The aim of the research group is determining the precrash vehicle velocity. To this end we employ the tensor products of Legendre polynomials as well as B-splines. The newest trend in our research focuses on the application of artificial neural network.

Team Members: Jacek Gralewski (Faculty of Management and Production Engineering, Lodz University of Technology), Paulina Mierzejewska (Faculty of Mechanical Engineering, Lodz University of Technology), Adam Mrowicki (Faculty of Mechanical Engineering, Lodz University of Technology), Mateusz Krukowski, Przemysław Kubiak (Faculty of Mechanical Engineering, Lodz University of Technology), Krzysztof Siczek (Faculty of Mechanical Engineering, Lodz University of Technology), Filip Turoboś

Recent Publications:
Mateusz Krukowski, Przemysław Kubiak, Adam Mrowicki, Filip Turoboś, Determining vehicle pre-crash speed in frontal barrier crashes using artificial neural network for Intermediate car class, Forensic Science International (100 pkt.), (2020), https://doi.org/10.1016/j.forsciint.2020.110179
Mateusz Krukowski, Przemysław Kubiak, Paulina Mierzejewska, Nonlinear methods of vehicle velocity determination based on inverse systems and tensor products of Legendre polynomials, Forensic Science International (100 pkt.), 295 (2019), 19-29, JCR
Jacek Gralewski, Mateusz Krukowski, Przemysław Kubiak, Adam Mrowicki, Krzysztof Siczek, Non-linear method of determining vehicle pre-crash speed based on tensor B-spline products with probabilistic weights — Intermediate car class, Forensic Science International (40 pkt.), 293 (2018), 7-16, JCR

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