Lidar
Related papers: 20
About
Lidar (Light Detection and Ranging) is a remote sensing technology that measures distances by emitting laser pulses and recording the time it takes for reflections to return from surrounding surfaces, producing dense, accurate three-dimensional point clouds of the environment. In robotics and AI, lidar serves as a foundational perception sensor enabling robots and autonomous vehicles to map unknown spaces, localize themselves within those maps, detect and track objects, and navigate safely through complex terrain. It underpins key capabilities such as Simultaneous Localization and Mapping (SLAM), 3D object detection, odometry estimation, and sensor fusion with cameras or inertial measurement units. Deep learning architectures like VoxelNet and SECOND process lidar point clouds directly to identify pedestrians, vehicles, and obstacles in real time. Lidar matters because it provides precise depth measurements that cameras alone cannot reliably deliver, operating robustly across varying lighting conditions. Advances in solid-state and MEMS-based lidar designs are making the technology smaller, cheaper, and more deployable, accelerating its adoption across autonomous driving, agricultural robotics, search-and-rescue, and industrial automation.
Top Researchers
Top Cited Papers
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou, Oncel Tuzel
Citations: 4542 • 2018
VoxNet: A 3D Convolutional Neural Network for real-time object recognition
Daniel Maturana, Sebastian Scherer
Citations: 3579 • 2015
SECOND: Sparsely Embedded Convolutional Detection
Yan Yan, Yuxing Mao, Bo Li
Citations: 3212 • 2018
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Tixiao Shan, Brendan Englot, Drew Meyers, Wei Wang, Carlo Ratti, Daniela Rus
Citations: 1955 • 2020
Argoverse: 3D Tracking and Forecasting With Rich Maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Sławomir Bąk, Andrew T. Hartnett, Wang De, Peter Carr, Simon Lucey, Deva Ramanan, James Hays
Citations: 1420 • 2019
A flexible and scalable SLAM system with full 3D motion estimation
Stefan Kohlbrecher, Oskar von Stryk, Johannes Meyer, Uwe Klingauf
Citations: 1083 • 2011
RTAB‐Map as an open‐source lidar and visual simultaneous localization and mapping library for large‐scale and long‐term online operation
Mathieu Labbé, François Michaud
Citations: 949 • 2018
Aerosol‐type‐dependent lidar ratios observed with Raman lidar
Detlef Müller, Albert Ansmann, Ina Mattis, Matthias Tesche, Ulla Wandinger, Dietrich Althausen, Gianluca Pisani
Citations: 697 • 2007
Tightly Coupled 3D Lidar Inertial Odometry and Mapping
Haoyang Ye, Yuying Chen, Ming Liu
Citations: 568 • 2019
Vertically resolved separation of dust and smoke over Cape Verde using multiwavelength Raman and polarization lidars during Saharan Mineral Dust Experiment 2008
Matthias Tesche, Albert Ansmann, Detlef Müller, Dietrich Althausen, Ronny Engelmann, Volker Freudenthaler, Silke Groß
Citations: 558 • 2009
University of Michigan North Campus long-term vision and lidar dataset
Nicholas Carlevaris‐Bianco, Arash K. Ushani, Ryan M. Eustice
Citations: 548 • 2015
Nanophotonics for light detection and ranging technology
Inki Kim, Renato Martins, Jaehyuck Jang, Trevon Badloe, Samira Khadir, Ho-Youl Jung, Hyeong-Do Kim, Kim Jongun, Patrice Genevet, Junsuk Rho
Citations: 498 • 2021
Confocal non-line-of-sight imaging based on the light-cone transform
Matthew O’Toole, David B. Lindell, Gordon Wetzstein
Citations: 492 • 2018
Self-Supervised Sparse-to-Dense: Self-Supervised Depth Completion from LiDAR and Monocular Camera
Fangchang Ma, Guilherme V. Cavalheiro, Sertaç Karaman
Citations: 471 • 2019
Lidar System Architectures and Circuits
Behnam Behroozpour, Phillip A. M. Sandborn, Ming C. Wu, Bernhard E. Boser
Citations: 466 • 2017
Natural terrain classification using three‐dimensional ladar data for ground robot mobility
Jean‐François Lalonde, Nicolas Vandapel, Daniel F. Huber, Martial Hebert
Citations: 461 • 2006
Model based vehicle detection and tracking for autonomous urban driving
Anna Petrovskaya, Sebastian Thrun
Citations: 437 • 2009
KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done the Right Way
Ignacio Vizzo, Tiziano Guadagnino, Benedikt Mersch, Louis Wiesmann, Jens Behley, Cyrill Stachniss
Citations: 435 • 2023
A large-scale microelectromechanical-systems-based silicon photonics LiDAR
Xiaosheng Zhang, Kyungmok Kwon, Johannes Henriksson, Jianheng Luo, Ming C. Wu
Citations: 410 • 2022
Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark
Zhen Dong, Fuxun Liang, Bisheng Yang, Yusheng Xu, Yufu Zang, Jianping Li, Yuan Wang, Wenxia Dai, Hongchao Fan, Juha Hyyppä, Uwe Stilla
Citations: 410 • 2020