Toward automated power line corridor monitoring using advanced aircraft control and multisource feature fusion

Li, Zhengrong, Bruggemann, Troy S., Ford, Jason J., Mejias, Luis, & Liu, Yuee (2012) Toward automated power line corridor monitoring using advanced aircraft control and multisource feature fusion. Journal of Field Robotics, 29(1), pp. 4-24.

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The conventional manual power line corridor inspection processes that are used by most energy utilities are labor-intensive, time consuming and expensive. Remote sensing technologies represent an attractive and cost-effective alternative approach to these monitoring activities. This paper presents a comprehensive investigation into automated remote sensing based power line corridor monitoring, focusing on recent innovations in the area of increased automation of fixed-wing platforms for aerial data collection, and automated data processing for object recognition using a feature fusion process. Airborne automation is achieved by using a novel approach that provides improved lateral control for tracking corridors and automatic real-time dynamic turning for flying between corridor segments, we call this approach PTAGS. Improved object recognition is achieved by fusing information from multi-sensor (LiDAR and imagery) data and multiple visual feature descriptors (color and texture). The results from our experiments and field survey illustrate the effectiveness of the proposed aircraft control and feature fusion approaches.

Impact and interest:

15 citations in Scopus
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12 citations in Web of Science®

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496 since deposited on 03 Nov 2011
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ID Code: 46849
Item Type: Journal Article
Refereed: Yes
Keywords: Power Line Corridor Monitoring, Automatic Aircraft Control, Multi-source Data Fusion, LiDAR, Multi-spectral Imagery, Kernel PCA, Image Classification
DOI: 10.1002/rob.20424
ISSN: 1556-4967
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > GEOMATIC ENGINEERING (090900) > Photogrammetry and Remote Sensing (090905)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2011 John Wiley & Sons, Inc.
Copyright Statement: The definitive version will be available at
Deposited On: 03 Nov 2011 23:05
Last Modified: 29 May 2012 13:36

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