Development of a UAV path planning approach for multi-building inspection with minimal cost

Kong, X; Lin, S; Liu, A; Wang, J; Fang, G; Han, Y

Development of a UAV path planning approach for multi-building inspection with minimal cost

Kong, X

Lin, S Liu, A Wang, J Fang, G Han, Y

Permalink

Publication Type:: Conference Proceeding
Citation:: 2020
Issue Date:: 2020-12-28

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Published versionAdobe PDF (328.91 kB)

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Kong, X https://orcid.org/0000-0001-7855-858X
dc.contributor.author	Lin, S
dc.contributor.author	Liu, A
dc.contributor.author	Wang, J
dc.contributor.author	Fang, G
dc.contributor.author	Han, Y
dc.date	2020-12-28
dc.date.accessioned	2021-01-06T02:18:58Z
dc.date.available	2021-01-06T02:18:58Z
dc.date.issued	2020-12-28
dc.identifier.citation	2020
dc.identifier.uri	http://hdl.handle.net/10453/145107
dc.description.abstract	This paper presents a UAV path planning approach for multi-building inspection, which is a new application for UAV path planning. It generates helix paths for single building inspection first and defines the possible points for collecting inspection data with reasonable time slots. After inspecting one building, the UAV flies to another building with a trajectory based on a cost matrix and a visited vector defined in this algorithm. The planning of the entire inspection path is evaluated considering several factors, such as distance, time, and altitude. The proposed algorithm is applied to historical giant communal homes, Fujian Tulou, consisting of five buildings.
dc.language	en
dc.relation.ispartof	The 21st International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT’20)
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Development of a UAV path planning approach for multi-building inspection with minimal cost
dc.type	Conference Proceeding
utslib.location.activity	Shenzhen, China
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2021-01-06T02:18:55Z
pubs.finish-date	2020-12-30
pubs.publication-status	Published
pubs.start-date	2020-12-28

Abstract:

This paper presents a UAV path planning approach for multi-building inspection, which is a new application for UAV path planning. It generates helix paths for single building inspection first and defines the possible points for collecting inspection data with reasonable time slots. After inspecting one building, the UAV flies to another building with a trajectory based on a cost matrix and a visited vector defined in this algorithm. The planning of the entire inspection path is evaluated considering several factors, such as distance, time, and altitude. The proposed algorithm is applied to historical giant communal homes, Fujian Tulou, consisting of five buildings.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/145107