Driver Assistant in Automotive Socio-cyberphysical System - Reference Model and Case Study

Abstract

The paper presents an automotive socio-cyberphysical system for assisting a vehicle driver. The system allows to notify people if they drive while being tired or drowsy. The reference model consist of the driver, the vehicle, driver’s personal smartphone, vehicle infotainment system and cloud. Interaction of these components is implemented in a cyber space. Using smartphone cameras, the system determines the driver state using the computer vision algorithms and dangerous events identification diagram proposed in the paper. Presented approach has been implemented for Android-based mobile device and case study has been described in the paper.