Segmented and Directional Impact Detection for Parked Vehicles using Mobile Devices

Ebert, Andre; Feld, Sebstian and Dorfmeister, Florian (2016): Segmented and Directional Impact Detection for Parked Vehicles using Mobile Devices. 2016 International Conference on Systems, Signals and Image Processing (IWSSIP), Bratislava, Slovakia, 23-25 May 2016. IEEE Computer Society. pp. 303-306

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.

• Item Type: Conference or Workshop Item (Report)
• Faculties: Mathematics, Computer Science and Statistics > Computer Science
• Subjects: 000 Computer science, information and general works > 004 Data processing computer science
• ISSN: 2157-8672
• Language: English