Abstract:

In order to solve the problems of low precision, dependence and low mobility for common vehicle velocity measurement system, a vehicle borne autonomous velocity measurement model is designed. Therefore, the problem of vehicle velocity measurement is transformed into sequence image matching. Considering the constrained parameters of vehicle movement and the characteristics of sequence images, sequence image matching method is analyzed in four aspects of feature extraction, similarity measurement, searching space and searching strategy. Image matching algorithm is also designed. The simulation result shows that the matching method base on binary images and similarity measurement of mean absolute error function ensure computation complexity greatly reduced with a high computation efficiency. And the proposed matching algorithm exhibits a behavior with a high matching precision and speed. The result of vehicular test proves the effectiveness and reliability of the proposed method.