Road Detection Based on Region Grid Analysis Using Structural Similarity

I Komang Somawirata; Kartiko Ardi Widodo; Fitri Utaminingrum; Sentot Achmadi

doi:10.1109/ICFST51577.2020.9294778

Road Detection Based on Region Grid Analysis Using Structural Similarity

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I Komang Somawirata, Kartiko Ardi Widodo, Fitri Utaminingrum, Sentot Achmadi

2020 2020 IEEE 4th International Conference on Frontiers of Sensors Technologies, ICFST 2020 Conference paper Cited by 1

Abstract

Road detection is one of common used in autonomous vehicle robot. The fast road detection process is needed by autonomous vehicle robot for steering the robot following the road. So, in this paper proposes a method to detect roads using similarity analysis. An image is obtained by capturing from the camera sensor. This image is graded and then the region of image in the grid areas is analyzed by structural similarity (SSIM) index analysis. The structural similarity method compares the two images between region grid image area and references image. A reference image is a sample image that represents a road surface. In this paper, we accept the region grid image areas as a road surface, if it has SSIM index value greater than 0.995. This value is obtained from the results of repeated experiments. The experiment shows that the proposed method has capable detect the road surface in the region of the grid image areas, as shown in the image in the experimental result. © 2020 IEEE.

Affiliations

National Institute of Technology (ITN Malang), Department of Electrical Engineering, Indonesia; Computer Vision Research Group, Faculty of Computer Science, Brawijaya University, Indonesia

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