自动驾驶

Lisco: A Continuous Approach in LiDAR Point-cloud Clustering

Hannaneh Najdataei, Yiannis Nikolakopoulos, Vincenzo Gulisano, Marina Papatriantafilou

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

LiDAR and Inertial Fusion for Pose Estimation by Non-linear Optimization

Haoyang Ye, Ming Liu

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

Comments 7 pages, 13 figures, submitted to ICRA 2018

Combining LiDAR Space Clustering and Convolutional Neural Networks for Pedestrian Detection

Damien Matti, Hazım Kemal Ekenel, Jean-Philippe Thiran

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

Offline reconstruction of missing vehicle trajectory data from 3D LIDAR

Cem Sazara, Reza Vatani Nezafat, Mecit Cetin

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

Journal ref Intelligent Vehicles Symposium (IV), 2017 IEEE, 792-797

Probabilistic Surfel Fusion for Dense LiDAR Mapping

Chanoh Park, Soohwan Kim, Peyman Moghadam, Clinton Fookes, Sridha Sridharan

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

Comments Accepted in Multiview Relationships in 3D Data 2017 (IEEE International Conference on Computer Vision Workshops)

CNN for Very Fast Ground Segmentation in Velodyne LiDAR Data

Martin Velas, Michal Spanel, Michal Hradis, Adam Herout

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

Comments ICRA 2018 submission

Remote sensing of forests using discrete return airborne LiDAR

Hamid Hamraz, Marco A. Contreras

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

Comments This manuscript is a book chapter that has provisionally been accepted to be published in "Recent Advances and Applications in Remote Sensing", ISBN 978-953-51-5564-5. Ed.: Hung, Ming Cheh. InTechOpen. The chapter summarizes novel methods from four recently published journal ppapers by the authors in a concise and cohesive manner

Vertical stratification of forest canopy for segmentation of under-story trees within small-footprint airborne LiDAR point clouds

Hamid Hamraz, Marco A. Contreras, Jun Zhang

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

Journal ref ISPRS Journal of Photogrammetry and Remote Sensing 130C (2017) pp. 385-392

Integration of LiDAR and Hyperspectral Data for Land-cover Classification: A Case Study

Pedram Ghamisi, Gabriele Cavallaro, Dan, Wu, Jon Atli Benediktsson, Antonio Plaza

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

LiDAR point clouds correction acquired from a moving car based on CAN-bus data

Pierre Merriaux, Yohan Dupuis, Rémi Boutteau, Pascal Vasseur, Xavier Savatier

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

Toward a new approach for massive LiDAR data processing

V-H Cao, K-X Chu, Nhien-An Le-Khac, M-T Kechadi, Debra F. Laefer, Linh Truong-Hong

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

LIDAR-based Driving Path Generation Using Fully Convolutional Neural Networks

Luca Caltagirone, Mauro Bellone, Lennart Svensson, Mattias Wahde

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

Comments Changed title, formerly "Simultaneous Perception and Path Generation Using Fully Convolutional Neural Networks"

A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery

Juheon Lee, David Coomes, Carola-Bibiane Schonlieb, Xiaohao Cai, Jan Lellmann, Michele Dalponte, Yadvinder Malhi, Nathalie Butt, Mike Morecroft

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

Road Curb Extraction from Mobile LiDAR Point Clouds

Sheng Xu, Ruisheng Wang, Han Zheng

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

Journal ref IEEE Transactions on Geoscience and Remote Sensing, Volume:PP , Issue: 99, 2016

High-resolution LIDAR-based Depth Mapping using Bilateral Filter

C. Premebida, L. Garrote, A. Asvadi, A. Pedro Ribeiro, U. Nunes

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

Comments 8 pages, 6 figures, submitted to IEEE-ITSC'16

LiDAR Ground Filtering Algorithm for Urban Areas Using Scan Line Based Segmentation

Lei Wang, Yongun Zhang

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

3D Terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: applications in geomorphology

Nicolas Brodu, Dimitri Lague

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

Comments Free/Libre software implementation is available at http://nicolas.brodu.numerimoire.net, as well as data sets

A solution of LIDAR problem in double scattering approximation

Sergey Leble, Alexei Buzdin

专题命中 激光雷达 ：LiDAR(title,abstract)

Comments This publication is an authorized translation (by S. Leble) of a bad-published paper from 20.06.1980 (available in its original version: http://www.mif.pg.gda.pl/krrizm/page/leble/publications.html, 140); Lidar Problem Solution in Double-Scattering Approximation VINITI N2536-80dep (1980) 126

Physics-Grounded Monocular Vehicle Distance Estimation Using Standardized License Plate Typography

基于标准化车牌字体的单目车辆距离估计

Manognya Lokesh Reddy, Zheng Liu

机构 * Department of Computer and Information Science, University of Michigan-Dearborn（1计算机与信息科学系，密歇根大学-迪尔伯恩分校） ； Department of Industrial and Manufacturing Systems Engineering, University of Michigan-Dearborn（2工业与制造系统工程系，密歇根大学-迪尔伯恩分校） 纠错

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

AI总结 本文提出了一种利用美国标准化车牌字体作为被动标记进行车辆距离估计的方法，通过显式的几何先验知识解决尺度模糊问题，无需训练数据或主动照明，实现了鲁棒的距离、相对速度和碰撞预警。

Comments 29 pages, 12 figures

RadiusFPS: Efficient Farthest Point Sampling on CPUs and GPUs via Spherical Voxel Pruning

RadiusFPS：通过球形体素剪枝在CPU和GPU上实现高效最远点采样

Ziyang Yu, Xiang Li, Qiong Chang, Jun Miyazaki

机构 * School of Computing（计算学院） ； Institute of Science（科学研究院） ； Tokyo（东京） 纠错

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

AI总结 提出RadiusFPS框架，利用球形体素剪枝加速最远点采样（FPS），在保持标准更新规则的同时，通过保守几何边界和坐标点跳过测试减少冗余计算，并在GPU上实现融合核，显著提升速度并降低内存占用。

Comments 28 pages,15 figures

Roadside LiDAR for Cooperative Safety Auditing at Urban Intersections: Toward Auditable V2X Infrastructure Intelligence

道路激光雷达用于城市交叉口协作安全审计：迈向可审计的V2X基础设施智能

Bo Shang, Yiqiao Li

专题命中 激光雷达 ：LiDAR(title,abstract)

AI总结 本文提出一种可审计的道路激光雷达框架，用于评估纽约城市信号交叉口的基础设施安全，通过轨迹构建、迭代人工在环质量保证和可解释的近失分析，减少故障模式，展示道路激光雷达作为协作感知系统后验审计机制的可行性。

Comments 9 pages, 7 figures, 2026 CVPR DriveX Workshop

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2026, pp. 757-765

Inherently unpredictable beam steering for quantum LiDAR

固有不可预测的量子雷达光束定向

Junyeop Kim, Dongjin Lee, Woncheol Shin, Yeoulheon Seong, Heedeuk Shin

专题命中 激光雷达 ：LiDAR(title,abstract)

AI总结 本研究提出了一种固有不可预测的量子雷达光束定向方法，通过光子对中的波长随机性实现不可预测的衍射方向，从而显著提升信号与噪声比，为量子增强传感开辟新途径。

Comments Main text (11 pages and 5 figures), Supplementary information (9 pages and 7 figures)

Journal ref Laser Photonics Rev. 2026, e71592

Two-photon dual-comb LiDAR imaging

双光子双梳激光雷达成像

Alexander J. M. Nelmes, Simon Fletcher, Andrew Longstaff, Jake M. Charsley, Hollie Wright, Derryck T. Reid

专题命中 激光雷达 ：LiDAR(title,abstract)

AI总结 本文提出一种基于双光子双梳测距的激光雷达成像方法，利用皮秒级激光脉冲飞行时间实现厘米级点云数据集，具有微米级精度和高精度测量能力，适用于光学质量差的不连续表面。

Comments 4 pages

PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment

PRISA：用于交叉路口安全评估的主动式基础设施激光雷达框架

Tam Bang, Hussam Abubakr, Emiliano de la Garza Villarreal, Truc Phuong Nguyen, Austin Harris, Toru Hirano, Mina Sartipi, Yunfei Xu, Hoang H. Nguyen

机构 * University of Tennessee at Chattanooga（田纳西大学查塔努加分校） 纠错

专题命中 激光雷达 ：LiDAR(title,abstract)

AI总结 研究针对城市交叉路口危险问题，提出PRISA框架，利用隐私保护、低光鲁棒的路边传感器，通过自动整理训练数据训练轨迹预测模型，进行连续运动预测和双重替代安全评估，经实验验证其在交叉路口安全监测方面具有实际可行性。

Comments Accepted for publication at the 2026 IEEE 29th International Conference on Intelligent Transportation Systems (ITSC 2026). 8 pages, 2 figures

Detecting clear-air turbulence via beam broadening in a Rayleigh-scattering lidar system

通过瑞利散射激光雷达系统中的光束展宽检测晴空湍流

Christopher Miller, Daniel Lum, Brandon Rodenburg, Michael Stenner, Anthony DiCarlo, Bradford Snios, Paul D. Williams

专题命中 激光雷达 ：LiDAR(title,abstract)

AI总结 研究提出利用瑞利散射激光雷达，通过差分探测器测量光束展宽估计涡耗散率来探测晴空湍流的方法，实验验证了相关模型有效性，该方法可使受限系统探测范围超30公里，提升了航空安全保障能力。

Development of a Raman Lidar for the Southern Site of the Cherenkov Telescope Array Observatory

切伦科夫望远镜阵列天文台南部站点拉曼激光雷达的研制

Patrick Brun, Omar Gabella, Stephane Rivoire, George Vasileiadis

专题命中 激光雷达 ：LiDAR(title,abstract)

AI总结 本文围绕切伦科夫望远镜阵列天文台南部站点需求，研制LUPM拉曼激光雷达系统，通过在OHP天文台两年观测，获取355和532纳米处消光、后向散射及激光雷达比等数据，验证原型符合CTAO要求。

Data-Free Knowledge Distillation for LiDAR-Aided Beam Tracking in MmWave Systems

毫米波系统中基于激光雷达辅助波束跟踪的无数据知识蒸馏

Abolfazl Zakeri, Nhan Thanh Nguyen, Ahmed Alkhateeb, Markku Juntti

专题命中 激光雷达 ：LiDAR(title,abstract)

AI总结 提出无数据知识蒸馏框架，利用激光雷达历史测量序列预测最优波束，通过元数据损失合成训练数据，避免依赖原始激光雷达样本。

Comments Accepted to IEEE TVT correspondence 2026

Twin-beam advantage in quantum LiDAR under correlated noise

相关噪声下量子激光雷达的双光束优势

Valeria Cimini

专题命中 激光雷达 ：LiDAR(title,abstract)

AI总结 研究在相关噪声环境下，使用双光束纠缠态和零差探测实现目标距离与速度联合估计，发现纠缠在相关干扰下提供超越局部压缩的鲁棒性优势。

Event-based Scheimpflug LiDAR for Ultra-Fast Laser-Scanned Rangefinding

基于事件的Scheimpflug激光雷达用于超快激光扫描测距

Nathan Meraz, Alisha Whitehead, Suet Ying Chan, Ronan Taneja, Gabriella Mayrend, Joseph L. Greene

专题命中 激光雷达 ：LiDAR(title,abstract)

AI总结 提出eSCHORTY系统，将事件传感器与调制连续波线激光结合，通过Scheimpflug几何实现每秒百万兆事件级密集3D点云，解决帧率限制和背景干扰问题。

Comments 19 pages, 8 figures

Iterative algorithms for a non-linear inverse problem in atmospheric lidar

迭代算法用于大气激光雷达中的非线性反问题

Giulia Denevi, Sara Garbarino, Alberto Sorrentino

专题命中 激光雷达 ：LiDAR(title,abstract)

AI总结 本文提出两种迭代算法解决大气激光雷达中的非线性反问题，通过考虑噪声分布改进了气溶胶消光系数的重建质量。

Comments 19 pages, 6 figures

Journal ref Inverse Problems 2017, 33(8), p.085010