Naslov
Editorial: Navigation and Perception for Autonomous Surface Vessels

Autori
Ferreira, Fausto ; Quattrini Li, Alberto ; Rødseth, Ørnulf J.

Izvornik
Frontiers in Robotics and AI (2296-9144) 9 (2022); 1-2

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, uvodnik, znanstveni

Ključne riječi
utonomous surface vehicle (ASV), autonomous ship, navigation and control, perception, reinforcement learning, machine learning, collision avoidance (CA)

Sažetak
While autonomous navigation for ground robots has been studied for a several decades, a large gap is still present for autonomous vehicles in the marine domain. Challenges include unpredictable dynamics, mostly unstructured environments, and comparatively high cost in terms of logistics and vehicles to conduct experiments. Solving such challenges require new methods that improve the navigation and perception abilities of autonomous surface vessels. Thus, this special research topic in the journal “Frontiers in Robotics and AI” aims at covering new advances around these issues. Four articles were selected for publication and the result is this edition of the journal. In the following we will give a brief overview of the four papers.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA