Geometric constraint-based vehicle fine-grained identification method
A technology of geometric constraints and recognition methods, applied in the field of intelligent transportation, can solve the problems of a large number of labeled samples and the inability to further distinguish vehicle types, etc., to meet the needs of obtaining traffic parameters, high stability and precision, and ensure universality.
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[0038] Specific embodiments of the present invention will be described in detail below. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.
[0039] The present invention uses a deep learning method to identify vehicle targets, and at the same time utilizes camera calibration results to construct geometric constraints on the vehicle targets to solve their three-dimensional information, and to perform fine-grained vehicle identification on the basis of the three-dimensional information. The method based on a single vanishing point is used for calibration. In the actual road scene, the geometric constraints of the vehicle target are constructed from the two-dimensional target detection results and the calibration results. These parameters are easy to obtain in the road environment, which fully guarantees the generality of this method in this scenario...
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