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A vehicle distance measurement method based on monocular vision and license plate recognition

A license plate recognition, monocular vision technology, applied in character and pattern recognition, measurement device, image enhancement and other directions, to simplify the algorithm, improve real-time ranging, and simple process.

Active Publication Date: 2021-07-23
青岛中汽特种汽车有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, at present, there is no public use or report of vehicle distance detection and measurement based on monocular vision and license plate recognition.

Method used

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  • A vehicle distance measurement method based on monocular vision and license plate recognition
  • A vehicle distance measurement method based on monocular vision and license plate recognition
  • A vehicle distance measurement method based on monocular vision and license plate recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0023] The specific process of measuring the vehicle distance in this embodiment is:

[0024] Step 1. During a certain time period A, the vehicle is in a normal driving state. The vehicle-mounted monocular camera captures the road conditions in front of the lane in real time to obtain a video stream, and extracts frames at 100 frames per second from the video stream, and obtains a single image for each frame extraction. , taking the 47th frame image in time period A as the target image, and the time corresponding to the 47th frame image is time D;

[0025] Step 2. Perform image preprocessing on the target image. The image preprocessing is divided into 3 steps:

[0026] The first step is to grayscale the image to improve the contrast between the license plate image and the background image. There are three primary colors of the image, red (R), green (G), and blue (B), and the value range of each color is 0. To 255, take R, G, B equal to the average value of the three-value sum...

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Abstract

The invention belongs to the technical field of traffic information detection, and relates to a vehicle distance measurement method based on monocular vision and license plate recognition. The vehicle-mounted monocular camera captures the road conditions in front of the lane in real time to obtain a video, and first extracts frames from the video stream to obtain a single frame. target image; image preprocessing is performed on the target image; then the license plate image that only includes the license plate area is located and segmented from the target image, and the ratio of the number of pixels occupied by the lower edge of the license plate image to the number of pixels occupied by the lower edge of the target image is calculated, Using the corresponding relationship between different vehicle distances and pixel ratios, the functional relationship between vehicle distances and pixel ratios is fitted by the least square method, and the calculated pixel ratios are substituted into the function to obtain the current vehicle distance; the process is simple, the operation is convenient, and no Classify and detect vehicles, simplify the algorithm, improve real-time performance, accurate measurement data, and environment-friendly.

Description

Technical field: [0001] The invention belongs to the technical field of traffic information detection and relates to a vehicle distance measurement method based on monocular vision and license plate recognition. Background technique: [0002] During the driving process of the car, the real-time distance between the vehicle and the vehicle in front is an important driving parameter. For the driver, obtaining the real-time distance can provide timely warning and advance operation for dangerous driving conditions, effectively reducing the occurrence of rear-end collision accidents . In the field of assisted driving, real-time vehicle distance is the basic parameter of adaptive cruise system. In the field of unmanned driving, the real-time vehicle distance is one of the important parameters acquired by the vehicle autonomous driving sensor system. [0003] Currently, there are lidar, millimeter-wave radar, machine vision and ultrasonic methods for detecting the distance betwee...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06T5/40G01B11/02G01N21/84
CPCG06T5/40G01B11/022G01N21/84G06T2207/20032G06V10/759G06V10/751
Inventor 王丰元钟健潘福全张明杰
Owner 青岛中汽特种汽车有限公司
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