Real-Time Anomaly Detection in Underwater Gliders: Abstract and Intro

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This paper presents a real-time anomaly detection algorithm to enhance underwater glider safety, using datasets from actual deployments.
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Underwater gliders are widely used in oceanography for a range of applications. However, unpredictable events like shark strikes or remora attachments can lead to abnormal glider behavior or even loss of the instrument. This paper employs an anomaly detection algorithm to assess operational conditions of underwater gliders in the real-world ocean environment. Prompt alerts are provided to glider pilots upon detecting any anomaly.