Application of Artificial Intelligence in Process Control: Lecture Notes Erasmus Intensive Course
Application of Artificial Intelligence in Process Control: Lecture Notes Erasmus Intensive Course
Dynamic Bayesian networks for situational awareness in the presence of noisy data
Proceedings of the 12th International Conference on Computer Systems and Technologies
Automated safety control by video cameras
Proceedings of the 13th International Conference on Computer Systems and Technologies
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The goal of our research is the design and implementation of a surveillance system based on an Automatic Identification System (AIS). The AIS system enables operators in a control room to monitor ship movements in and along the harbour. There is a need to support human operators. The automated system is modelled after human operator. The transitions between the four steps Observation-Orientation-Decision-Action (OODA-loop) are realised using a rule based expert system and Bayesian networks. The design, implementation and results of experiments are reported in the paper.