Development of an intelligent UAV path planning approach to minimize the costs in flight distance, time, altitude, and obstacle collision

Lin, S; Kong, X; Liu, L

Development of an intelligent UAV path planning approach to minimize the costs in flight distance, time, altitude, and obstacle collision

Lin, S Kong, X

Liu, L

Permalink

Publication Type:: Conference Proceeding
Citation:: Proceedings - 2019 19th International Symposium on Communications and Information Technologies, ISCIT 2019, 2019, pp. 238 - 243
Issue Date:: 2019-09-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

The embargo period expires on 27 Sep 2021

Adobe PDF

Download Accepted Manuscript versionAdobe PDF (2.42 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Lin, S	en_US
dc.contributor.author	Kong, X https://orcid.org/0000-0001-7855-858X	en_US
dc.contributor.author	Liu, L	en_US
dc.date.issued	2019-09-01	en_US
dc.identifier.citation	Proceedings - 2019 19th International Symposium on Communications and Information Technologies, ISCIT 2019, 2019, pp. 238 - 243	en_US
dc.identifier.isbn	9781728150093	en_US
dc.identifier.uri	http://hdl.handle.net/10453/136216
dc.description.abstract	© 2019 IEEE. This paper presents a UAV path planning approach to consider flight cost functions. The UAV flight paths are generated using quintic Hermite interpolation. These paths are constant in speed, and the algorithm generates the paths by iteration to ensure the path segments are smooth. We designed a Waypoint-Matrix to store the points of the path. The paths are aimed to reach the defined destination by passing the waypoints and avoiding obstacles. In this approach, we developed flight cost functions to evaluate the paths, and path length, flight time, altitude, and collision. This approach is validated by simulation results.	en_US
dc.relation.ispartof	Proceedings - 2019 19th International Symposium on Communications and Information Technologies, ISCIT 2019	en_US
dc.relation.isbasedon	10.1109/ISCIT.2019.8905119	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Development of an intelligent UAV path planning approach to minimize the costs in flight distance, time, altitude, and obstacle collision	en_US
dc.type	Conference Proceeding
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
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/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2021-09-27T00:00:00+1000
pubs.publication-status	Published	en_US

Abstract:

© 2019 IEEE. This paper presents a UAV path planning approach to consider flight cost functions. The UAV flight paths are generated using quintic Hermite interpolation. These paths are constant in speed, and the algorithm generates the paths by iteration to ensure the path segments are smooth. We designed a Waypoint-Matrix to store the points of the path. The paths are aimed to reach the defined destination by passing the waypoints and avoiding obstacles. In this approach, we developed flight cost functions to evaluate the paths, and path length, flight time, altitude, and collision. This approach is validated by simulation results.

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

http://hdl.handle.net/10453/136216