odometry
There are 23 repositories under odometry topic.
- Open3DLanguage:C++ 11070
- evo
MichaelGrupp / evo
Python package for the evaluation of odometry and SLAM
Language:Python 3380 RobustFieldAutonomyLab / LeGO-LOAM
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Language:C++ 2347cuitaixiang / LOAM_NOTED
loam code noted in Chinese（loam中文注解版）
Language:C++ 970- cupochLanguage:C++ 893
ucla-vision / xivo
X Inertial-aided Visual Odometry
Language:C++ 849- direct_lidar_odometry
vectr-ucla / direct_lidar_odometry
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
Language:C++ 845 - Language:C++ 737
- Language:Python 714
- Language:C++ 641
[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.
Language:C++ 550gisbi-kim / PyICP-SLAM
Full-python LiDAR SLAM using ICP and Scan Context
Language:Python 503Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.
Language:C++ 432- Language:Python 403
shannon112 / awesome-ros-mobile-robot
😎 A curated list of awesome mobile robots study resources based on ROS (including SLAM, odometry and navigation, manipulation)
- Language:Python 369
MAPIRlab / rf2o_laser_odometry
Estimation of 2D odometry based on planar laser scans. Useful for mobile robots with innacurate base odometry. For full description of the algorithm, please refer to: Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach. ICRA 2016 Available at: http://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/papers/217
Language:C++ 364- TinyGrapeKit
ydsf16 / TinyGrapeKit
A bunch of state estimation algorithms
Language:C++ 283 sconlyshootery / FeatDepth
This is the offical codes for the methods described in the "Feature-metric Loss for Self-supervised Learning of Depth and Egomotion".
Language:Python 247zhoupengwei / tloam
T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time
Language:C++ 235KumarRobotics / sloam
Semantic LIDAR odometry and mapping for cylinderical objects (e.g. trees in forests)
Language:C++ 207- Language:Python 203
engcang / FAST-LIO-SAM-QN
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP
Language:C++ 197Mayankm96 / Stereo-Odometry-SOFT
MATLAB Implementation of Visual Odometry using SOFT algorithm
Language:MATLAB 197url-kaist / outlier-robust-radar-odometry
ORORA: Outlier-robust radar odometry, which is accepted in ICRA'23
Language:C++ 186- Language:C++ 169
utra-robosoccer / soccerbot
Soccer playing robot representing Canada from University of Toronto
Language:C 137ntnu-arl / lidar_degeneracy_datasets
LiDAR degeneracy dataset for LiDAR-radar-inertial fusion methods.
- LemLibLanguage:C++ 112
KevinOchs / hexapod_ros
ROS Hexapod stack with functioning 2D and 3D mapping.
Language:C++ 107dan11003 / CFEAR_Radarodometry_code_public
Efficient and accurate spinning FMCW 2D radar odometry in C++ / ROS.
Language:C++ 95karanchawla / Monocular-Visual-Inertial-Odometry
This contains the code(in development) for monocular visual odometry of a quadrotor. The visual data from the monocular camera is fused with onboard IMU to develop indoor control and navigation algorithms.
Language:Python 94Multi-LiDAR version of FAST-LIO2: A computationally efficient and robust LiDAR-inertial odometry (LIO) package
Language:C++ 84BEAMRobotics / beam_slam
Tightly coupled lidar-visual-inertial slam using the fuse framework
Language:C++ 79KIT-ISAS / SFUISE
SFUISE is a novel continuous-time UWB-inertial state estimation framework based on sliding-window spline fusion.
Language:C++ 79
