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Chinese Science Survey 2022 final version.pdf (3.68 MB)

Review of UAV-based autonomous search algorithms for hazardous sources

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journal contribution
posted on 2023-01-25, 13:24 authored by Zhongguo Li, Wen-Hua ChenWen-Hua Chen, Cunjia LiuCunjia Liu
Autonomous search plays an important role in a wide range of applications, such as environmental protection, industrial monitoring, and search and rescue. Sensor platforms based on unmanned aerial vehicles (UAVs) have been regarded as one of the most efficient methods for achieving fully autonomous searching because of their superior flexibility and motility. This paper reviews existing algorithms for two important subjects, i.e., source seeking and boundary tracking, based on which their design principles are revealed. Although control-oriented and information-driven approaches are the two mainstream state-of-the-art methods for source seeking, their hybrids have been poorly studied. Regarding boundary tracking, existing solutions can be allocated into two classes: single-agent tracking and multiagent cooperative tracking. From the perspective of dual control for exploration and exploitation, this review outlines the fundamental insights into algorithm design and presents several visions for future research.

Funding

Goal-Oriented Control Systems (GOCS): Disturbance, Uncertainty and Constraints

Engineering and Physical Sciences Research Council

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History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

SCIENTIA SINICA Informationis

Volume

52

Issue

9

Pages

1579 - 1597

Publisher

Science China Press

Version

  • AM (Accepted Manuscript)

Rights holder

© Science China Press

Publisher statement

This paper was accepted for publication in the journal SCIENTIA SINICA Informationis and the definitive published version is available at https://doi.org/10.1360/SSI-2022-0044. The original publication is available at www.scichina.com

Acceptance date

2022-03-18

Publication date

2022-09-05

Copyright date

2022

Notes

This paper is written in Chinese.

ISSN

1674-7267

eISSN

2095-9486

Language

  • zh

Depositor

Prof Wen-Hua Chen. Deposit date: 24 January 2023

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