Vehicle information detecting and recognizing system under multilane condition

Abstract

The invention discloses a vehicle information detecting and recognizing system under the multilane condition. The vehicle information detecting and recognizing system comprises a computer system and a portal frame stretching over lanes, wherein a laser scanner and a high-definition license plate recognition device are arranged on the portal frame, a first dot matrix type wheel shaft sensor, a shaft weight sensor and a second dot matrix type wheel shaft sensor are sequentially arranged on the lane under the portal frame, and the laser scanner, the high-definition license plate recognition device, the first dot matrix type wheel shaft sensor, the shaft weight sensor and the second dot matrix type wheel shaft sensor are respectively connected with the computer system. The vehicle information detecting and recognizing system has the advantages that the two-dimension cross section size and the running position of a vehicle are detected through the laser scanner, and the vehicle three-dimension reconstitution and the vehicle separation are realized; the license plate information and the human face information are precisely collected through the license plate recognition device; the vehicle information such as the shaft distance, the shaft length, the shaft number, the shaft type, the wheel distance, the wheel width and the wheel number are measured according to signals output after a vehicle tyre presses the wheel shaft sensor; and the shaft weight and the total weight are measured through the shaft weight sensor.

Description

technical field [0001] The invention relates to the technical field of multi-lane vehicle information detection systems, in particular to a multi-lane vehicle information detection and identification system. Background technique [0002] How to detect and identify the complete information of passing vehicles in real time under various traffic conditions under multi-lane conditions, such as the number of wheels, wheelbase, axle number, wheelbase, axle type, vehicle width, vehicle height, vehicle length, Axle weight, total weight, vehicle type, vehicle type (passenger car, truck), vehicle speed, license plate color, license plate number, etc. have always been major due issues in the research of the transportation industry. Basic data necessary for management, transportation planning and intelligent transportation. High-precision and complete vehicle information is the basis for realizing multi-lane non-stop toll collection system and network toll data checking and sorting sys...

AI Technical Summary

Problems solved by technology

However, due to its data acquisition method, the spatial point cloud data it obtains has characteristics such as discontinuity, irregularity, and uneven data density. Therefore, there are still certain limitations in the precise extraction of traffic and vehicle information directly using laser scanning data. Difficult and unable to obtain vehicle chassis information

[0007] The accuracy of vehicle information identification using electronic tag technology can meet very high requirements. However, due to many factors such as laws and costs, it is impossible for China to require all passing vehicles to be equipped with electronic tags at this stage. At present, this method is not feasible.

[0008] To sum up, there is currently no multi-lane vehicle information detection and recognition system that can comprehensively detect various parameters.

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