ROS2-ORB-SLAM3-Odometry — A ROS 2 wrapper for ORB-SLAM3 that publishes real-time odometry and TF from mono, stereo, RGB-D, and stereo-inertial cameras (e.g., RealSense D435). Uses the pre-built ORB-SLAM3 .so library for fast tracking and integrates seamlessly with RViz 2 and navigation stacks.

ubuntu22.04 + ROS2 humble 环境下的无人机基本运动控制和视觉SLAM方案

This repository is a modified version of ORBSLAM3 by UZ-SLAMLab. This repo contains a converter that creates an occupancy grid from the sparse map points.

python Bindings for OrbSlam3

It is one of the part of my master's thesis, involving computing the Absolute Pose Error (APE) and Relative Pose Error (RPE) of trajectories collected from two environments: PySLAM and ORB-SLAM3

ROS2 wrap package for ORB_SLAM3 library and ORB_SLAM3 odometry publication

Virtual-Inertial SLAM: VI-SLAM performance evaluations in virtual environments using real inertial data

An augmented reality system that allows users to place and manipulate virtual 3D cubes using a single camera and hand gestures.

A repository for performing deletion of Keyframes and Mappoints that are marked as bad(Logical End of life of the Keyframes and Mappoints) using reference counting and compare and swap.

A ROS2 Jazzy package natively implementing ORB-SLAM3 V1.0 VSLAM framework with better structures and updated dependencies.

High-performance FAST Corner Detector on PYNQ with using Hardware Acceleration (80+ FPS).

Improving ORB-SLAM3 with deep deblurring networks

Brightness-adaptive feature scaling for ORB-SLAM3 that dynamically adjusts ORB feature extraction based on scene illumination, improving robustness across varying visual conditions with minimal computational overhead.

YOLOv5+ORB-SLAM3路面动态场景视觉定位系统，通过目标检测剔除行人和车辆等动态物体的特征点，解决高动态交通场景下视觉SLAM定位漂移问题

ORBSLAM is the state of the art camera based slam technique for detection and mapping.

Dockerized implementation of ORBSLAM3

🚀 Implement a high-performance FAST corner detector on the PYNQ platform, leveraging FPGA for efficient feature extraction and real-time data visualization.