[RA-L 24] SGLC: Semantic Graph-Guided Coarse-Fine-Refine Full Loop Closing for LiDAR SLAM
-
Updated
Mar 3, 2025 - C++
[RA-L 24] SGLC: Semantic Graph-Guided Coarse-Fine-Refine Full Loop Closing for LiDAR SLAM
A lightweight setero visual SLAM system implementation, including complete closed-loop detection, front-end tracking, back-end optimization, visualization and other parts.
A simple Loopclosure detection for A-LOAM
Finding loop closures for a closed track for Formula Student events like FSG, FSA, FS East and many more using data-points provided by GPS.
Implementation of visual-inertial SLAM using RealSense D455 and RTAB-Map in ROS. Compares ORB and SIFT for feature detection in real-time 3D mapping with loop closure and pose graph optimization on a mobile robot.
Add a description, image, and links to the loopclosure topic page so that developers can more easily learn about it.
To associate your repository with the loopclosure topic, visit your repo's landing page and select "manage topics."