Road distance detection method based on video image and apparatus thereof

Abstract

An embodiment of the invention discloses a road distance detection method based on a video image and an apparatus thereof, relating to the intelligent traffic field. Cost is low, maintenance is easy, and accuracy of vehicle detection is high. The method comprises the following steps: according to an internal parameter and an external parameter of an image acquisition apparatus, calculating a mapping conversion equation from an image coordinate system to a world coordinate system; according to an end point coordinate corresponding to a road distance to be measured in the image coordinate system and the mapping conversion equation, calculating a corresponding road distance in the world coordinate system; multiplying the corresponding road distance in the world coordinate system with an error correction coefficient to obtain a real road distance of an actual calculation position. The method and the apparatus are mainly applied to inspection of video range finding, vehicle distance and vehicle speed.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a method and device for detecting road surface distance based on video images. Background technique [0002] In order to grasp the traffic conditions on the road surface, such as vehicle flow, vehicle speed, inter-vehicle distance and other relevant road surface information, a vehicle detection method based on ground sensing coils can be used. The vehicle detection method based on the ground induction coil includes: burying a ground induction coil for inducting vehicles under the ground where vehicle detection is required, the ground induction coil is provided with a drive unit and a detection unit, and usually two vehicles are buried at a certain distance on each lane. A ground sense coil; the output signal of the ground sense coil is sent to the vehicle detector, and the vehicle detector is provided with a central processing unit for corresponding calculation and contr...

AI Technical Summary

Problems solved by technology

The process of mapping the image in the three-dimensional world coordinate system to the two-dimensional coordinate system will lead to size errors in the image, resulting in low accuracy of the obtained vehicle speed measurement results

In addition, the image acquisition device has distortion and installation viewing angle limitations, which will cause the test of the above technical solution to not reflect the actual speed of the vehicle, and cannot be used as reasonable evidence for speed measurement

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