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Abstract
In order to solve the problems of using a single radar or video sensor in the traffic information detection process, such as susceptibility to environmental influences and non-intuitive target reflections, we propose a detection method using target correlation matching, target tracking, and target data fusion, and we show how to adjust the detection weights of the video sensor and radar sensor by adjusting the noise matrix parameters, which forms a flexible, simple, and nimble method. The efficient architecture allows accurate results in challenging environments. We show the effect on radar detection data and video detection data before and after adjustment. We test the proposed method by building a hardware verification platform and finally demonstrate it on video images. The experimental results show that the proposed method can significantly reduce the testing time while providing high detection rate in more environments.
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