Algorithms for Collision Probability Assessment and UAV Control for Maritime Safety Tasks

Transport Means 2016 : Proceedings of the 20th International Scientific Conference 2016
Gunta Strupka, Anatolijs Ļevčenkovs, Mihails Gorobecs

As numbers of transport everyday increases, necessity of rising safety level predicting and avoiding collisions follows. This paper presents introduction of algorithm what calculates the probability of collision in maritime and program what makes suggestions of necessary corrections based on information received from databases and systems onshore, transport vehicles involved in possible collision area or even lack of information. Details will be explained and filled with sample data. Described system is in its beginning of evolution but in the same time it is ready to be implemented in already existed systems or used as base of brand new safety and anti collision software.

Keywords
artificial intelligence, probabilistic logic, unmanned aerial vehicles, programming, microcontrollers, automatic control, path planning, maritime safety

Strupka, G., Ļevčenkovs, A., Gorobecs, M. Algorithms for Collision Probability Assessment and UAV Control for Maritime Safety Tasks. In: Transport Means 2016 : Proceedings of the 20th International Scientific Conference, Lithuania, Juodkrante (Klaipēda), 5-7 October, 2016. Kaunas: Kaunas University of Technology, 2016, pp.913-916. ISSN 1822-296X. e-ISSN 2351-7034.

Publication language
English (en)