Development of Low-Cost Diagnostic System for Road Markings by Using In-Vehicle Camera

ABSTRACTIn Japan, road markings are greatly damaged by snow-removal operations. In order to effectively maintain and manage the markings within limited budget and personnel, it is necessary to evaluate the damages frequently and quantitatively judge the repainting using a low-cost system. The purpose of this study is to develop a diagnostic system for road markings considering both visibility in the daytime and nighttime by using the road surface image photographed by the in-vehicle camera. First, the stripping ratio of road marking was estimated by image features. To evaluate the nighttime visibility, the reflectivity measured by equipment was estimated from the relationship with stripping ratio. Second, we conducted a questionnaire survey and clarified the relation between stripping ratio and daytime visibility. Finally, based on the above results, we have proposed the road marking condition index (RMCI) and the repainting criterion considering the daytime or nighttime visibility.

• Record URL:
  https://doi.org/10.1061/9780784482445.050
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784482445
• Supplemental Notes:
  • © 2019 American Society of Civil Engineers 2019
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Takumi, A
  • Shinichiro, K
  • Shuichi, K
• Conference:
  • ASCE International Conference on Computing in Civil Engineering 2019
  • Location: Atlanta Georgia, United States
  • Date: 2019-6-17 to 2019-6-19
• Publication Date: 2019

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 390-396
• Monograph Title: Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience

Subject/Index Terms

• TRT Terms: Cameras; Cost effectiveness; Costs; Diagnostic tests; Image analysis; Road markings; Snow removal; Visibility
• Geographic Terms: Japan
• Subject Areas: Data and Information Technology; Finance; Highways; Maintenance and Preservation; Vehicles and Equipment;

Filing Info

• Accession Number: 01708308
• Record Type: Publication
• ISBN: 9780784482445
• Files: TRIS, ASCE
• Created Date: Jun 25 2019 9:16AM