Monocular LSD-SLAM Integration within AR System

02/08/2017
by   Markus Höll, et al.
0

In this paper, we cover the process of integrating Large-Scale Direct Simultaneous Localization and Mapping (LSD-SLAM) algorithm into our existing AR stereo engine, developed for our modified "Augmented Reality Oculus Rift". With that, we are able to track one of our realworld cameras which are mounted on the rift, within a complete unknown environment. This makes it possible to achieve a constant and full augmentation, synchronizing our 3D movement (x, y, z) in both worlds, the real world and the virtual world. The development for the basic AR setup using the Oculus Rift DK1 and two fisheye cameras is fully documented in our previous paper. After an introduction to image-based registration, we detail the LSD-SLAM algorithm and document our code implementing our integration. The AR stereo engine with Oculus Rift support can be accessed via the GIT repository https://github.com/MaXvanHeLL/ARift.git and the modified LSD-SLAM project used for the integration is available here https://github.com/MaXvanHeLL/LSD-SLAM.git.

READ FULL TEXT

page 5

page 9

page 10

page 13

page 15

page 25

page 34

page 35

research
04/29/2016

Augmented Reality Oculus Rift

This paper covers the whole process of developing an Augmented Reality S...
research
09/11/2023

STAR-loc: Dataset for STereo And Range-based localization

This document contains a detailed description of the STAR-loc dataset. F...
research
10/02/2019

OpenVSLAM: A Versatile Visual SLAM Framework

In this paper, we introduce OpenVSLAM, a visual SLAM framework with high...
research
02/08/2021

OV^2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications

Many applications of Visual SLAM, such as augmented reality, virtual rea...
research
07/13/2022

Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras

This paper demonstrates a visual SLAM system that utilizes point and lin...
research
10/25/2022

S3E: A Large-scale Multimodal Dataset for Collaborative SLAM

With the advanced request to employ a team of robots to perform a task c...
research
01/04/2021

A Hybrid Learner for Simultaneous Localization and Mapping

Simultaneous localization and mapping (SLAM) is used to predict the dyna...

Please sign up or login with your details

Forgot password? Click here to reset