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Cross-view and Cross-domain Underwater Localization based on Optical Aerial and Acoustic Underwater Images

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arxiv 2202.07817 v1 pith:JAQLZJTS submitted 2022-02-16 cs.CV cs.RO

Cross-view and Cross-domain Underwater Localization based on Optical Aerial and Acoustic Underwater Images

classification cs.CV cs.RO
keywords localizationunderwatercross-viewimagesaerialimageacousticcross-domain
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Cross-view image matches have been widely explored on terrestrial image localization using aerial images from drones or satellites. This study expands the cross-view image match idea and proposes a cross-domain and cross-view localization framework. The method identifies the correlation between color aerial images and underwater acoustic images to improve the localization of underwater vehicles that travel in partially structured environments such as harbors and marinas. The approach is validated on a real dataset acquired by an underwater vehicle in a marina. The results show an improvement in the localization when compared to the dead reckoning of the vehicle.

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