Multi-Session / Multi-Robot trajectory merging for CAIR milestone Review
-
Updated
Nov 14, 2017 - C++
Multi-Session / Multi-Robot trajectory merging for CAIR milestone Review
Python implementation of RGBD-PTAM algorithm
Python implementation of SLAM algorithm Stereo-PTAM
SLAM package using NDT registration library of Autoware with loop-closure detection (odometry based) referenced from lego_loam.
Convolutional Autoencoder for Loop Closure
Secondary posegraph adapted for interfacing with OpenVINS, based on VINS-Mono / VINS-Fusion.
SALSA: Semantic Assisted Life-Long SLAM for Indoor Environments (16-833 SLAM Project at CMU)
LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis (ICCV 2019)
Ground Truth of KITTI dataset (odometry benchmark) for loop closure detection or visual place recognition
A curated list of Visual Place Recognition (VPR)/ loop closure detection (LCD) datasets
a visual SLAM system performed on RGB-D images
Robot Map the World
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)
Laser SLAM; Semantic-assisted point cloud matching; LiDAR/IMU fusion pose estimation; Loop closure detection; SubMap
LIO-SAM-6AXIS with intensity image loop optimization
Graph-based image sequences matching for the visual place recognition in changing environments.
using hloc for loop closure in OpenVINS
Fisheye version of VINS-Fusion
Add a description, image, and links to the loop-closure topic page so that developers can more easily learn about it.
To associate your repository with the loop-closure topic, visit your repo's landing page and select "manage topics."