Please use this identifier to cite or link to this item:
Title: Discrete space-based route planning for rotary-wing UAV formation in urban environments
Authors: Wu, Yu
Low, Kin Huat
Keywords: Engineering::Aeronautical engineering
Issue Date: 2022
Source: Wu, Y. & Low, K. H. (2022). Discrete space-based route planning for rotary-wing UAV formation in urban environments. ISA Transactions, 129(Part A), 243-259.
Project: 2018-T1-002-124 
Journal: ISA Transactions
Abstract: The route planning problem for rotary-wing UAV formation is studied in discrete urban environments. First, a discrete-space consensus algorithm (DSCA) integrating asynchronous planning and grouping mechanism is developed to make the rotary-wing UAVs converge to the desired formation. Then the DSCA is combined with the improved rapidly-exploring random tree (IRRT) algorithm to enable the rotary-wing UAV formation to avoid the obstacles. Finally, the time information of waypoints is complemented by resolving the conflicts among multiple rotary-wing UAVs, thus reducing the rotary-wing UAVs' time gap of reaching the destinations. The proposed method extends the original consensus theory in the discrete space and for the obstacle avoidance issue. Also, it is valid in the route planning problem for rotary-wing UAV formation considering the real urban environments.
ISSN: 0019-0578
DOI: 10.1016/j.isatra.2021.12.043
Rights: © 2022 ISA. Published by Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:ATMRI Journal Articles
MAE Journal Articles

Citations 50

Updated on Mar 21, 2023

Web of ScienceTM
Citations 50

Updated on Mar 24, 2023

Page view(s)

Updated on Mar 26, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.