基于粗糙性度量的道路可行驶区域识别方法

doi:10.19562/j.chinasae.qcgc.2021.11.004

Abstract

Abstract:

A method for identifying the drivable region of road image based on roughness measure is proposed in this paper. Firstly， the roughness information of the road image is defined to obtain the color distribution histogram of the road image and its upper and lower approximation information， and the initial segmentation of the road image is realized through the roughness measurement. Then， region merger is conducted according to the color difference and pixel scale in the color regions of the initial segmentation image， to obtain the characteristics of the drivable regions of the road. Next， the improved region growing algorithm is used to identify the feature image. Finally， the recognition of the drivable regions of the road is realized. The results of experiment show that the identification method has achieved good results.

Key words: road image, rough set, region growing algorithm, K-means clustering

Lei Ma,Zebin Liu,Biao Cao,Wenju Wang,Quanyuan Qiu. Roughness Measure-Based Road Drivable Region Identification[J].Automotive Engineering, 2021, 43(11): 1594-1601.

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References 13

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Roughness Measure-Based Road Drivable Region Identification

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