Probabilistic Particle Filter Anchoring (PPFA): A Novel Perspective in Semantic World Modeling for Autonomous Underwater Vehicles With Acoustic and Optical Exteroceptive Sensors

Creating an accurate world model of the scenario where an autonomous underwater vehicle is navigating can be considered a crucial stage for understanding the surrounding environment. As a result, the targets detected by an automatic target recognition (ATR) architecture alongside their localized pos...

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Bibliographic Details

Published in:	IEEE journal of oceanic engineering Vol. 50; no. 2; pp. 1065 - 1086
Main Authors:	Topini, Alberto, Ridolfi, Alessandro
Format:	Journal Article
Language:	English
Published:	IEEE 01.04.2025
Subjects:	Automatic target recognition (ATR) Autonomous underwater vehicles autonomous underwater vehicles (AUVs) Cameras Inspection marine robotics Marine robots Optical imaging Optical sensors Probabilistic logic semantic underwater world modeling (WM) Semantics Sensors Target recognition Three-dimensional displays
ISSN:	0364-9059, 1558-1691
Online Access:	Get full text
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