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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Vydáno v:	IEEE journal of oceanic engineering Ročník 50; číslo 2; s. 1065 - 1086
Hlavní autoři:	Topini, Alberto, Ridolfi, Alessandro
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 01.04.2025
Témata:	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
On-line přístup:	Získat plný text
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