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  1. 1. Artificial Intelligence applications for railway signalling

    Master-uppsats, KTH/Transportplanering

    Författare :Benjamin Smakic; [2021]
    Nyckelord :Artificial Intelligence; AI; Machine Learning; ML; Computer Vision; railway signalling; ERTMS level 3; GPS; autonomous train operations; Artificiell Intelligens; Maskininlärning; datorseende; signalteknik; autonoma tåg; självkörande tåg.;

    Sammanfattning : The main purpose of this Master Thesis is to investigate how front-facing, train-mounted cameras and Computer Vision, a type of Artificial Intelligence (AI), can be used to compensate for GPS inaccuracies. By using footage from track-recording cameras, Computer Vision can be utilized to determine the number of tracks and the track occupancy of the train, which would compensate GPS inaccuracies in the lateral positioning. LÄS MER