Accurate identification method of expressway entrance and exit etc based on artificial intelligence

Abstract

The invention discloses an artificial intelligence-based accurate identification method for ETC of entrances and exits of highways, and relates to the field of ETC vehicle identification. The method specifically includes the following steps: Step S1: Use Python+OpenCV artificial intelligence combination to identify vehicle information and predict the lane that the vehicle will enter. Step S2: Determine the lane that the vehicle is about to drive into based on the data obtained from the combined analysis of Python+OpenCV artificial intelligence. Step S3: Turn on the laser radar corresponding to the lane, and continuously scan the distance between the laser radar and the vehicle under test. Step S4: Calculate the time when the vehicle reaches the effective recognition range of the RSU device according to the time-dependent change of the distance between the lidar and the measured vehicle. Step S5: call the time library of the computer, and call the time in step S4, and regularly control the electromagnetic relay connected to the antenna device in the RSU device. Step S6: When the vehicle enters the identification range of the antenna device in the RSU, the antenna device in the RSU sends out a radio signal, thereby realizing the communication between the OBU device and the RSU device.

Description

technical field [0001] The invention relates to the field of ETC vehicle identification, in particular to an artificial intelligence-based high-speed highway entrance and exit ETC accurate identification method. Background technique [0002] Promoting the cancellation of expressway toll stations at provincial borders and replacing manual toll collection with new technologies such as ETC devices is the mainstream trend in the development of expressway toll collection methods. However, the recognition accuracy of the existing ETC device is not high. When the vehicle passes through the ETC lane, there will be the phenomenon that the stick is not lifted or the stick is incorrectly lifted and released near the ETC lane. The reasons for these problems are mostly due to the inaccurate radiation angle of the main lobe antenna of the Road Side Unit (RSU) antenna on the highway entrance and exit gantry, the signal is average, and the side lobe has a high signal strength. Because the...

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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