Automated aerial inspection guidance with improved turn planning


Autoria(s): Bruggemann, Troy S.; Ford, Jason J.
Data(s)

04/11/2013

Resumo

Aerial inspection of pipelines, powerlines, and other large linear infrastructure networks has emerged in a number of civilian remote sensing applications. Challenges relate to automating inspection flight for under-actuated aircraft with LiDAR/camera sensor constraints whilst subjected to wind disturbances. This paper presents new improved turn planning strategies with guidance suitable for automation of linear infrastructure inspection able to reduce inspection flight distance by including wind information. Simulation and experimental flight tests confirmed the flight distance saving, and the proposed guidance strategies exhibited good tracking performance in a range of wind conditions.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/63872/

Publicador

IEEE

Relação

http://eprints.qut.edu.au/63872/1/TurnInWind.pdf

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6697286&punumber%3D6685214%26sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6697238%29%26pageNumber%3D2

DOI:10.1109/AUCC.2013.6697286

Bruggemann, Troy S. & Ford, Jason J. (2013) Automated aerial inspection guidance with improved turn planning. In 3rd Australian Control Conference (AUCC), IEEE, Perth, Australia, pp. 282-288.

Direitos

Copyright 2013 Engineers Australia

Fonte

Australian Research Centre for Aerospace Automation; School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #090104 Aircraft Performance and Flight Control Systems #090602 Control Systems Robotics and Automation #Path Planning #UAV #aerial inspection #autonomous control #Dubins
Tipo

Conference Paper