 * University of California, Los Angeles（加州大学洛杉矶分校） 纠错

专题命中 感知 ：BEV(title,abstract)；分类 cs.CV

Kinematic Analysis and Integration of Vision Algorithms for a Mobile Manipulator Employed Inside a Self-Driving Laboratory

Shifa Sulaiman, Tobias Busk Jensen, Stefan Hein Bengtson, Simon Bøgh

专题命中 感知 ：self-driving(title,abstract)；分类 cs.RO

Comments International Journal of Intelligent Robotics and Applications 2025

Journal ref International Journal of Intelligent Robotics and Applications 2025

Unsupervised Monocular Road Segmentation for Autonomous Driving via Scene Geometry

Sara Hatami Rostami, Behrooz Nasihatkon

机构 * K.N. Toosi University of Technology（凯恩·托西技术大学） 纠错

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.CV

Comments 7 pages, 3 figures

UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection

Xin Jin, Haisheng Su, Kai Liu, Cong Ma, Wei Wu, Fei Hui, Junchi Yan

机构 * School of Computer Science, Shanghai Jiao Tong University（上海交通大学计算机科学学院） ； Chang’an University（长安大学） ； SenseAuto Research（SenseAuto研究院） ； Tsinghua University（清华大学） 纠错

专题命中 感知 ：LiDAR(title,abstract)；分类 cs.CV

Comments Accepted to CVPR2025

Hints of Prompt: Enhancing Visual Representation for Multimodal LLMs in Autonomous Driving

Hao Zhou, Zhanning Gao, Zhili Chen, Maosheng Ye, Qifeng Chen, Tongyi Cao, Honggang Qi

机构 * University of Chinese Academy of Sciences（中国科学院大学） ； The Hong Kong University of Science and Technology（香港科技大学） 纠错

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.CV

UrbanTwin: Building High-Fidelity Digital Twins for Sim2Real LiDAR Perception and Evaluation

Muhammad Shahbaz, Shaurya Agarwal

机构 * Department of Civil, Environmental and Construction Engineering, University of Central Florida（土木、环境与建设工程系，中央佛罗里达大学） 纠错

专题命中 感知 ：LiDAR(title,abstract)；分类 cs.CV

Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances

Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Wei-Chieh Huang, Yangning Li, Liancheng Fang, Zhen Wang, Philip S. Yu

机构 * The University of Tokyo（东京大学） ； Cornell University（康奈尔大学） ； University of Illinois Chicago（伊利诺伊大学香槟分校） 纠错

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.AI

Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs

Hanieh Shojaei Miandashti, Claus Brenner

机构 * Leibniz University Hannover（莱布尼茨汉诺威大学） 纠错

专题命中 感知 ：LiDAR(title,abstract)；分类 cs.CV

Robust Object Detection for Autonomous Driving via Curriculum-Guided Group Relative Policy Optimization

Xu Jia

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.CV

Comparative Analysis of YOLOv5, Faster R-CNN, SSD, and RetinaNet for Motorbike Detection in Kigali Autonomous Driving Context

Ngeyen Yinkfu, Sunday Nwovu, Jonathan Kayizzi, Angelique Uwamahoro

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.CV

Comments 3 figures, 2 tables

V2X-UniPool: Unifying Multimodal Perception and Knowledge Reasoning for Autonomous Driving

Xuewen Luo, Fengze Yang, Fan Ding, Xiangbo Gao, Shuo Xing, Yang Zhou, Zhengzhong Tu, Chenxi Liu

机构 * University of Utah（犹他大学） ； Monash University（莫纳什大学） ； Texas A&M University（德克萨斯农工大学） 纠错

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.AI

Beyond Overall Accuracy: Pose- and Occlusion-driven Fairness Analysis in Pedestrian Detection for Autonomous Driving

Mohammad Khoshkdahan, Arman Akbari, Arash Akbari, Xuan Zhang

机构 * Institute of Applied Informatics and Formal Description Methods, Karlsruhe Institute of Technology（应用信息学院与形式描述方法研究所，卡尔斯鲁厄技术大学） ； Department of Electrical and Computer Engineering, Northeastern University（电气与计算机工程系，东北大学） 纠错

专题命中 感知 ：autonomous driving(title,abstract)；分类 cs.CV

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