自动驾驶

RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding

Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.CV、eess.IV

Comments 14 pages, 10 figures; CVPR 2022

UnPWC-SVDLO: Multi-SVD on PointPWC for Unsupervised Lidar Odometry

Yiming Tu

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.RO、cs.CV

LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM

Daniele Cattaneo, Matteo Vaghi, Abhinav Valada

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments Accepted to IEEE Transactions on Robotics (T-RO), 2022

On Enhancing Ground Surface Detection from Sparse Lidar Point Cloud

Bo Li

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments IROS 2019

MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square

Yue Pan, Pengchuan Xiao, Yujie He, Zhenlei Shao, Zesong Li

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments Codes: https://github.com/YuePanEdward/MULLS, Accepted by ICRA 2021

ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation

Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.CV、cs.AI

Comments Accepted by AAAI 2021

OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression

Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun

专题命中 激光雷达 ：LiDAR(title,abstract)；self-driving(abstract)；分类 cs.CV、eess.IV

Comments CVPR 2020 (Oral)

FLIC: Fast Lidar Image Clustering

Frederik Hasecke, Lukas Hahn, Anton Kummert

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments 9 pages, 10 figures, accepted to appear in ICPRAM 2021

FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point Clouds

Tai Wang, Conghui He, Zhe Wang, Jianping Shi, Dahua Lin

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments Full technical report for the UIST 2020 Poster version

Fast Synthetic LiDAR Rendering via Spherical UV Unwrapping of Equirectangular Z-Buffer Images

Mohammed Hossny, Khaled Saleh, Mohammed Attia, Ahmed Abobakr, Julie Iskander

专题命中 激光雷达 ：LiDAR(title,abstract)；self-driving(abstract)；分类 cs.CV、eess.IV

Comments This version has been removed by arXiv administrators as the submitter did not have the right to agree to the license at the time of submission

Real-Time Spatio-Temporal LiDAR Point Cloud Compression

Yu Feng, Shaoshan Liu, Yuhao Zhu

专题命中 激光雷达 ：LiDAR(title,abstract)；self-driving(abstract)；分类 cs.RO、eess.IV

Journal ref 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

LiDAR Data Enrichment Using Deep Learning Based on High-Resolution Image: An Approach to Achieve High-Performance LiDAR SLAM Using Low-cost LiDAR

Jiang Yue, Weisong Wen, Jing Han, Li-Ta Hsu

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.RO、cs.CV

LIBRE: The Multiple 3D LiDAR Dataset

Alexander Carballo, Jacob Lambert, Abraham Monrroy-Cano, David Robert Wong, Patiphon Narksri, Yuki Kitsukawa, Eijiro Takeuchi, Shinpei Kato, Kazuya Takeda

专题命中 激光雷达 ：LiDAR(title,abstract)；self-driving(abstract)；分类 cs.RO、cs.CV

Comments Accepted for oral presentation at IEEE Intelligent Vehicles Symposium (IV2020), https://2020.ieee-iv.org/ LIBRE dataset available at https://sites.google.com/g.sp.m.is.nagoya-u.ac.jp/libre-dataset/ Reference video available at https://youtu.be/rWyecoCtKcQ

DMLO: Deep Matching LiDAR Odometry

Zhichao Li, Naiyan Wang

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.RO、cs.CV

Training a Fast Object Detector for LiDAR Range Images Using Labeled Data from Sensors with Higher Resolution

Manuel Herzog, Klaus Dietmayer

专题命中 激光雷达 ：LiDAR(title,abstract)；self-driving(abstract)；分类 cs.RO、cs.CV

Journal ref 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019, pp. 2707-2713

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, Juergen Gall

专题命中 激光雷达 ：LiDAR(title,abstract)；self-driving(abstract)；分类 cs.RO、cs.CV

Comments ICCV2019. See teaser video at http://bit.ly/SemanticKITTI-teaser

End-to-end sensor modeling for LiDAR Point Cloud

Khaled Elmadawi, Moemen Abdelrazek, Mohamed Elsobky, Hesham M. Eraqi, Mohamed Zahran

专题命中 激光雷达 ：LiDAR(title,abstract)；self-driving(abstract)；分类 cs.CV、eess.IV

Comments Accepted in IEEE Intelligent Transportation Systems Conference - ITSC 2019

Road Segmentation with Image-LiDAR Data Fusion

Huafeng Liu, Yazhou Yao, Zeren Sun, Xiangrui Li, Ke Jia, Zhenmin Tang

专题命中 激光雷达 ：LiDAR(title,abstract)；self-driving(abstract)；分类 cs.CV、eess.IV

Comments Accepted by Multimedia Tools and Applications

LIMO: Lidar-Monocular Visual Odometry

Johannes Graeter, Alexander Wilczynski, Martin Lauer

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.RO、eess.IV

Comments Accepted at IROS 2018

Benchmarking Visual Feature Representations for LiDAR-Inertial-Visual Odometry Under Challenging Conditions

在恶劣条件下对激光雷达-惯性-视觉里程计的视觉特征表示进行基准测试

Eunseon Choi, Junwoo Hong, Daehan Lee, Sanghyun Park, Hyunyoung Jo, Sunyoung Kim, Changho Kang, Seongsam Kim, Yonghan Jung, Jungwook Park, Seul Koo, Soohee Han

机构 * Department of Covergence IT Engineering, Pohang University of Science and Technology(POSTECH)（convergence IT工程系，POSTECH大学） ； School of Mechanical Engineering, Kunsan National University（机械工程学院，库山国立大学） ； Department of Artificial Intelligence and Robotics, Sejong University（人工智能与机器人系，世宗大学） ； Disaster Scientific Investigation Division Disaster Investigation Technology Team, National Disaster Management Research Institute, Ministry of the Interior and Safety（灾害科学调查 division 灾害调查技术团队，国家灾害管理研究所，内政与安全部） ； Department of Electrical Engineering, POSTECH（电气工程系，POSTECH大学） 纠错

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.RO

AI总结 本文提出一种混合方法，结合直接光度法和基于描述符的特征匹配，提升在恶劣条件下的视觉里程计性能。

Comments 14 pages, Publised IEEE Access2026

Journal ref E. Choi et al., "Benchmarking Visual Feature Representations for LiDAR-Inertial-Visual Odometry Under Challenging Conditions," in IEEE Access, vol. 14, pp. 30186-30199, 2026

PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector

Kaidong Li, Tianxiao Zhang, Kuan-Chuan Peng, Guanghui Wang

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract,comments)；分类 cs.CV

Comments This paper is accepted to the CVPR 2025 Workshop on Distillation of Foundation Models for Autonomous Driving (WDFM-AD)

Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous Driving

Sándor Kunsági-Máté, Levente Pető, Lehel Seres, Tamás Matuszka

专题命中 激光雷达 ：autonomous driving(title,comments)；self-driving(abstract)；LiDAR(abstract)；分类 cs.CV

Comments Accepted at the 2nd Workshop on Vision-Centric Autonomous Driving (VCAD) as part of ECCV 2024

MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibration

Mathieu Cocheteux, Julien Moreau, Franck Davoine

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract,comments)；分类 cs.CV

Comments Accepted at CVPR 2024 Workshop on Autonomous Driving. Copyright 2024 IEEE

TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation

Rong Li, ShiJie Li, Xieyuanli Chen, Teli Ma, Juergen Gall, Junwei Liang

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract,comments)；分类 cs.CV

Comments accepted by CVPR2024 Workshop on Autonomous Driving

Stress-Testing Point Cloud Registration on Automotive LiDAR

Amnon Drory, Shai Avidan, Raja Giryes

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract,comments)；分类 cs.CV

Comments Accepted to the NeurIPS 2022 workshop on Machine Learning for Autonomous Driving. Project Page: https://github.com/AmnonDrory/LidarRegistration

Unsupervised confidence for LiDAR depth maps and applications

Andrea Conti, Matteo Poggi, Filippo Aleotti, Stefano Mattoccia

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.CV

Comments IROS 2022. Code available at https://github.com/andreaconti/lidar-confidence

HPERL: 3D Human Pose Estimation from RGB and LiDAR

Michael Fürst, Shriya T. P. Gupta, René Schuster, Oliver Wasenmüller, Didier Stricker

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.CV

Comments 7 pages, 6 figures, 4 tables, LiDAR and RGB Fusion

3D Point Cloud Processing and Learning for Autonomous Driving

Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington

专题命中 激光雷达 ：autonomous driving(title,abstract)；LiDAR(abstract)；分类 cs.CV

Comments IEEE Signal Processing Magazine, Special Issue on Autonomous Driving

Generalized-CVO: Fast and Correspondence-Free Local Point Cloud Registration with Second Order Riemannian Optimization

广义CVO：基于二阶黎曼优化的快速无对应局部点云配准

Ray Zhang, Marcus Greiff, Thomas Lew, John Subosits

机构 * Toyota Research Institute（丰田研究院） 纠错

专题命中 激光雷达 ：LiDAR(summary_cn,abstract)；分类 cs.RO、cs.CV、cs.AI

AI总结 提出一种基于几何表面结构和再生核希尔伯特空间嵌入的无对应局部点云配准方法，采用二阶流形优化实现高达10倍加速，在LiDAR和RGB-D跟踪及物体配准中显著降低漂移并提升鲁棒性。

Comments 16 pages, 12 figures

GhostPoint: Self-Supervised Representation Learning by Hallucinating Occluded LiDAR Structure

GhostPoint：通过幻觉生成被遮挡的激光雷达结构实现自监督表示学习

Mohamed Abdelsamad, Bin Yang, Michael Ulrich, Miao Zhang, Yakov Miron, Alexandru Paul Condurache, Abhinav Valada

机构 * Bosch Center for AI（博世人工智能中心） ； University of Freiburg（弗莱堡大学） ； University of Luebeck（吕贝克大学） 纠错

专题命中 激光雷达 ：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.CV

AI总结 GhostPoint是一种自监督学习框架，通过实例体素膨胀幻觉生成激光雷达被遮挡区域特征，在nuScenes和Waymo数据集上提升了下游3D检测性能，尤其适用于稀疏扫描和有限标签场景。

Comments Accepted by ECCV2026