Method for detecting overall dimension of running vehicle based on binocular vision

Abstract

The invention discloses a method for detecting the overall dimension of a running vehicle based on binocular vision. The method comprises the following steps: calibrating and correcting a binocular camera; performing moving object recognition and tracking on the corrected view to obtain a vehicle feature region; enabling the identified vehicle surface to be subjected to texture enhancement processing, so that the problem of low detection precision of a weak texture surface is solved; based on vehicle driving scene characteristics, providing a stereo matching algorithm based on time sequence propagation to generate a standard disparity map, and improving the vehicle overall dimension measurement precision; performing three-dimensional reconstruction on the generated disparity map to generate a point cloud map; providing a space coordinate fitting algorithm, fitting a plurality of frames of point cloud images of the tracked vehicle, generating a standard vehicle overall dimension image. The problem that the overall dimension of the vehicle cannot be completely displayed through a single frame of point cloud image is solved. The method is not limited by the vehicle speed in measurement effect, high in measurement precision, wide in measurement range and low in cost. The binocular camera has the advantages of being flexible in structure, convenient to install and suitable for measurement of all road sections.

Description

technical field [0001] The invention belongs to the technical field of computer vision and relates to a method for detecting the outer dimension of a vehicle, in particular to a method for detecting the outer dimension of a driving vehicle based on binocular vision. Background technique [0002] The main way to detect illegal modification of vehicle exterior decoration in my country is the traffic police inspection. This method is inefficient, and most road sections in the transportation network are in a state of missed inspection. Therefore, some freight car owners tamper with the outer dimension of the vehicle for economic benefits, and some car owners arbitrarily add roof boxes, luggage boxes, etc., causing great hidden dangers to road traffic safety. The high-efficiency and intelligent detection of the outline size of driving vehicles can not only detect illegal modification of vehicles in time, but also play an important role in road sections such as height and width re...

AI Technical Summary

Problems solved by technology

But there are the following disadvantages: 1. As an active measuring device, lidar can only measure the outer dimensions of vehicles with a speed of less than 30km / h; 2. The hardware cost is high, and the market price of mid-range lidar is more than 5,000 yuan; 3. Poor environmental adaptability, And it cannot be protected by a mask, and it needs to be cleaned frequently in an outdoor environment; 4. The vehicle license plate cannot be recognized, and vehicle management information cannot be saved

Therefore, it cannot be applied to the measurement of the outer dimensions of road vehicles

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