Abstract
Despite fast progress in the automotive industry, the number of deaths in car accidents is constantly growing. One of the most important challenges in this area, besides crash prevention, is immediate and precise notification of rescue services. Automatic crash detection systems go a long way towards improving these notifications, and new cars currently sold in developed countries often come with such systems factory installed. However, the majority of life threatening accidents occur in low-income countries, where these novel and expensive solutions will not become common anytime soon. This paper presents a method for detecting car collisions, which requires a mobile phone only, and therefore can be used in any type of car. The method was developed and evaluated using data from real crash tests. It integrates data series from various sensors using an optimized decision tree. The evaluation results show that it can successfully detect even minor collisions while keeping the number of false positives at an acceptable level.
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Acknowledgment
This research was partially supported by the Polish National Center for Research and Development under the project no. TANGO2/340869/NCBR/2017 and by the funds of Polish Ministry of Science and Higher Education assigned to AGH University of Science and Technology. We would also like to thank our partners from PZU for supporting the research and the experiments.
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Paciorek, M. et al. (2021). Effective Car Collision Detection with Mobile Phone Only. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science(), vol 12747. Springer, Cham. https://doi.org/10.1007/978-3-030-77980-1_24
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DOI: https://doi.org/10.1007/978-3-030-77980-1_24
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