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pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure stra…
$D^2$SLAM: Decentralized and Distributed Collaborative Visual-inertial SLAM System for Aerial Swarm
[IEEE T-RO 2025] iKalibr: Multi-Sensor Calibration (Extrinsics & Time Offsets)
[ICRA 2025 Best Paper] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
[RA-L 2025 Accept without Revision] A stereo visual-inertial odometry system based on voxel map
An invariant filter to fuse monocular/stereo visual-inertial-raw GNSS.
LiteVLoc: Map-Lite Visual Localization for Image Goal Navigation
Extension and update of M2DGR: a novel Multi-modal and Multi-scenario SLAM Dataset for Ground Robots (ICRA2022 & ICRA2024)
A Multi-sensor SLAM Dataset Focusing on Corner Cases for Ground Robots (ROBIO2023)
Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS
Point-SLAM: Dense Neural Point Cloud-based SLAM
drone perception, ground-to-aerial (GoA) distillation, perception knowledge transfer, UAV, UGV
This is an improved version of ORB-SLAM3 that adds an object detection module implemented with YOLOv5 to achieve SLAM in dynamic environments.
A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
An optimization-based multi-sensor state estimator
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
Save odometry data publish by T265 camera
深蓝学院 多传感器定位融合第四期 学习笔记
The global localization system based on semantic information