自动驾驶

VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention

Shengheng Deng, Zhihao Liang, Lin Sun, Kui Jia

专题命中 感知 ：autonomous driving(abstract)；BEV(abstract)；LiDAR(abstract)；分类 cs.CV

Comments Accepted by CVPR2022

Simulation-to-Reality domain adaptation for offline 3D object annotation on pointclouds with correlation alignment

Weishuang Zhang, B Ravi Kiran, Thomas Gauthier, Yanis Mazouz, Theo Steger

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；driving perception(abstract)；分类 cs.CV

Comments Accepted at IMPROVE 2022

Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving

James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun

专题命中 感知 ：self-driving(abstract)；LiDAR(abstract)；driving perception(abstract)；分类 cs.CV

Improved Pillar with Fine-grained Feature for 3D Object Detection

Jiahui Fu, Guanghui Ren, Yunpeng Chen, Si Liu

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；driving perception(abstract)；分类 cs.CV

Comments 8 pages, 6 figures

PolarNet: Accelerated Deep Open Space Segmentation Using Automotive Radar in Polar Domain

Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor, Elnaz Jahani Heravi, Fahed Al Hassanat, Robert Laganiere, Julien Rebut, Waqas Malik

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；occupancy(abstract)；分类 cs.CV

Object-Centric Stereo Matching for 3D Object Detection

Alex D. Pon, Jason Ku, Chengyao Li, Steven L. Waslander

专题命中 感知 ：autonomous driving(abstract)；BEV(abstract)；LiDAR(abstract)；分类 cs.CV

Comments Accepted in ICRA 2020

Road Curb Detection Using A Novel Tensor Voting Algorithm

Yilong Zhu, Dong Han, Bohuan Xue, Jianhao Jiao, Zuhao Zou, Ming Liu, Rui Fan

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

Comments 6 pages, 12 figures, The 2019 IEEE International Conference on Robotics and Biomimetics

Exploring OpenStreetMap Availability for Driving Environment Understanding

Yang Zheng, Izzat H. Izzat, John H. L. Hansen

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；driving perception(abstract)；分类 cs.AI

Comments 12 pages, 16 figures

NARRATE: A Multimodal Real-World Australian Driving Dataset for Human-Centred Explanations in Automated Driving

NARRATE：用于自动驾驶中以人为本解释的多模态真实世界澳大利亚驾驶数据集

Ashkan Yousefi Zadeh, Zishuo Zhu, Xiaomeng Li, Andry Rakotonirainy, Sebastien Glaser, Ronald Schroeter, Patricia Delhomme, Zahra Mehraban

机构 * ARC Training Centre for Automated Vehicles in Rural and Remote Regions (AVR3)（澳大利亚农村及偏远地区自动驾驶车辆ARC培训中心） ； Université Gustave Eiffel（Gustave Eiffel大学） ； Queensland University of Technology (QUT)（昆士兰科技大学） 纠错

专题命中 感知 ：LiDAR(abstract,abstract_cn)；分类 cs.RO、cs.CV、cs.AI；autonomous driving(comments)

AI总结 研究人员推出多模态真实世界澳大利亚驾驶数据集NARRATE，含2050个带注释事件，提供多类标签与情境意识注释，开展四项基准任务验证其价值，为开发以人为本的自动驾驶解释模型奠定基础。

Comments Accepted at The 19th European Conference on Computer Vision (ECCV 2026) DriveX Workshop (Foundation Models for Autonomous Driving)

Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection

Nils Gählert, Nicolas Jourdan, Marius Cordts, Uwe Franke, Joachim Denzler

专题命中 感知 ：autonomous driving(abstract,comments)；LiDAR(abstract)；分类 cs.RO、cs.CV、eess.IV

Comments 2020 "Scalability in Autonomous Driving" CVPR Workshop

Effort-Based Criticality Metrics for Evaluating 3D Perception Errors in Autonomous Driving

基于努力的临界度量指标用于评估自动驾驶中的3D感知误差

Sharang Kaul, Simon Bultmann, Mario Berk, Abhinav Valada

机构 * CARIAD SE ； University of Freiburg（弗莱堡大学） 纠错

专题命中 感知 ：autonomous driving(title)；分类 cs.RO、cs.CV

AI总结 本文提出基于努力的临界度量指标，通过FSR、MDR和LEA量化自动驾驶中3D感知误差的严重性，揭示非关键性误差占比高，验证新指标能捕捉安全关键信息。

Comments Accepted at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2026

Conditional Flow Matching for Continuous Anomaly Detection in Autonomous Driving on a Manifold-Aware Spectral Space

基于流匹配的连续异常检测：面向自动驾驶的流形感知频谱空间

Antonio Guillen-Perez

机构 * Independent Researcher（独立研究者） 纠错

专题命中 感知 ：autonomous driving(title)；分类 cs.RO、cs.AI

AI总结 Deep-Flow通过流匹配技术在频谱空间中实现连续异常检测，利用运动学平滑性和低秩流形约束，提升自动驾驶安全验证的准确性与可靠性。

Chamelion: Reliable Change Detection for Long-Term LiDAR Mapping in Transient Environments

Chamelion：在瞬态环境中实现长期LiDAR映射的可靠变化检测

Seoyeon Jang, Alex Junho Lee, I Made Aswin Nahrendra, Hyun Myung

机构 * School of Electrical Engineering, KAIST (Korea Advanced Institute of Science and Technology)（韩国科学技术院电子工程学院） ； Department of Electrical Mechanical Systems Engineering, Sookmyung Women’s University（成均馆女子大学电气机械系统工程系） ； KRAFTON 纠错

专题命中 感知 ：LiDAR(title)；分类 cs.RO、cs.CV

AI总结 Chamelion通过双头网络实现在线变化检测和长期LiDAR地图维护，利用数据增强策略提升在瞬态环境中的地图更新效率与准确性。

Comments 8 pages, IEEE Robot. Automat. Lett. (RA-L) 2026

Correcting Autonomous Driving Object Detection Misclassifications with Automated Commonsense Reasoning

通过自动化常识推理纠正自动驾驶目标检测的误分类

Keegan Kimbrell, Wang Tianhao, Feng Chen, Gopal Gupta

专题命中 感知 ：autonomous driving(title)；分类 cs.RO、cs.AI

AI总结 本文提出利用自动化常识推理技术纠正自动驾驶目标检测的误分类问题，通过模拟实验验证了混合模型在异常道路场景下的有效性。

Comments In Proceedings ICLP 2025, arXiv:2601.00047

Journal ref EPTCS 439, 2026, pp. 128-142

Bootstrapping Reinforcement Learning with Sub-optimal Policies for Autonomous Driving

Zhihao Zhang, Chengyang Peng, Ekim Yurtsever, Keith A. Redmill

机构 * The Ohio State University（俄亥俄州立大学） 纠错

专题命中 感知 ：autonomous driving(title)；分类 cs.RO、cs.AI

From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous Driving

Korbinian Moller, Luis Schwarzmeier, Johannes Betz

专题命中 感知 ：autonomous driving(title)；分类 cs.RO、cs.CV

Comments 8 Pages. Submitted to the IEEE Intelligent Vehicles Symposium (IV 2025), Romania

An Evolutionary Game-Theoretic Merging Decision-Making Considering Social Acceptance for Autonomous Driving

Haolin Liu, Zijun Guo, Yanbo Chen, Jiaqi Chen, Huilong Yu, Junqiang Xi

机构 * School of Mechanical Engineering（机械工程学院） ； Beijing Institute of Technology（北京理工大学） 纠错

专题命中 感知 ：autonomous driving(title)；分类 cs.RO、cs.AI

Journal ref 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)

Methods for the Segmentation of Reticular Structures Using 3D LiDAR Data: A Comparative Evaluation

Francisco J. Soler Mora, Adrián Peidró Vidal, Marc Fabregat-Jaén, Luis Payá Castelló, Óscar Reinoso García

专题命中 感知 ：LiDAR(title)；分类 cs.RO、cs.CV

Journal ref Computer Modeling in Engineering & Sciences, 143, 2025, 3167-3195

RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud

Mohamed Nagy, Naoufel Werghi, Bilal Hassan, Jorge Dias, Majid Khonji

专题命中 感知 ：LiDAR(title)；分类 cs.RO、cs.CV

Hyperspectral Imaging-Based Perception in Autonomous Driving Scenarios: Benchmarking Baseline Semantic Segmentation Models

Imad Ali Shah, Jiarong Li, Martin Glavin, Edward Jones, Enda Ward, Brian Deegan

专题命中 感知 ：autonomous driving(title)；分类 cs.CV、cs.AI

Comments Accepted and Presented at IEEE WHISPERS 2024

Journal ref In 2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), pp. 1-5

Towards Latency-Aware 3D Streaming Perception for Autonomous Driving

Jiaqi Peng, Tai Wang, Jiangmiao Pang, Yuan Shen

机构 * Department of Electronic Engineering, Tsinghua University（电子工程系，清华大学） ； Shanghai AI Laboratory（上海人工智能实验室） 纠错

专题命中 感知 ：autonomous driving(title)；分类 cs.RO、cs.CV

CurbNet: Curb Detection Framework Based on LiDAR Point Cloud Segmentation

Guoyang Zhao, Fulong Ma, Weiqing Qi, Yuxuan Liu, Ming Liu, Jun Ma

专题命中 感知 ：LiDAR(title)；分类 cs.RO、cs.CV

A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer towards Autonomous Driving

Dianzhao Li, Ostap Okhrin

专题命中 感知 ：autonomous driving(title)；分类 cs.RO、cs.AI

Learning autonomous driving from aerial imagery

Varun Murali, Guy Rosman, Sertac Karaman, Daniela Rus

专题命中 感知 ：autonomous driving(title)；分类 cs.RO、cs.CV

Comments Presented at IROS 2024

AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving

Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker

专题命中 感知 ：autonomous driving(title)；分类 cs.CV、cs.AI

Comments Accepted by CVPR-2024

Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery

Aitor Martinez Seras, Javier Del Ser, Pablo Garcia-Bringas

专题命中 感知 ：autonomous driving(title)；分类 cs.CV、cs.AI

Comments 8 pages, 5 figures, presented at ITSC2023

Improving Efficiency of DNN-based Relocalization Module for Autonomous Driving with Server-side Computing

Dengbo Li, Jieren Cheng, Boyi Liu

专题命中 感知 ：autonomous driving(title)；分类 cs.RO、cs.CV

Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach

Zahra Chaghazardi, Saber Fallah, Alireza Tamaddoni-Nezhad

专题命中 感知 ：autonomous driving(title)；分类 cs.CV、cs.AI

Comments In Proceedings ICLP 2023, arXiv:2308.14898

Journal ref EPTCS 385, 2023, pp. 201-212

WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models

Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha

专题命中 感知 ：autonomous driving(title)；分类 cs.CV、cs.AI

Comments Accepted in Vision Datasets Understanding at CVPR 2023

Lidar based 3D Tracking and State Estimation of Dynamic Objects

Patil Shubham Suresh, Gautham Narayan Narasimhan

专题命中 感知 ：LiDAR(title)；分类 cs.RO、cs.CV

Comments 6 pages, 12 figures, Carnegie Mellon University work