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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Veröffentlicht in:	IEEE journal of oceanic engineering Jg. 50; H. 2; S. 1065 - 1086
Hauptverfasser:	Topini, Alberto, Ridolfi, Alessandro
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.04.2025
Schlagworte:	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-Zugang:	Volltext
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