Lidar Odometry
LiDAR Odometry is a method in robotic perception that estimates the six-degrees-of-freedom motion of a sensor platform by aligning consecutive LiDAR point clouds through spatial registration, distinguishing itself from other odometry techniques by relying exclusively on light detection and ranging data for pose estimation.
325
Publications
28.7K
Citations
968
Authors
280
Institutions
Publications per year
2017–2026
296
Parents
325
LOAM: Lidar Odometry and Mapping in Real-time
Ji Zhang, Sanjiv Singh · 2014 · 3.1K citations
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Tixiao Shan, Brendan Englot, Drew Meyers et al. · 2020 · 2K citations
FAST-LIO2: Fast Direct LiDAR-Inertial Odometry
Wei Xu, Yixi Cai, Dongjiao He et al. · IEEE Transactions on Robotics · 2022 · 1.5K citations
1–5 of 325
968
17
h-index
10
h-index
7
h-index
Korea Advanced Institute of Science and Technology, South Korea
7 publications · 418 citations
7
h-index
6
h-index
1–5 of 968
280

University of Hong Kong
Pok Fu Lam, Hong Kong
17 h-index
68 publications
16.8K citations
Massachusetts Institute of Technology
Cambridge, United States
13 h-index
34 publications
14.5K citations
Wuhan University
Wuhan, China
11 h-index
34 publications
812 citations
Tongji University
Shanghai, China
10 h-index
31 publications
948 citations

Chinese Academy of Sciences
Beijing, China
9 h-index
38 publications
1.2K citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
17 publications
10.5K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
9 h-index
31 publications
5K citations
Nanyang Technological University
Singapore, Singapore
9 h-index
28 publications
1.5K citations
1–8 of 280
33 publications · 3.5K citations
27
h-index
Repository · 22 publications · 666 citations
15
h-index
12 publications · 457 citations
13
h-index
15 publications · 545 citations
13
h-index
IJRR · 6 publications · 1.5K citations
8
h-index
1–5