There are 8 repositories under orb-slam2 topic.
A ROS implementation of ORB_SLAM2
orb-slam2 with semantic label
This is a Android Augmented Reality APP based on ORB-SLAM2 and OpenGL,which can work well on both outdoor and indoor environments
Monocular/Stereo Visual-Inertial ORB-SLAM based on ORB-SLAM2
SLAM AR based on ORB_SLAM2 for Android platform (Licenced under GPL v3). Check video demo here https://www.bilibili.com/video/av56266271
SuperSLAM: Open Source Framework for Deep Learning based Visual SLAM (Work in Progress)
SALSA: Semantic Assisted Life-Long SLAM for Indoor Environments (16-833 SLAM Project at CMU)
This is a semantic SLAM system that is robust in dyanmic environments.
:four_leaf_clover: Develop a SLAM algorithm based on ORB_SLAM2 along with TX2、ZED2、ROS and a mobile platform
20년도 후반기 Toy Project 'Depth estimation with ORB-SLAM2'에 대한 소스코드입니다.
Add support OpenLoris Datasets with mono + odom
Real-time visual Simultaneous Localization and Mapping using ORB-SLAM2 for a DJI Tello Drone
Run ORBSLAM2 and provide AR to users using HoloLens2 (Unity), Ubuntu (ROS) and Tello
Implementation of Visual Odometry for localization and Octomap for mapping
Make Custom ORB_SLAM2 RGB-D dataset with real sense camera
🚘📡🕹 A modification of ORB_SLAM2 with map reloading and grid-map generating.
An implementation of ORB_SLAM2 in Windows platform with webcam or Intel® RealSense™
Real-Time Cooperative SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
A Docker image equipped with ORB-SLAM 2 and ready for dev. No more GPU, dependencies and build problems !
Modified version from raulmur/ORB_SLAM2 (commit f2e6f51 on Oct 11, 2017)
Merge of ORB-SLAM2 with communication module (UDP video transmit, TCP message receive and half-duplex UART communication with Arduino MEGA) for OmniCar project.
Execute ORB-SLAM2 system and save global point cloud map
역할 : 성능 향상을 위한 알고리즘 개선, 목적 : 요구사항에 맞는 vslam을 찾고 따른 최적화 및 평가
Multi-device optimization of asynchronous ORB-SLAM2 algorithm with CUDA exploitation.
This repository provides a guide on how to successfully process your own RGB sequence and pass images into the state of the art SLAM system (ORBSLAM2).