eprintid: 2512
rev_number: 8
eprint_status: archive
userid: 285
dir: disk0/00/00/25/12
datestamp: 2017-06-14 09:49:05
lastmod: 2017-06-14 09:49:05
status_changed: 2017-06-14 09:49:05
type: article
metadata_visibility: show
creators_name: Phung, Manh Duong
creators_name: Quach, Cong Hoang
creators_name: Dinh, Tran Hiep
creators_name: Quang, Ha
creators_id: duongpm@vnu.edu.vn
creators_id: tranhiep.dinh@vnu.edu.vn
creators_id: quang.ha@uts.edu.au
title: Enhanced discrete particle swarm optimization path planning for UAV vision-based surface inspection
ispublished: pub
subjects: ECE
subjects: ElectronicsandComputerEngineering
subjects: isi
divisions: fac_fet
abstract: In built infrastructure monitoring, an efficient path planning algorithm is essential for robotic inspection of large surfaces using computer vision. In this work, we first formulate the inspection path planning problem as an extended travelling salesman problem (TSP) in which both the coverage and obstacle avoidance were taken into account. An enhanced discrete particle swarm optimization (DPSO) algorithm is then proposed to solve the TSP, with performance improvement by using deterministic initialization, random mutation, and edge exchange. Finally, we take advantage of parallel computing to implement the DPSO in a GPU-based framework so that the computation time can be significantly reduced while keeping the hardware requirement unchanged. To show the effectiveness of the proposed algorithm, experimental results are included for datasets obtained from UAV inspection of an office building and a bridge.
date: 2017
date_type: published
publisher: Elsevier
official_url: http://www.sciencedirect.com/science/article/pii/S0926580517303825
id_number: 10.1016/j.autcon.2017.04.013
full_text_status: public
publication: Automation in Construction
volume: 81
pagerange: 25-33
refereed: TRUE
issn: 0926-5805
projects: QG.16.29
citation:   Phung, Manh Duong and Quach, Cong Hoang and Dinh, Tran Hiep and Quang, Ha  (2017) Enhanced discrete particle swarm optimization path planning for UAV vision-based surface inspection.  Automation in Construction, 81 .   pp. 25-33.  ISSN 0926-5805     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2512/1/1-s2.0-S0926580517303825-AUTCON2017.pdf