Open3D: A Modern Library for 3D Data Processing
Python package for the evaluation of odometry and SLAM
loam code noted in Chinese（loam中文注解版）
Robotics with GPU computing
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
X Inertial-aided Visual Odometry
🚀 AirVO upgrades to AirSLAM 🚀
Convert KITTI dataset to ROS bag file the easy way!
[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.
Full-python LiDAR SLAM using ICP and Scan Context
Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.
😎 A curated list of awesome mobile robots study resources based on ROS (including SLAM, odometry and navigation, manipulation)
Poisson Surface Reconstruction for LiDAR Odometry and Mapping
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: https://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/papers/217
Kalman filter library
A bunch of state estimation algorithms
Minimal, robust, accurate and real-time LiDAR odometry
This is the offical codes for the methods described in the "Feature-metric Loss for Self-supervised Learning of Depth and Egomotion".
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