Method for measuring distance and height by vehicle-mounted monocular camera based on vertical type target

A monocular camera and camera technology, applied in the field of intelligent vehicle environment perception, can solve the problems of actual measurement of precision and data fitting errors and influences, and achieve the effects of improving measurement accuracy, reducing costs, and reducing errors

Inactive Publication Date: 2014-01-01
BEIHANG UNIV
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Problems solved by technology

This method is also widely used in engineering, but requires a larger site, and the accuracy will be affected by actual measurement and data fitting errors
As for hei

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  • Method for measuring distance and height by vehicle-mounted monocular camera based on vertical type target
  • Method for measuring distance and height by vehicle-mounted monocular camera based on vertical type target
  • Method for measuring distance and height by vehicle-mounted monocular camera based on vertical type target

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Embodiment Construction

[0026] The technical solutions of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0027] The present invention provides a method for measuring distance and height of a vehicle-mounted monocular camera based on a vertical target, which is mainly aimed at calculating the height of the object and its distance from the vehicle when the vehicle-mounted monocular camera has detected a road object. The equidistance and height measurement of obstacles in front of the vehicle are important parameter information for collision avoidance warning, path planning and vehicle classification, culvert bridge passability detection, etc. of unmanned or assisted driving systems, and have strong engineering application value. The method provided by the invention can realize monocular distance measurement and height measurement with only one camera, has high measurement accuracy, and is simple and feasible to operate.

[0028] The meth...

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Abstract

The invention discloses a method for measuring distance and height by a vehicle-mounted monocular camera based on a vertical type target, and belongs to the technical field of intelligent vehicle environmental perception. Through the operations of template matching, candidate point clustering and screening and accurate positioning on a region of interest of a vertical type target image, the method realizes the detection and the positioning of a sub pixel level angular point, combines a projective geometry model, and creates a mapping relation between an image ordinate and an actual imaging angle, thereby realizing the measurement of the distance and the height. The inner and outer parameters of the camera are not needed to be calibrated, a calibrating board or a reference object is not needed to be placed repeatedly, the possibility of the occurrence of error is reduced, and not only are the operation steps reduced, but also the measuring accuracy is improved; compared with the conventional corner detection, the target point of the target can be detected more accurately, so that the calculated amount of the follow-up clustering and screening is reduced, the height measure of the monocular camera is realized on the basis of calculating the actual imaging angle and distance, and the cost is greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of intelligent vehicle environment perception, relates to a distance measurement and height measurement technology based on machine vision, and specifically relates to a vehicle-mounted monocular camera based on a vertical target for distance measurement and detection of obstacles, bridge holes or culverts, etc. altimetry method. Background technique [0002] As the most important part of the intelligent vehicle environment perception system, machine vision provides a large amount of necessary environmental information for the decision-making layer, which is of great significance. Among them, the distance measurement and height measurement of the object provide important parameter information for the anti-collision warning, path planning and vehicle classification of the driverless or assisted driving system, and the passability detection of culverts and bridges. At present, the machine vision measurement o...

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Application Information

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IPC IPC(8): G01C11/00G01C11/04
CPCG01B11/02G01C3/00
Inventor 高峰徐国艳丁能根黄小云邢龙龙朱金龙
Owner BEIHANG UNIV
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