SuperSLAM: Open Source Framework for Deep Learning based Visual SLAM (Work in Progress)
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Updated
Apr 24, 2024 - C++
SuperSLAM: Open Source Framework for Deep Learning based Visual SLAM (Work in Progress)
An autonomous vehicle written in python
A ROS implementation of ORB_SLAM2
Multi-device optimization of asynchronous ORB-SLAM2 algorithm with CUDA exploitation.
Add support OpenLoris Datasets with mono + odom
HP3 Term Project on GPU optimization of ORB-SLAM2 algorithm
Run ORBSLAM2 and provide AR to users using HoloLens2 (Unity), Ubuntu (ROS) and Tello
Modified version from raulmur/ORB_SLAM2 (commit f2e6f51 on Oct 11, 2017)
역할 : 성능 향상을 위한 알고리즘 개선, 목적 : 요구사항에 맞는 vslam을 찾고 따른 최적화 및 평가
This repository contains the class workshops for the class. Each workshop has a folder as well as the final project. This repo contains mobile robots geometric models development, its digital model and construction in ROS and Gazebo, machine vision algorithms, trajectory control and a vision-based user following robot.
orb-slam2 with semantic label
A Docker image equipped with ORB-SLAM 2 and ready for dev. No more GPU, dependencies and build problems !
Android Augmented Reality App based on ORB-SLAM2 and OpenGL
🍀 Develop a SLAM algorithm based on ORB_SLAM2 along with TX2、ZED2、ROS and a mobile platform
🚘📡🕹 A modification of ORB_SLAM2 with map reloading and grid-map generating.
SLAM AR based on ORB_SLAM2 for Android platform (Licenced under GPL v3). Check video demo here https://www.bilibili.com/video/av56266271
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