Segmented and directional impact detection for parked vehicles using mobile devices
| Autor: | Andre Ebert, Sebastian Feld, Florian Dorfmeister |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
FOS: Computer and information sciences
Service (business) 050210 logistics & transportation Point (typography) business.industry Event (computing) Computer science Computer Vision and Pattern Recognition (cs.CV) 05 social sciences Real-time computing Computer Science - Computer Vision and Pattern Recognition 020207 software engineering 02 engineering and technology Service provider Renting Order (business) 0502 economics and business 0202 electrical engineering electronic engineering information engineering business Mobile device |
| Zdroj: | 2016 International Conference on Systems, Signals and Image Processing (IWSSIP). |
| DOI: | 10.1109/iwssip.2016.7502762 |
| Popis: | 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. Comment: 4 Pages, 6 Figures, Accepted at the The 23rd International Conference on Systems, Signals and Image Processing (IWSSIP) |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|