An Intelligent Smartphone-Based ADAS


Hina M. D., Soukane A., Ramdane-Cherif A.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Turkey, 19 - 21 July 2022, vol.504, pp.923-931 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 504
  • Doi Number: 10.1007/978-3-031-09173-5_106
  • City: Bornova
  • Country: Turkey
  • Page Numbers: pp.923-931
  • Keywords: ADAS, Intelligent transportation, Fuzzy logic, Inference engine
  • Istanbul Technical University Affiliated: No

Abstract

There is a need for an alternative ADAS (advanced driving assistance system) given that current ones are expensive and closed to proprietary constraints. CASA (CAr Safety App) is a low-cost, alternative ADAS which is deployable in a driver's smartphone or tablet. Its cognition of driving context is based upon the fusion of various parameters representing the context of the environment, the driver, and the vehicle. The decisional system of CASA determines if there are situations (notification, alert, or danger) that must be mitigated. If so, the driving assistance takes effect, and the assistance message/signal is sent to the driver, the vehicle or both. This ADAS also contains a fuzzy logic system infers the driver's profile based on the behavior of the person on the wheels and sends assistance messages suitable for such driver. Overall, this intelligent smartphone-based alternative ADAS is a tool that minimizes accident and keeps road navigation safe.