Chinese Science Survey 2022 final version.pdf (3.68 MB)
Review of UAV-based autonomous search algorithms for hazardous sources
journal contributionposted 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.
Goal-Oriented Control Systems (GOCS): Disturbance, Uncertainty and Constraints
Engineering and Physical Sciences Research CouncilFind out more...
- Aeronautical, Automotive, Chemical and Materials Engineering
- Aeronautical and Automotive Engineering
Published inSCIENTIA SINICA Informationis
Pages1579 - 1597
PublisherScience China Press
- AM (Accepted Manuscript)
Rights holder© Science China Press
Publisher statementThis 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
NotesThis paper is written in Chinese.