한국ITS학회 논문지 (The Journal of The Korea Institute of Intelligent Transport Systems)

  • 제15권4호
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  • Pages.104-114
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  • 2016
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  • 1738-0774(pISSN)
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  • 2384-1729(eISSN)
한국ITS학회 (The Korea Institute of Intelligent Transport Systems)
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포트홀 탐지 정확도 향상을 위한 Saliency Map 기반 포트홀 탐지 알고리즘

Pothole Detection Algorithm Based on Saliency Map for Improving Detection Performance

  • 조영태 (한국건설기술연구원 도로연구소) ;
  • 류승기 (한국건설기술연구원 도로연구소)
  • 투고 : 2016.05.27
  • 심사 : 2016.07.08
  • 발행 : 2016.08.31
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초록

포트홀은 차량파손과 교통사고 유발 등의 사회문제를 유발시키고 있다. 포트홀을 효율적으로 관리하기 위해서는 빠르게 포트홀을 찾아내는 기술이 가장 중요하다. 기존의 포트홀 탐지 기법은 민원에 의한 수동식 신고방식을 사용하고 있어, 포트홀로 인해 발생하는 문제를 사전에 예방하지 못하고 있다. 최근 포트홀을 저비용으로 빠르게 탐지하기 위하여 영상 카메라를 이용한 연구가 많이 진행되고 있다. 본 논문에서는 사전에 연구되었던 포트홀 탐지 알고리즘의 탐지정확도를 개선하기 위한 Saliency Map 기반의 알고리즘을 제안한다. 기존 알고리즘은 포트홀이 그림자와 겹쳐있거나 포트홀의 내부 모양이 주변 도로노면과 비슷한 형태를 가지는 등의 복잡한 환경에서 포트홀을 탐지하지 못하는 문제를 가지고 있다. 이러한 문제를 해결하기 위하여 제안하는 알고리즘은 Saliency Map 알고리즘을 이용하여 보다 정확한 포트홀 후보 영역을 찾는다. 제안 알고리즘은 포트홀 후보영역 추출부와 결정부로 구성되며, 실험을 통하여 기존 알고리즘보다 더 높은 탐지 정확도를 가짐을 보인다.

Potholes have caused diverse problems such as wheel damage and car accident. A pothole detection technology is the most important to provide efficient pothole maintenance. The previous pothole detections have been performed by manual reporting methods. Thus, the problems caused by potholes have not been solved previously. Recently, many pothole detection systems based on video cameras have been studied, which can be implemented at low costs. In this paper, we propose a new pothole detection algorithm based on saliency map information in order to improve our previously developed algorithm. Our previous algorithm shows wrong detection with complicated situations such as the potholes overlapping with shades and similar surface textures with normal road surfaces. To address the problems, the proposed algorithm extracts more accurate pothole regions using the saliency map information, which consists of candidate extraction and decision. The experimental results show that the proposed algorithm shows better performance than our previous algorithm.

키워드

참고문헌

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피인용 문헌

  1. Development of Rapid Setting Material Containing Phosphate for Emergency Repair of Potholes vol.19, pp.7, 2016, https://doi.org/10.9798/kosham.2019.19.7.47
  2. 도로 노면 파손 인식을 위한 Multi-scale 학습 방식의 암호화 형식 의미론적 분할 알고리즘 vol.19, pp.2, 2020, https://doi.org/10.12815/kits.2020.19.2.89
  3. Pothole Classification Model Using Edge Detection in Road Image vol.10, pp.19, 2020, https://doi.org/10.3390/app10196662