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
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Updated
Jul 9, 2024 - C++
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.
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
g2o: A General Framework for Graph Optimization
RTAB-Map library and standalone application
An open source platform for visual-inertial navigation research.
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
3D LIDAR-based Graph SLAM
⚡ The Mobile Robot Programming Toolkit (MRPT)
A fast and robust point cloud registration library
A LiDAR odometry pipeline that just works
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
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