Open3D: A Modern Library for 3D Data Processing
- mesh-processing
- computer-graphics
- opengl
- cpp
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Open3D: A Modern Library for 3D Data Processing
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Python package for the evaluation of odometry and SLAM
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
An open source platform for visual-inertial navigation research.
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Direct Sparse Odometry
A LiDAR odometry pipeline that just works
Semi-direct Visual Odometry
Index repo for Kimera code
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
Robotics with GPU computing
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
AI-IMU Dead-Reckoning
X Inertial-aided Visual Odometry
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
Dense Visual Odometry and SLAM
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
This repository maintains the implementation of "Event-based Stereo Visual Odometry".
A ROS wrapper for libviso2, a library for visual odometry
2026年 东北大学T-DT实验室 RoboMaster超级对抗赛 哨兵定位开源