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