The University of Southampton
University of Southampton Institutional Repository

A low-cost vision-based unmanned aerial system for extremely low-light GPS-denied navigation and thermal imaging

A low-cost vision-based unmanned aerial system for extremely low-light GPS-denied navigation and thermal imaging
A low-cost vision-based unmanned aerial system for extremely low-light GPS-denied navigation and thermal imaging
This paper presents the design and implementation details of a complete unmanned aerial system (UAS) based on commercial-off-the-shelf (COTS) components, focusing on safety, security, search and rescue scenarios in GPS-denied environments. In particular, The aerial platform is capable of semi-autonomously navigating through extremely low-light, GPS-denied indoor environments based on onboard sensors only, including a downward-facing optical flow camera. Besides, an additional low-cost payload camera system is developed to stream both infra-red video and visible light video to a ground station in real-time, for the purpose of detecting sign of life and hidden humans. The total cost of the complete system is estimated to be $1150, and the effectiveness of the system has been tested and validated in practical scenarios.
1750-1757
Liu, Chang
7c245137-3dbb-41c6-84e6-e40181b25a0d
Nash, John
9ed30d81-10ee-4587-ba6c-d9a31233cbd1
Prior, Stephen
9c753e49-092a-4dc5-b4cd-6d5ff77e9ced
Liu, Chang
7c245137-3dbb-41c6-84e6-e40181b25a0d
Nash, John
9ed30d81-10ee-4587-ba6c-d9a31233cbd1
Prior, Stephen
9c753e49-092a-4dc5-b4cd-6d5ff77e9ced

Liu, Chang, Nash, John and Prior, Stephen (2015) A low-cost vision-based unmanned aerial system for extremely low-light GPS-denied navigation and thermal imaging. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 9 (10), 1750-1757.

Record type: Article

Abstract

This paper presents the design and implementation details of a complete unmanned aerial system (UAS) based on commercial-off-the-shelf (COTS) components, focusing on safety, security, search and rescue scenarios in GPS-denied environments. In particular, The aerial platform is capable of semi-autonomously navigating through extremely low-light, GPS-denied indoor environments based on onboard sensors only, including a downward-facing optical flow camera. Besides, an additional low-cost payload camera system is developed to stream both infra-red video and visible light video to a ground station in real-time, for the purpose of detecting sign of life and hidden humans. The total cost of the complete system is estimated to be $1150, and the effectiveness of the system has been tested and validated in practical scenarios.

Text
A-Low-Cost-Vision-Based-Unmanned-Aerial-System-for-Extremely-Low-Light-GPS-Denied-Navigation-and-Thermal-Imaging.pdf - Accepted Manuscript
Available under License Other.
Download (529kB)

More information

Published date: October 2015
Organisations: Computational Engineering & Design Group

Identifiers

Local EPrints ID: 399629
URI: http://eprints.soton.ac.uk/id/eprint/399629
PURE UUID: bc0ea60b-598a-4e26-8b87-ea527306cfb4
ORCID for Chang Liu: ORCID iD orcid.org/0000-0002-6967-5159
ORCID for Stephen Prior: ORCID iD orcid.org/0000-0002-4993-4942

Catalogue record

Date deposited: 22 Aug 2016 13:03
Last modified: 15 Mar 2024 03:45

Export record

Contributors

Author: Chang Liu ORCID iD
Author: John Nash
Author: Stephen Prior ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×