HP3 Term Project on GPU optimization of ORB-SLAM2 algorithm
-
Updated
Apr 13, 2023
HP3 Term Project on GPU optimization of ORB-SLAM2 algorithm
Android Augmented Reality App based on ORB-SLAM2 and OpenGL
A Docker image equipped with ORB-SLAM 2 and ready for dev. No more GPU, dependencies and build problems !
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).
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.
A simple shell script to pulverise a video into PNGs neatly logged in a timestamp imagename txt file. Uses ffprobe and ffmpeg
Multi-device optimization of asynchronous ORB-SLAM2 algorithm with CUDA exploitation.
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
Execute ORB-SLAM2 system and save global point cloud map
Object recognition tool and relative distance detection using ORB_SLAM2 and YOLO V2
Add a description, image, and links to the orb-slam2 topic page so that developers can more easily learn about it.
To associate your repository with the orb-slam2 topic, visit your repo's landing page and select "manage topics."