DOI
Report of the market survey of maritime electro-optical sensors and AI assistance for nautical crew.
Autoren
Schmid, Helmut
Portier, Martin
Herrmann, Hans
Portier, Martin
Herrmann, Hans
Finanzierung
Bundesministerium für Digitales und Verkehr
Veröffentlichungsjahr
2024
Umfang
12 pages
Herausgeber
Bundesamt für Seeschifffahrt und Hydrographie (BSH)
Keywords
Elektrotechnik, electro-optical sensors, AI, artifical intelligence, nautic, machine learning, maritime night vision systems, hochautomatisierte Schiffe, Algorithmen, German Bight, maritime Datensätze
Beschreibung
This report examines the recent evolution of maritime night vision systems and their potential impact on situation awareness tasks for highly automated vessels. On one hand, it is based on a study that evaluates algorithms for nautical applications and includes a market survey involving 26 products (Koch et al., 2024). On the other hand, it describes the comparison between technical specifications and the performance observed in field trials conducted in the German Bight under real-life conditions.Machine Learning and more affordable sensor technology resulted in product enhancements and additional features of maritime night vision systems.
Art der Ressource
Report