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A Camera Calibration Method Based on Lane Lines and Target Vehicles

A target vehicle, camera calibration technology, applied in image analysis, image enhancement, instruments and other directions, can solve the problems of large calculation error, many constraints, poor algorithm generality, etc., to enhance stability and versatility, improve calculation accuracy and Accuracy, the effect of reducing the requirements of the calibration scene

Active Publication Date: 2021-08-06
HUIZHOU DESAY SV INTELLIGENT TRANSPORTATION TECH INST CO LTD
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Problems solved by technology

[0007] The invention provides a camera calibration method based on lane lines and target vehicles, which solves the technical problems of large calculation errors, many restrictive conditions, and poor algorithm versatility in the existing calibration technology

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  • A Camera Calibration Method Based on Lane Lines and Target Vehicles
  • A Camera Calibration Method Based on Lane Lines and Target Vehicles
  • A Camera Calibration Method Based on Lane Lines and Target Vehicles

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Embodiment Construction

[0057] The embodiment of the present invention will be explained in detail below in conjunction with the accompanying drawings. The examples given are only for the purpose of illustration, and cannot be interpreted as limiting the present invention. The accompanying drawings are only for reference and description, and do not constitute the scope of patent protection of the present invention. limitations, since many changes may be made in the invention without departing from the spirit and scope of the invention.

[0058] The camera calibration method based on the lane line and the target vehicle provided by the embodiment of the present invention is suitable for the lane line calibration of the national standard expressway, expressway, and urban straight road with small changes in road surface curvature, but not suitable for curved roads such as ramps, Lane marking of connecting road sections, such as figure 1 As shown, in this embodiment, the following steps are included:

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Abstract

The present invention relates to the field of camera calibration methods, and provides a camera calibration method based on lane lines and target vehicles. The position information of lane lines and target vehicles in road images is extracted through deep learning methods, and correction formulas are set by using lane line information combined with static calibration results. Set the correction threshold to dynamically adjust the external parameter angle of the camera, and use Opencv to extract the optical flow information of the target vehicle in the detection frame of the road image, and use the changes in the optical flow information of the target vehicle in the detection frame of the upper and lower frames to re-analyze the The extrinsic parameter angle is dynamically adjusted to obtain a more accurate camera extrinsic parameter angle, which improves the calculation precision and accuracy of camera calibration, reduces the requirements for calibration scenarios, and enhances the stability and versatility of the algorithm.

Description

technical field [0001] The invention relates to the field of camera calibration methods, in particular to a camera calibration method based on lane lines and target vehicles. Background technique [0002] In the image measurement process and machine vision applications, in order to determine the relationship between the three-dimensional geometric position of a point on the surface of a space object and its corresponding point in the image, it is necessary to establish a geometric model of camera imaging, and these geometric model parameters are camera parameters. Under most conditions, these parameters must be obtained through experiments and calculations. This process of solving parameters is called camera calibration (or camera calibration). [0003] Camera calibration is very important in the process of recovering the three-dimensional information of the object in the two-dimensional image. There is a corresponding relationship between the spatial point and the image poi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/80G06T7/269G06T7/277
CPCG06T2207/30256G06T7/269G06T7/277G06T7/80
Inventor 李方刘杨卢金波胡坤福
Owner HUIZHOU DESAY SV INTELLIGENT TRANSPORTATION TECH INST CO LTD
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