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 …

Humans gradually learn a sequence of cross-domain tasks and seldom experience
catastrophic forgetting. In contrast, deep neural networks achieve good performance only in …

This paper presents a cross-domain and cross-view framework for underwater robot
localisation, which does not require any Global Positioning System (GPS) information. The …

Underwater robot 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 …

Abstract Recently, Deep Convolutional Neural Networks have been successfully applied to
various robotics problems, such as robot vision and simultaneous localization and mapping …