Abstract
Accident reconstruction is the process of reliably discovering what has happened before a serious event. We show how the most widely used intra vehicular network (namely the Controller Area Network, CAN) can be used in this process. We show how the actual velocity and steering wheel position transmitted on the CAN network can be used to reconstruct the trajectory of a vehicle. This trajectory is an essential input in the reconstruction process. In this paper, we show how the CAN traffic of an actual vehicle can be used to reconstruct the trajectory of the vehicle, and we evaluate our approach in several real life experiments including normal and pre-accident situations.
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Acknowledgement
The work presented in this paper was partially supported from the grant GINOP-2.1.1-15. The project has been supported by the European Union, co-financed by the European Social Fund. EFOP-3.6.2-16-2017-00002.
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Gazdag, A., Holczer, T., Buttyán, L., Szalay, Z. (2018). Vehicular Can Traffic Based Microtracking for Accident Reconstruction. 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_39
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DOI: https://doi.org/10.1007/978-3-319-75677-6_39
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