CORA, a prototype for a cooperative speech-based on-demand intersection assistant

Abstract

We present the first speech-based advanced driver assistance prototype. It is based on our previously proposed on-demand communication concept for the interaction between the driver and his or her vehicle. Using this concept, drivers can flexibly activate the system via speech whenever they want to receive assistance. We could show via driver simulator studies that an instantiation of this concept as an intersection assistant, supporting the driver in turning left, was well received by drivers and preferred to an alternative, vision-based system. In this paper, we present a prototype implementation and give details on how we adapted it to the intricacy of urban traffic as well as to the shortcomings of current sensor technology in establishing an adequate environment perception. The accompanying video gives an impression of the interaction between the driver and the system when cooperatively turning left from a subordinate road into crossing traffic.