Loop closure Detection Toolbox with C++ and Python interface (DBoW3 and VLAD supported)
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Updated
Sep 13, 2023 - C++
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
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
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on ScanContext, Quatro, and Nano-GICP
Merge superpoint、lightglue、MixVPR into VINS-FUSION for loop closure with TensorRT
a VINS algorithm with a combination of stereo fisheye images, cubemap, line features, dense mapping and loop closure
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
Laser SLAM; Semantic-assisted point cloud matching; LiDAR/IMU fusion pose estimation; Loop closure detection; SubMap
SALSA: Semantic Assisted Life-Long SLAM for Indoor Environments (16-833 SLAM Project at CMU)
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP
using hloc for loop closure in OpenVINS
Secondary posegraph adapted for interfacing with OpenVINS, based on VINS-Mono / VINS-Fusion.
[ICRA'23] Official code repo for "Contour Context: Abstract Structural Distribution for 3D LiDAR Loop Detection and Metric Pose Estimation"
graph-theoretic framework for robust pairwise data association
Graph-based image sequences matching for the visual place recognition in changing environments.
Fisheye version of VINS-Fusion
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