Intelligent assisted driving method and system

An assisted driving and intelligent technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of low real-time performance, low applicability, and low precision, and achieve high applicability, low cost, and high precision. Effect

Inactive Publication Date: 2018-01-16
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

[0010] The technical problem to be solved by the present invention is that, in view of one or more technical defects in the above-mentioned current intelligent assisted driving methods and systems,

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  • Intelligent assisted driving method and system
  • Intelligent assisted driving method and system

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Embodiment Construction

[0059] In order to have a clearer understanding of the technical features, objectives and effects of the present invention, the specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0060] Such as figure 1 As shown, it is a flowchart of an embodiment of the intelligent assisted driving method of the present invention. The intelligent assisted driving method of this embodiment includes a lane line processing step of displaying the lane line on the in-car display device, and the lane line processing step is performed by the following method Get the lane line.

[0061] S1. Obtain an image of the road in the direction of travel taken by a camera mounted on the vehicle. In this embodiment, the camera is installed in the middle of the horizontal direction of the vehicle, that is, from the left to the right or right to the left of the vehicle. Therefore, the middle point of the bottom of the image is the center of the...

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Abstract

The invention relates to an intelligent assisted driving method and system. A lane line is obtained as follows: an image, shot by a camera, of a road in a vehicle driving direction is obtained; de-distortion processing is carried out on a video frame of the image by using an internal reference matrix of the camera and inverse perspective transformation is carried out on a selected to-be-transformed region src of the video frame; threshold segmentation is carried out on the video frame after inverse perspective transformation and a lane line and a background region are separated; statistics iscarried out on the lower part of the image after threshold segmentation and an intersection point of the lane line and the bottom of the image is obtained by statistics; searching is carried out by starting with the intersection point by using a sliding window, m pixels corresponding to the lane line are determined, and curve equation fitting is carried out on the m pixels to obtain a fitted laneline. With the method and system provided by the invention, the lane line is displayed in a display device inside the vehicle; and various conditions like sudden illumination changing, tree shadow shielding, and pavement blotting are detected accurately. The method and system have advantages of high applicability, low cost, high precision, good real-time performance and high stability.

Description

Technical field [0001] The invention relates to the field of intelligent assisted driving, and more specifically, to an intelligent assisted driving method and system. Background technique [0002] At present, relevant domestic and foreign research institutions have carried out extensive and in-depth research on unmanned vehicles, and the technical performance of the products developed has been continuously improved. In mid-July 2011, the Hongqi HQ3 unmanned vehicle independently developed by the National University of Defense Technology Departing from the Changsha Yangzichong toll station, it took 3 hours and 22 minutes to reach Wuhan, with a total mileage of 286 kilometers. During the driving process, it autonomously overtook 67 times. The average speed of autonomous driving was 87 kilometers per hour, reaching the world's leading level; Beijing Institute of Technology was also the first in China to start research One of the human-driving units. In 2013, Beijing Institute of Te...

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Application Information

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IPC IPC(8): G06K9/00
Inventor 陈分雄尹关陶然黄华文王典洪刘建林唐曜曜凌承昆
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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