122 skills found · Page 1 of 5
koide3 / Hdl Graph Slam3D LIDAR-based Graph SLAM
koide3 / Interactive SlamInteractive Map Correction for 3D Graph SLAM
MOLAorg / MolaA Modular Optimization framework for Localization and mApping (MOLA)
uoip / G2opyPython binding of SLAM graph optimization framework g2o
leggedrobotics / Open3d SlamPointcloud-based graph SLAM written in C++ using open3D library.
gisbi-kim / SC A LOAMRobust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.
david-m-rosen / SE SyncAn implementation of the SE-Sync algorithm for synchronization over the special Euclidean group.
engcang / FAST LIO SAM QNA SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP
engcang / FAST LIO SAMa SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on LIO-SAM paper
nstathou / Hello SlamA beginner-friendly SLAM mini-course with Jupyter notebooks — covering Bayes Filters, Kalman Filters, Particle Filters, and Graph-based SLAM with hands-on Python examples.
ethz-asl / Laser SlamThis package provides an end-to-end system to laser-based graph SLAM using laser point clouds.
JeffLIrion / Python GraphslamGraph SLAM solver in Python
engcang / FAST LIO SAM SC QNA SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on ScanContext, Quatro, and Nano-GICP
aserbremen / Multi Robot Graph SLAMDecentralized Multi-Robot Graph Simultaneous Localization and Mapping
SunZezhou / Active SLAM With CartographerThis work contains a modified version of cartographer_frontier_detection and rrt_exploration. We implement an active exploration process and improve its robustness and performance. More details are described in the paper "Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration" (IROS2020).
DanielsKraus / SLAM PythonSimultaneous localization and mapping also commonly known in short as SLAM written in python.
nubot-nudt / SGLC[RA-L 24] SGLC: Semantic Graph-Guided Coarse-Fine-Refine Full Loop Closing for LiDAR SLAM
nubot-nudt / SG SLAM[IROS 25] Leveraging Semantic Graphs for Efficient and Robust LiDAR SLAM
bairuofei / Graph Based SLAM Aware Exploration[IEEE RA-L 2024]: Graph-based SLAM-Aware Exploration with Prior Topo-Metric Information.
rising-turtle / Graph SlamGraph SLAM: VO, IMU Preintegration, Plane