Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/147360
Title: Cooperative path planning for heterogeneous unmanned vehicles in a search-and-track mission aiming at an underwater target
Authors: Wu, Yu
Low, Kin Huat
Lv, Chen
Keywords: Engineering::Aeronautical engineering
Issue Date: 2020
Source: Wu, Y., Low, K. H. & Lv, C. (2020). Cooperative path planning for heterogeneous unmanned vehicles in a search-and-track mission aiming at an underwater target. IEEE Transactions On Vehicular Technology, 69(6), 6782-6787. https://dx.doi.org/10.1109/TVT.2020.2991983
Journal: IEEE Transactions on Vehicular Technology 
Abstract: It is an effective way to execute a complicated mission by cooperating unmanned vehicles. This paper focuses on a search- and-track (SAT) mission for an underwater target, and the mission is implemented by combining an unmanned aerial vehicle (UAV), an unmanned surface vehicle (USV) and an autonomous underwater vehicle (AUV). In the cooperative path planning model, the mission is divided into the search phase and the track phase, and the goals of the two phases are to maximize the search space and minimize the terminal error respectively. The constraints contain the maneuverability of vehicles and communication ranges between vehicles. Strategies based on random simulation experiments and asynchronous planning are developed to design the cooperative path planning algorithm in the two phases, and the paths are generated by an improved particle swarm optimization (IPSO) algorithm in a centralized or a distributed mode. Simulation results demonstrate that the proposed method can deal with different situations. The UAV&USV&AUV system is superior to the USV&AUV system in the SAT mission.
URI: https://hdl.handle.net/10356/147360
ISSN: 0018-9545
DOI: 10.1109/TVT.2020.2991983
Rights: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TVT.2020.2991983
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Journal Articles

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