Feature-aware Deep Learning for Maritime Intent Recognition

Jan 1, 2025·
Md Abu Sayed
,
Md Azizul Hakim
,
Ayesh Meepaganithage
,
Monica Nicolescu
,
Mircea Nicolescu
· 1 min read
Abstract
Forthcoming paper introducing feature-aware deep learning models for early maritime intent recognition under sparse, noisy vessel tracks. Incorporates bearing-rate, CPA/TCPA, and trajectory derivatives to improve early classification for naval decision support.
Type
Publication
IEEE International Conference on Future Machine Learning and Data Science (FMLDS 2025)

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