HUMANE AUTOMOTIVE SYSTEM USINGDRIVER AND PEDESTRIAN INTENTION RECOGNITION

摘要

Most traffic accidents are caused by drivers' carelessness and lack of information regardingsurrounding objects. This paper proposes a model of human intention recognition usingcase-base learning to construct an experimental system. The system can help us recognizeobject's intentions (e.g. turn left, turn right or go straight) by using detected data abouthuman's motions, speed of the car and the distance between the car and the intersection.