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Ebert, Andre; Feld, Sebstian; Dorfmeister, Florian (2016): Segmented and Directional Impact Detection for Parked Vehicles using Mobile Devices. 2016 International Conference on Systems, Signals and Image Processing (IWSSIP), 23-25 May 2016, Bratislava, Slovakia.
Full text not available from 'Open Access LMU'.

Abstract

Mutual usage of vehicles as well as car sharing became more and more attractive during the last years. Especially in urban environments with limited parking possibilities and a higher risk for traffic jams, car rentals and sharing services may save time and money. But when renting a vehicle it could already be damaged (e.g., scratches or bumps inflicted by a previous user) without the damage being perceived by the service provider. In order to address such problems, we present an automated, motion-based system for impact detection, that facilitates a common smartphone as a sensor platform. The system is capable of detecting the impact segment and the point of time of an impact event on a vehicle's surface, as well as its direction of origin. With this additional specific knowledge, it may be possible to reconstruct the circumstances of an impact event, e.g., to prove possible innocence of a service's customer.