Water hazard detection: A 20-year review

Xiaodong Guo; Jizhou Han; Jingyu Li; Zhoubo Wang; Zhenhai Zhang; Xiao Kang; Wei Zhu; Hongbin Deng

doi:10.1016/j.jterra.2022.11.002

Water hazard detection: A 20-year review

Xiaodong Guo, Jizhou Han, Jingyu Li, Zhoubo Wang, Zhenhai Zhang^*, Xiao Kang, Wei Zhu, Hongbin Deng

^*Corresponding author for this work

School of Mechatronical Engineering

Research output: Contribution to journal › Review article › peer-review

1 Citation (Scopus)

Abstract

Obstacle detection is a complex task involving detection of obstacle features, identification of appropriate sensor and environmental conditions. The development of water hazard detection in the past two decades can be regarded as a microcosm of the history of typical obstacle detection. This review provides an extensive study of water hazard detection papers spanning a quarter-century (the 1990 s to 2021). The review mainly focuses on the width of water hazards, features of water hazards, sensor types for the detection of water hazards, and environmental light. This paper analyses and summarizes the research overview and status of some research institutions in the field over the past 20 years, hoping to provide some reference for UGV water hazard detection. In addition, the existing water hazard detection problems are summarized, and future development trends are proposed.

Original language	English
Pages (from-to)	53-66
Number of pages	14
Journal	Journal of Terramechanics
Volume	105
DOIs	https://doi.org/10.1016/j.jterra.2022.11.002
Publication status	Published - Feb 2023

Keywords

Classification
Multisensor fusion
Obstacle detection
UGV
Water hazards

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10.1016/j.jterra.2022.11.002

Cite this

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abstract = "Obstacle detection is a complex task involving detection of obstacle features, identification of appropriate sensor and environmental conditions. The development of water hazard detection in the past two decades can be regarded as a microcosm of the history of typical obstacle detection. This review provides an extensive study of water hazard detection papers spanning a quarter-century (the 1990 s to 2021). The review mainly focuses on the width of water hazards, features of water hazards, sensor types for the detection of water hazards, and environmental light. This paper analyses and summarizes the research overview and status of some research institutions in the field over the past 20 years, hoping to provide some reference for UGV water hazard detection. In addition, the existing water hazard detection problems are summarized, and future development trends are proposed.",

keywords = "Classification, Multisensor fusion, Obstacle detection, UGV, Water hazards",

author = "Xiaodong Guo and Jizhou Han and Jingyu Li and Zhoubo Wang and Zhenhai Zhang and Xiao Kang and Wei Zhu and Hongbin Deng",

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doi = "10.1016/j.jterra.2022.11.002",

language = "English",

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T2 - A 20-year review

AU - Guo, Xiaodong

AU - Han, Jizhou

AU - Li, Jingyu

AU - Wang, Zhoubo

AU - Zhang, Zhenhai

AU - Kang, Xiao

AU - Zhu, Wei

AU - Deng, Hongbin

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AB - Obstacle detection is a complex task involving detection of obstacle features, identification of appropriate sensor and environmental conditions. The development of water hazard detection in the past two decades can be regarded as a microcosm of the history of typical obstacle detection. This review provides an extensive study of water hazard detection papers spanning a quarter-century (the 1990 s to 2021). The review mainly focuses on the width of water hazards, features of water hazards, sensor types for the detection of water hazards, and environmental light. This paper analyses and summarizes the research overview and status of some research institutions in the field over the past 20 years, hoping to provide some reference for UGV water hazard detection. In addition, the existing water hazard detection problems are summarized, and future development trends are proposed.

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KW - Multisensor fusion

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KW - Water hazards

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VL - 105

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EP - 66

JO - Journal of Terramechanics

JF - Journal of Terramechanics

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Water hazard detection: A 20-year review

Abstract

Keywords

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