Expressway entrance and exit ETC accurate identification method based on artificial intelligence

Abstract

The invention discloses an expressway entrance and exit ETC accurate identification method based on artificial intelligence, and relates to the field of ETC vehicle identification. The method specifically comprises the following steps of: S1, identifying vehicle information by adopting Python + OpenCV artificial intelligence combination, and pre-judging a lane into which a vehicle is about to drive; S2, determining a lane into which the vehicle is about to drive according to data obtained by Python + OpenCV artificial intelligence combination analysis; S3, starting the laser radar of the corresponding lane, and continuously scanning the distance between the laser radar and the measured vehicle; S4, calculating the time when the vehicle reaches the effective identification range of RSU equipment according to the change of the distance between the laser radar and the measured vehicle along with the time; S5, calling a time library of a computer, calling the time in the step S4, and regularly controlling an electromagnetic relay connected with antenna equipment in the RSU equipment; and S6, when the vehicle enters the identification range of the antenna equipment in the RSU, enablingthe antenna equipment in the RSU to send out a radio signal, so as to realize communication between OBU equipment and the RSU equipment.

Description

technical field [0001] The invention relates to the field of ETC vehicle identification, in particular to an artificial intelligence-based accurate identification method for ETC at entrances and exits of highways. Background technique [0002] Promoting the cancellation of highway toll stations at provincial borders and using new technologies such as ETC devices to replace manual toll collection is the current mainstream trend in the development of highway toll collection methods. However, the recognition accuracy of existing ETC devices is not high. When the vehicle passes through the ETC lane, there will be a phenomenon that the lever is not lifted or the lever is raised by mistake when it is adjacent to the ETC lane. The reasons for these problems are mostly due to the inaccurate radiation angle of the main lobe of the Road Side Unit (RSU) antenna on the mast of the entrance and exit of the expressway, and the signal is average, but the side lobe has a high signal streng...

AI Technical Summary

Problems solved by technology

When the vehicle passes through the ETC lane, there will be a phenomenon that the pole is not lifted or the pole is raised by mistake when it is adjacent to the ETC lane.

The reasons for these problems are mostly due to the inaccurate radiation angle of the main lobe of the Road Side Unit (RSU) antenna on the mast of the highway entrance and exit, the signal is average, and the side lobe has a high signal strength.

Because the On Board Unit (OBU) device will communicate with the first encountered signal, it is difficult to control the electromagnetic wave radiation direction of a single antenna, which directly affects the recognition rate

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