A Vision-Based Anti-Collision System for Lane Brake Lever

Abstract

The invention relates to the field of gate rail control systems, and discloses a vision-based anti-collision system for a gate rail. The vision-based anti-collision system comprises a gate, a processing module, an image collecting module, a memory module and a host computer, wherein an image of a target region is collected on the basis of the image collecting module; the processing module is used for generating a hash fingerprint of the corresponding image through a hash algorithm, comparing a template image at the beginning of judgment with an instant image through the hash fingerprint, and obtaining whether a vehicle is in the instant image or not, so as to determine whether a gate rail is put down or not. The image is processed through the hash algorithm, so that the vision-based anti-collision system for the gate rail has the advantages of good robustness, good instantaneity, high stability, low algorithm complexity and small illumination variation effect; whether the vehicle is only in the target region of the lane or not can be effectively judged; the collision of the gate rail and the vehicle is effectively prevented.

Description

technical field [0001] The invention relates to the field of lane brake lever control systems, in particular to a vision-based lane brake lever anti-collision system. Background technique [0002] Expressway toll stations are an important application field of intelligent transportation systems. In order to make the functions of cars and roads intelligent, improve transportation efficiency, ensure traffic safety, alleviate traffic congestion, and reduce environmental pollution, real-time, accurate, and efficient anti-smashing systems are particularly important. important. Due to the different chassis heights and metal contents of different vehicles, it is difficult to determine the sensitivity range of the traditional ground induction coil, resulting in failures such as the pole falling before the vehicle passes or the pole not falling after the vehicle passes. In addition, the ground induction coil will be deformed under the rolling of a large vehicle, and even cause irreve...

AI Technical Summary

Problems solved by technology

Due to the different chassis heights and metal contents of different vehicles, it is difficult to determine the sensitivity range of the traditional ground induction coil, resulting in failures such as the pole falling before the vehicle passes or the pole not falling after the vehicle passes.

In addition, the ground induction coil will be deformed under the rolling of a large vehicle, and even cause irreversible damage, resulting in a decrease in the stability of the induction coil

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