Abstract
Almost every vehicle in the world has a certain level of data recording device in the present. The parameters stored here will help you find the basic information about the vehicles. However, the capture unit can store the data itself up to an accident, which can be retrieved after saving. A number of tests are currently being carried out as to know exactly what these devices and what data can be extracted from them and how far they can be expanded. In many cases, the tests are done by colliding two cars from which the experts can analyze the recording of the usable devices after the break. These reveal the limitations of available locking units or the unused options available. This article describes all the tools that will allow you to explore the data recorded by the vehicles. These data can already be great significance for accident analysis. With the development of traffic and the emergence of autonomous vehicles, accidents can continue to happen with each other and with their environment. The tools help you if witnesses have not been present during the crash. This can happen similarly to the later levels of autonomy, when no driver is needed and no witness will be present during the collision. In the future, the data in our hands could make great progress in preventing accident, reducing environmental pollution, and even failing to reconstruct accidents.
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References
Rusted, J.: The Cube Project (2016)
https://www.ing-brockmann.de/leistungen/edr-cdr-und-uds/edr-cdr/
Tihanyi, V., Szalay, Zs.: Autonomous vehicle platform for demonstration purposes. In: Vehovszky, B., Bán, K., Takács, J. (eds.) 34th International Colloquium on Advanced Manufacturing and Repairing Technologies in Vehicle Industry, Visegrád, Hungary, pp. 145–148, 17–19 May 2017. ISBN 978-963-313-258-
Szalay, Zs., Lengyel, L., Ekler, P., Ujj, T., Charaf, H.: ICT in road vehicles — reliable vehicle sensor information from OBD versus CAN. In: 4th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Budapest, Hungary, pp. 469–476 (2015). ISBN 978-9-6331-3140-4; 978-963-313-142-8
Pintér, K., Szalay, Zs., Vida, G.: BME/KJK/Department of automotive technologies, autonomous vehicles - novel types and causes of traffic accident, responsibility In: Vehovszky, B., Bán, K., Takács, J. (eds.) 34th International Colloquium on Advanced Manufacturing and Repairing Technologies in Vehicle Industry, Visegrád, Hungary, pp. 187–190, 17–19 May 2017. ISBN 978-963-313-258-6
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Lengyel, H., Tihanyi, V. (2018). Accident Reconstruction Tools, with Special Attention to Autonomous Vehicles. In: Jármai, K., Bolló, B. (eds) Vehicle and Automotive Engineering 2. VAE 2018. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-75677-6_33
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DOI: https://doi.org/10.1007/978-3-319-75677-6_33
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