A Probabilistic Multi-Model Framework for Efficient Search and Rescue of Lost Autonomous Underwater Vehicles

This research explores methods for locating a lost submersible in the ocean by developing several probabilistic and search models. The problem is based on the premise that a submersible sends signals every 5 minutes, and failure to receive signals for three consecutive intervals is an indication of a critical failure, such as loss of power.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icbase63199.2024.10762164
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
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article

A Probabilistic Multi-Model Framework for Efficient Search and Rescue of Lost Autonomous Underwater Vehicles

Zhan Kang, Shengli Zhang, Ying Cao, S. S. Fang
Underwater Vehicles and Communication Systems
article

A Probabilistic Multi-Model Framework for Efficient Search and Rescue of Lost Autonomous Underwater Vehicles

Zhan Kang, Shengli Zhang, Ying Cao, S. S. Fang
article en

Abstract

This research explores methods for locating a lost submersible in the ocean by developing several probabilistic and search models. The problem is based on the premise that a submersible sends signals every 5 minutes, and failure to receive signals for three consecutive intervals is an indication of a critical failure, such as loss of power.

Xiamen University Malaysia (MY)
Life below water
Openalex Percentile: Top 72%
Underwater Vehicles and Communication Systems
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