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Matheus Machado dos Santos

3 accepted papers

2022

Cross-View and Cross-Domain Underwater Localization Based on Optical Aerial and Acoustic Underwater Images

RA-L 2022

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 colo

Cited by 19SourceScholar
2020

Matching Color Aerial Images and Underwater Sonar Images Using Deep Learning for Underwater Localization

RA-L 2020

Underwater localization is a challenging task due to the lack of a Global Positioning System (GPS). However, the capability to match georeferenced aerial images and acoustic data can help with this task. Autonomous hybrid aerial and underwater vehicles also demand a new localization method capable o

Cited by 41SourceScholar
2018

Reliable fusion of black-box estimates of underwater localization

IROS 2018poster

The research on robot tracking has focused on the problem of information fusion from redundant parametric estimations, though the aspect of choosing an adaptive fusion policy, that is computationally efficient, and is able to reduce the impact of un-modeled noise, are still open issues. The objectiv…

Cited by 4SourceScholar