← Search

Silvia S. C. Botelho

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

A Comparative Study on Sigma-Point Kalman Filters for Trajectory Estimation of Hybrid Aerial-Aquatic Vehicles

IROS 2018poster

In this paper, a study on nonlinear state estimation methods for Hybrid Unmanned Aerial Underwater Vehicles (HUAUVs) is presented. Based on a detailed dynamic model simulation, we analyse and elect the best nonlinear algorithm among those presented in the state-of-the-art literature addressing local…

Cited by 26SourceScholar