Recent data has identified inattention (including distraction and falling asleep at the wheel) as the primary cause of traffic accidents, accounting for at least 25% of the crashes. Then, a growing number of In-vehicle Information Systems (IVIS) and of Advanced Driver Assistance Systems (ADAS) increases the potential driver distraction and his driving behaviours. Distractions detection is a sector that has not been as widely investigated as sleepiness detection. However, deep studies are needed in this sector due to the great relevance that it will reach in the next years. Being conscious of this problem, a system for cognitive and visual distractions detection is proposed in this project for a double goal: 1) to design a system for warning the driver when he is not paying adequate attention to the road, in order to prevent accidents, 2) to analyze the driver behaviour facing the new IVIS and ADAS, in order to integrate them in a safety way.
Este proyecto tiene como objetivo el diseño del habitáculo de un vehículo dotado con tecnologías inteligentes, capaces de detectar el comportamiento del conductor (hábitos saludables frente a conductas de peligro en el contexto de una conducción segura), así como el estudio de los parámetros que caracterizan al vehículo y al conductor en los instantes previos a un accidente.
University of Alcalá
Av. Jesuitas s/n.
Alcalá de Henares, 28871