Trending Machine Learning Methods for Vehicle, Pedestrian, and Traffic for Detection and Tracking Task in the Post-Covid Era: A Literature Review

Porto, JoãoSzemes, Péter TamásPistori, HemersonMenyhárt, József2025-05-052025-05-052025IEEE Access. -13 (2025), p. 77790-77803. -IEEE Access. - 2169-3536. - 2169-35362169-3536https://hdl.handle.net/2437/389556Trending Machine Learning Methods for Vehicle, Pedestrian, and Traffic for Detection and Tracking Task in the Post-Covid Era: A Literature Reviewfolyóiratcikkopen access articlehttps://ebib.lib.unideb.hu/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM129718Műszaki tudományokGépészeti tudományokhttps://ieeexplore.ieee.org/document/10980333/szerzőhttp://dx.doi.org/10.1109/ACCESS.2025.35659012025-05-05