Target tracking is a process that provides information about targets in a specific area and is
one of the key issues affecting the safety of any vehicle navigating in water. The main sensor …

Video image processing and object classification using a Deep Learning Neural Network
(DLNN) can significantly increase the autonomy of underwater vehicles. This paper …

A new trend in recent years for hydrographic measurement in water bodies is the use of
unmanned surface vehicles (USVs). In the process of navigation by USVs, it is particularly …

Ship detection and tracking is a basic task in any vessel traffic monitored area, whether
marine or inland. It has a major impact on navigational safety and thus different systems and …

Recent advancements in environmental perception for autonomous vehicles have been
driven by deep learning-based approaches. However, effective traffic target detection in …

Autonomous Driving (AD) introduces dramatic changes to the way we travel. This emerging
technology has the potential to impact the transportation sector across a wide array of …

For unmanned surface vehicles (USVs), perception and control are commonly performed in
embedded devices with limited computing power. Sea surface object detection can provide …

This article investigates the capabilities of 24 GHz frequency-modulated continuous-wave
(FMCW) multiple-input–multiple-output (MIMO) radar technology to retrieve sea surface …

Radar detection and tracking of targets in the marine environment are common tasks
performed to ensure the safe navigation of ships or monitor traffic in harbor areas. More …

Vehicular collision and hazard warning is an active field of research that seeks to improve
road safety by providing an earlier warning to drivers to help them avoid potential collision …