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Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
A Robust and Versatile Monocular Visual-Inertial State Estimator
The Kalibr visual-inertial calibration toolbox
An optimization-based multi-sensor state estimator
g2o: A General Framework for Graph Optimization
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.
Provides ROS integration for Cartographer.
Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing
动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库
Detailed comments for ORB-SLAM3
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups
VDO-SLAM: A Visual Dynamic Object-aware SLAM System
SSL_SLAM: Lightweight 3-D Localization and Mapping for Solid-State LiDAR IEEE RA-L 2021