Open-source benchmark datasets have been a critical component for advancing machine
learning for robot perception in terrestrial applications. Benchmark datasets enable the …

Multibeam forward-looking sonar (MFLS) plays an important role in underwater detection.
There are several challenges to the research on underwater object detection with MFLS …

Abstract Purpose of Review The purpose of this review is to survey recent work in the area of
perception for underwater robots. We consider problems such as object-level identification …

This paper presents the construction and prototyping of the Hybrid Unmanned Aerial
Underwater Vehicle (HUAUV) capable to develop stabilized flights and presents the initial …

Aiming at the problem of detecting and locating the leakage position of urban pipelines, an
underwater navigation and positioning method combining the jet link inertial navigation …

Place recognition using SOund Navigation and Ranging (SONAR) images is an important
task for simultaneous localization and mapping (SLAM) in underwater environments. This …

受成像载体, 成像光谱和成像条件等的影响, 跨域图像在不同领域的应用日益增多,
跨域图像检索已成为了许多领域研究的热点和前言. 然而图像的跨域检索面临着图像视觉偏差的 …

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 …

Abstract Hybrid Unmanned Aerial Underwater Vehicle (HUAUV) is a class of multi-modal
mobile robots characterized by the ability to fly and navigate underwater, as well as being …

This paper presents the investigation of the ground effect on hybrid aerial-aquatic vehicles.
The ground effect is the formation of an air bag, caused by the thrusters during the landing …