Vehicle type identification method and vehicle type identification system

Abstract

The present invention discloses a vehicle type identification method and a vehicle type identification system which relate to the intelligent traffic field. The method comprises the steps of using a first rotation scanning type ranging laser to obtain the displacement information of a to-be-measured vehicle; using a second rotation scanning type ranging laser to obtain the cross-section data of the to-be-measured vehicle; obtaining the three dimensional contour of the to-be-measured vehicle according to the displacement information and the cross-section data; extracting the characteristic information of the to-be-measured vehicle from the three dimensional contour, and classifying or identifying the characteristic information to obtain the vehicle type information of the to-be-measured vehicle. The method and system of the present invention are not influenced by the vehicle driving status and the weather, are easy to install and maintain, and are high in identification accuracy and wide in application field.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a vehicle type identification method and system. Background technique [0002] Intelligent transportation is the development direction of future transportation. It effectively integrates advanced information technology, data transmission technology, electronic sensing technology, and control technology into traffic management, which can effectively reduce traffic load and improve transportation efficiency. The core function of the intelligent transportation system is the accurate detection of passing vehicles and the correct identification of vehicle types. [0003] At present, there are several methods for automatic identification of motor vehicle models: [0004] 1. On-board equipment identification method [0005] Identify vehicles by reading the information of the on-board equipment installed in the vehicle, such as the electronic non-stop toll collection system, i...

AI Technical Summary

Problems solved by technology

When the distance between two vehicles is small, the grating cannot separate the vehicles, especially when the distance between the two vehicles is less than the distance between the beams of the horizontal grating, it is very likely that the vehicle cannot be separated; in addition, the vehicle profile is obtained by whether the beam of the vertical grating is blocked or not. , for some models, the accurate information of the vehicle cannot be obtained only by blocking the beam, and the model cannot be accurately judged

In addition, the performance of equipment such as gratings is greatly affected by weather factors, resulting in low accuracy of vehicle identification

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