OBJECT PERCEPTION IN UNDERWATER ENVIRONMENTS: A SURVEY ON SENSORS AND SENSING METHODOLOGIES
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Date
2022
Authors
Huy, Dinhg Quan
Sadjoli, Nicholas
Azam, Abu Bakr
Elhadidi, Basman
Cai, Yiyu
Seet, Gerald
Journal Title
Journal ISSN
Volume Title
Publisher
Ocean Engineering
Abstract
Underwater robots play a critical role in the marine industry. Object perception is the foundation for the automatic
operations of submerged vehicles in dynamic aquatic environments. However, underwater perception
encounters multiple environmental challenges, including rapid light attenuation, light refraction, or backscattering
effect. These problems reduce the sensing devices’ signal-to-noise ratio (SNR), making underwater
perception a complicated research topic. This paper describes the state-of-the-art sensing technologies and
object perception techniques for underwater robots in different environmental conditions. Due to the current
sensing modalities’ various constraints and characteristics, we divide the perception ranges into close-range,
medium-range, and long-range. We survey and describe recent advances for each perception range and suggest
some potential future research directions worthy of investigating in this field.
Description
Keywords
Type of access: Open Access, Underwater robotic, Object perception, Turbid environment
Citation
Huy, D. Q., Sadjoli, N., Azam, A. B., Elhadidi, B., Cai, Y., & Seet, G. (2023). Object perception in underwater environments: a survey on sensors and sensing methodologies. Ocean Engineering, 267, 113202. https://doi.org/10.1016/j.oceaneng.2022.113202