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Research on UAV swarm target search algorithm based on prior information

Published: 15 March 2023 Publication History

Abstract

Aiming at the problem of limited sensing range and small search range of single UAV camera, this paper proposes a UAV cluster target search algorithm based on prior information. The algorithm firstly build tasks area target probability graph model, and according to the task of target location prior information to initialize parameters, set the objective function to maximize the task of search revenue environment, then USES the distributed model and to solve the objective function, optimal decision task, realize the coordinated search of UAV cluster. The simulation results show that the algorithm has fast search speed and can avoid obstacles, which has certain military application value.

References

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Revill M B. UAV swarm behavior modeling for early exposure of failure modes. 2016.
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Xu X, Li J, Yang C, Optimization of UAV Flight Control Algorithm and Flight Simulation in Two-dimension[J]. IOP Conference Series Materials Science and Engineering, 2020, 887:012046.
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Zhao X, Dong Y, XIUJIUYUAN, IMPROVEMENT OF UNMANNED AERIAL VEHICLE CLUSTER ATMOSPHERIC MONITORING ALGORITHMS[J]. Journal of Environmental Protection and Ecology, 2019, 20(3):1068-1075.
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EITCE '22: Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering
October 2022
1999 pages
ISBN:9781450397148
DOI:10.1145/3573428
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 March 2023

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Author Tags

  1. Collaborative search
  2. Priori information
  3. UAV

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  • Research
  • Refereed limited

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EITCE 2022

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Overall Acceptance Rate 508 of 972 submissions, 52%

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