Abstract
A target detection method based on millimeter-wave radar and visual sensor information fusion is proposed. First, the millimeter-wave radar and the camera are jointly calibrated to realize the spatio-temporal synchronization of the radar and the image data, and accurately project the target position detected by the radar into the image. According to the principle of target detection of millimeter-wave radar, the limitation of the maximum detection speed of radar and the problem of the decrease of position detection accuracy when the target is at a large angle are analyzed. The data fusion algorithm based on dual sensors is analyzed and researched, and a data model of information fusion of visual camera and millimeter wave radar is established. Theoretical analysis and experimental results show that the accuracy of the algorithm based on multi-sensor data fusion is better than the target detection algorithm based on single millimeter wave radar or camera image data.
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