Vehicle model identification method of microwave radar in multiple scenes

Abstract

The invention discloses a vehicle model identification method of a microwave radar in multiple scenes. According to the method, a temporary classification result of a vehicle is obtained via real-timeanalysis under the condition of guaranteeing a higher accuracy rate, and a final vehicle model judgment result is obtained through multi-frame fusion; 77GHz is taken as a center frequency, compared with a 24GHz frequency band, the distance resolution and the distance precision are higher, and a vehicle model identification function is added on the basis of the basic detection information of the radar, such as distance, speed and angle, etc., the detection function of the radar is enriched, the collection of road surface information is facilitated, and a currently adopted vehicle model identification method based on image processing by using a camera is replaced; the cost of the camera is saved, and the functionality and convenience of the radar are enriched.

Description

technical field [0001] The invention belongs to the technical field of vehicle vehicle identification in traffic monitoring, and in particular relates to a vehicle vehicle identification method for microwave radar in multiple scenarios. Background technique [0002] With the rapid development of social economy, the traffic congestion problem is becoming more and more serious. As the population grows, the traditional way of building and expanding roads becomes less and less applicable due to the limitation of road space. Therefore, establishing an overall effective intelligent transportation system has also become a major issue in the current transportation field. [0003] Intelligent transportation system refers to the effective use of scientific and technological means on transportation infrastructure to form a new transportation operation system and realize changes in traditional transportation infrastructure. Through real-time acquisition and analysis of road condition i...

AI Technical Summary

Problems solved by technology

This method has high measurement accuracy and is not affected by the environment, but the cost is high and there is light wave pollution

[0009] The video recognition method uses a camera to extract image information, and conducts training and recognition through machine learning, deep learning, etc. The accuracy rate is high, but due to the large amount of calculation, it is difficult to ensure real-time performance, and the cleaning of the camera also requires labor costs

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