Information data flow in AWAKE multi-sensor driver monitoring system

Abstract

Hypovigilance detection and warning systems are currently based on stand alone sensor approaches. This paper presents a multisensor system that allows the information fusion of different sources (vehicle, driver and environmental sensing parameters) and contributes to the decrease of false alarms and misses of the hypovigilance detection system. A hybrid scheme- centralized communication and data flow management of integrated stand alone systems- is adopted, which in turn, allows the real time application to monitor the driver and provide imminent and information messages according to his/her state and adapted to the external traffic and environmental scenario. The data flow between all systems, sensors and modules is described to synthesize the functional architecture. The system development is funded by the European so-called AWAKE project.