A Computer Vision-Based Model for Road Marking and Road Damage Detection to Enhance Road Safety 


Vol. 49,  No. 5, pp. 653-662, May  2024
10.7840/kics.2024.49.5.653


PDF
  Abstract

This paper addresses the challenges in road safety and infrastructure maintenance management posed by physical damages to road signs and road surfaces. Existing road monitoring methods that support these aspects often rely heavily on manual labor, proving to be inefficient, subjective, and yielding inconsistent results. In this paper, we propose a new model that dynamically detects road signs and damaged areas from the perspective of moving vehicles. This model integrates object detection technology for road sign recognition and segmentation technology for identifying damaged areas, forming a parallel relationship between these two stages. This approach not only assists in driving by identifying road damages but also extends to supporting maintenance, providing a fundamental solution compared to traditional systems. The proposed model focuses on real-time operation and maintenance support for damaged areas, offering a comprehensive solution for road safety and maintenance. By combining segmentation and object detection technologies, the proposed model aims to overcome the limitations of existing methods that either focus solely on real-time response or overlook various information about the road, aiming to provide a comprehensive solution for road safety and maintenance.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Related Articles
  Cite this article

[IEEE Style]

J. Jang, M. Park, J. Kim, "A Computer Vision-Based Model for Road Marking and Road Damage Detection to Enhance Road Safety," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 5, pp. 653-662, 2024. DOI: 10.7840/kics.2024.49.5.653.

[ACM Style]

Juhyeon Jang, Myeongseok Park, and Jaeyun Kim. 2024. A Computer Vision-Based Model for Road Marking and Road Damage Detection to Enhance Road Safety. The Journal of Korean Institute of Communications and Information Sciences, 49, 5, (2024), 653-662. DOI: 10.7840/kics.2024.49.5.653.

[KICS Style]

Juhyeon Jang, Myeongseok Park, Jaeyun Kim, "A Computer Vision-Based Model for Road Marking and Road Damage Detection to Enhance Road Safety," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 5, pp. 653-662, 5. 2024. (https://doi.org/10.7840/kics.2024.49.5.653)
Vol. 49, No. 5 Index