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Road dividing method

A technology of roads and weights, applied in image analysis, image data processing, instruments, etc., can solve problems such as environmental factor interference, and achieve the effect of enhancing robustness and good robustness

Active Publication Date: 2014-10-08
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to solve the technical problem that the current road segmentation method is easily disturbed by environmental factors. Therefore, the present invention proposes a robust road segmentation method

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Embodiment Construction

[0016] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0017] The present invention proposes a graph cut method with learnable n-link weights for road segmentation. The road image is represented by an s-t graph (s-t Graph), and the road image segmentation is realized under the framework of the graph cut method. ,like figure 1 As shown, the method includes:

[0018] Step S1: train the n-link (Neighboring Link) weight estimator offline to obtain the n-link weight estimator, train the t-link (Terminal Link) weight estimator offline to obtain the t-link weight estimator; n The -link weight estimator uses a statistical learning method to fit the mapping relationship between the features of adjacent pixels and the n-link weight. The t-link weight estimator uses the statistical le...

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Abstract

The invention discloses a road dividing method. The method comprises the steps that S1, an n-link weight estimator is trained offline, the n-link weight estimator is obtained, a t-link weight estimator is trained offline, and the t-link weight estimator is obtained; S2, the n-link weight and the t-link weight are estimated through the n-link weight estimator and the t-link weight estimator respectively, a road image is divided online under an image division method framework, and a road area in the road image is obtained. According to the road dividing method, the mapping relation between the characteristics of adjacent pixel points and the n-link weight and the t-link weight is fitted with the statistical learning method, the trained n-link weight estimator and the trained t-link weight estimator are utilized for estimating the n-link weight and the t-link weight, the minimum division of a s-t image is obtained with the maximum flow / minimum division algorithm, and the road area is obtained. The road dividing method has good robustness for interference factors in the road environment.

Description

technical field [0001] The invention relates to the technical field of vehicle assisted driving, in particular to a road segmentation method used in a road detection system. Background technique [0002] The development of the automobile industry has a history of more than 100 years. The appearance of automobiles has greatly improved people's production and lifestyle, and promoted the development of social economy. While automobiles bring convenience to human life, they also bring many problems, such as frequent traffic accidents, excessive energy consumption, and serious environmental pollution. In urban areas with traffic jams, drivers need to complete 20-30 coordinated movements of hands and feet per minute to realize vehicle control, so driving tasks in traffic jams are quite complicated. With the development of society, people have higher and higher requirements for automobiles in terms of safety, environmental protection, economy and comfort. Technologies such as sen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 汤淑明袁俊
Owner INST OF AUTOMATION CHINESE ACAD OF SCI