Robot Map the World
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Updated
Jul 19, 2021 - CMake
Robot Map the World
Loop closure Detection Toolbox with C++ and Python interface (DBoW3 and VLAD supported)
Graph based SLAM for multiple cameras using SuperPoint feature detector
Multi-Session / Multi-Robot trajectory merging for CAIR milestone Review
Siamese Convolutional Neural Network Topology for Loop Closure Detection in Mobile Robotics
Registration-aided 3D Point Cloud Learning for Large-Scale Place Recognition (IROS 2021)
LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis (ICCV 2019)
Benchmarking and evaluation framework for place recognition methods, featuring SuperPoint+SuperGlue, LoGG3D-Net, Scan Context, DBoW2, MixVPR, STD
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method, and with ScanContext as a loop candidate detection method
🏞️ [IEEE ICRA2023] The official repository for paper "Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments" To appear in 2023 IEEE International Conference on Robotics and Automation (ICRA)
a visual SLAM system performed on RGB-D images
Merge superpoint、lightglue、MixVPR into VINS-FUSION for loop closure with TensorRT
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on ScanContext, Quatro, and Nano-GICP
a VINS algorithm with a combination of stereo fisheye images, cubemap, line features, dense mapping and loop closure
A curated list of Visual Place Recognition (VPR)/ loop closure detection (LCD) datasets
Laser SLAM; Semantic-assisted point cloud matching; LiDAR/IMU fusion pose estimation; Loop closure detection; SubMap
Ground Truth of KITTI dataset (odometry benchmark) for loop closure detection or visual place recognition
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method
LIO-SAM-6AXIS with intensity image loop optimization
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