Open3D: A Modern Library for 3D Data Processing
-
Updated
Jul 12, 2023 - C++
Open3D: A Modern Library for 3D Data Processing
loam code noted in Chinese(loam中文注解版)
X Inertial-aided Visual Odometry
LiDAR SLAM: Scan Context + LeGO-LOAM
Robotics with GPU computing
Convert KITTI dataset to ROS bag file the easy way!
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
Full-python LiDAR SLAM using ICP and Scan Context
Poisson Surface Reconstruction for LiDAR Odometry and Mapping
Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.
Kalman filter library
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
An Illumination-Robust Point-Line Visual Odometry (IROS 2023)
A bunch of state estimation algorithms
This is the offical codes for the methods described in the "Feature-metric Loss for Self-supervised Learning of Depth and Egomotion".
T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time
Add a description, image, and links to the odometry topic page so that developers can more easily learn about it.
To associate your repository with the odometry topic, visit your repo's landing page and select "manage topics."