System and method of recognizing tunnel entrance vehicle type based on ARM

Abstract

The invention discloses a system and a method of recognizing a tunnel entrance vehicle type based on an ARM. The system comprises a camera arranged at the tunnel entrance; a ground pressure sensor is buried on the ground in front of a camera vision field center; the ground pressure sensor and the camera are both connected with a processing unit; the processing unit comprises a processor; the processor is connected with the camera and the ground pressure sensor; the processor is also connected with an image recognition system, a wheelbase calculation system, a database, a sensor recognition system and a data input and output interface. A vehicle picture, the sensor compression time and the compression times are acquired through the camera and the ground pressure sensor; the vehicle axle number, the wheelbase and the vehicle dimension are calculated and obtained; in comparison with database regulation data, the tunnel entrance passing vehicle type information is recognized accurately; the vehicle type is recognized when two recognition methods are combined; the recognition rate is improved; the laying is simple and easy to execute; and all-weather vehicle recognition can be ensured to be continued.

Description

【Technical field】 [0001] The invention relates to an all-weather monitoring and identification method for vehicles, in particular to an ARM-based identification system and method for vehicle types at bridge and tunnel entrances. 【Background technique】 [0002] With the development of intelligent transportation, vehicle type identification has become a hot research topic in the industry, which is also a prerequisite for many subsequent processes, such as safety warnings at bridge and tunnel entrances, automatic detection of road toll stations, etc. Compared with the single traffic flow information, it has greater reference value. The identified vehicle types generally include passenger cars, cars, trucks, off-road vehicles, and vans. [0003] The current vehicle identification methods commonly used in the industry mainly include visual inspection, induction coil method, infrared detection method, ultrasonic detection method and image recognition method. The visual inspectio...

AI Technical Summary

Problems solved by technology

The visual inspection method needs a lot of manpower, financial resources and time; the induction coil method is greatly affected by the speed of the vehicle, and its reliability is low; the hardware system of the infrared detection method and the ultrasonic detection method are relatively complicated, and the system has relatively high environmental requirements, and the failure rate is relatively high. It is also relatively high, and maintenance is inconvenient, so it is difficult to promote in practical applications; the model information identified by the image recognition method is single, and it is difficult to comprehensively and accurately reflect the model parameters

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