Video Data for Robot Localisation within Pipe Networks

Name: Video Data for Robot Localisation within Pipe Networks
Creator: Rui Zhang
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Artificial Intelligence

Citation Author(s):: Rui
Zhang
The University of Sheffield

Rob
Worley
The University of Sheffield

Sarah
Edwards
The University of Sheffield

Jonathan
Aitken
The University of Sheffield

Sean
Anderson
The University of Sheffield

Lyudmila
Mihaylova

The University of Sheffield
Submitted by:: Lyudmila Mihaylova
Last updated:: Thu, 04/27/2023 - 06:48
DOI:: 10.21227/4fz3-cc46
Data Format:: *.mp4; *.csv; *.txt
Research Article Link:: Visual Simultaneous Localisation and Mapping for Sewer Pipe Networks Leveraging Cylindrical Regularity
License:: Creative Commons Attribution

96 Views

Categories:: Artificial Intelligence
Keywords:: Visual Simultaneous Localisation and Mapping, Robot Sensing, Robot Navigation, Visual Odometry, computer vision

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Abstract

This is an image illustrating the work of the proposed visual SLAM algorithm.

Instructions:

This file describes what data are provided

Funding Agency:

EPSRC

Grant Number:

EP/S016813/1

Comments

The data set contains real videos from pipe inspection.

Submitted by Lyudmila Mihaylova on Thu, 04/27/2023 - 06:51

Dataset Files

Supplementary Materials for LRA326-vSLAM.zip (145.66 MB)

Documentation

Attachment	Size
Supplementary Materials for LRA326.txt	469 bytes

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Video Data for Robot Localisation within Pipe Networks

Abstract

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