드라이브 ㆍ 컨트롤 (Journal of Drive and Control)

  • 제20권1호
  • /
  • Pages.8-15
  • /
  • 2023
  • /
  • 2671-7972(pISSN)
  • /
  • 2671-7980(eISSN)
유공압건설기계학회 (The Korean Society for Fluid Power and Construction Equipment)
권호 표지
DOI QR코드

DOI QR Code

비전센서를 활용한 양날 도로절단기의 절단경로 인식 기술 개발

Development of Cutting Route Recognition Technology of a Double-Blade Road Cutter Using a Vision Sensor

  • 투고 : 2022.11.28
  • 심사 : 2023.02.08
  • 발행 : 2023.03.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

With the recent trend of intelligence and automation of construction work, a double-blade road cutter is being developed that automatically enables cutting along the cutting line marked on the road using a vision system. The road cutter can recognize the cutting line through the camera and correct the driving route in real-time, and it detects the load of the cutting blade in real-time to control the driving speed in case of overload to protect workers and cutting blades. In this study, a vision system mounted on a double-blade road cutter was developed. A cutting route recognition technology was developed to stably recognize cutting lines displayed on non-uniform road surfaces, and performance was verified in similar environments. In addition, a vision sensor protection module was developed to prevent foreign substances (dust, water, etc.) generated during cutting from being attached to the camera.

키워드

과제정보

본 연구는 국토교통기술사업화지원사업 지원에 의해 수행됨(과제번호 : RS-2021-KA161383)

참고문헌

  1. J. H. Won, J. T. Jeon, Y. K. Hong, C. J. Yang, K. C. Kim, K. D. Kwon and G. H. Kim, "Study on Traveling Characteristics of Straight Automatic Steering Devices for Drivable Agricultural Machinery," Journal of Drive and Control, Vol.19, No.4, pp.74-83, 2022. 
  2. M. G. Lee, K. Z. Cho, K. W. Lee, and M. G. Lee, "Cutting characteristics of road cutter." Proceedings of the 2008 Korean Society for Precision Engineering Conference, Korea, pp.469-470, 2008. 
  3. K. H. Kim, Y. H. Jun, K. T. Kim, "A Study on the Field Cutting Performance Analysis of Eco-friendly Road Cutter," Korea Institute of Construction Engineering and Management, Vol.21, No.4, pp.12-20, 2020. 
  4. M. Aly, "Real time detection of lane markers in urban streets," In: 2008 IEEE Intelligent Vehicles Symposium. IEEE. pp.7-12, 2008. 
  5. W. Teng, Y. Wang, B. Yu and J. Liu, "Icciu: A new real-time lane-level positioning algorithm," IEEE Access. Vol.8, pp.44957- 44966, 2020.  https://doi.org/10.1109/ACCESS.2020.2970503
  6. M. Bertozzi and A. Broggi, "Real-time lane and obstacle detection on the gold system," In: Proceedings of Conference on Intelligent Vehicles. IEEE. pp.213-218, 1996. 
  7. J. H. Lee and K. Yi, "A Method of Lane Marker Detection Robust to Environmental Variation Using Lane Tracking," Journal of Korea Multimedia Society Vol.21, No.12, pp. 1396-1406, 2018.  https://doi.org/10.9717/KMMS.2018.21.12.1396
  8. W. Wang, H. Lin and J. Wang, "CNN based lane detection with instance segmentation in edge-cloud computing, Journal of Cloud Computing 9, Vol.27, 2020. 
  9. S. W. Jeon, D. S. Kim and H. K. Jung, "YOLO-based lane detection system," Journal of the Korea Institute of Information and Communication Engineering, Vol.25, No.3, pp.464-470, 2021.  https://doi.org/10.6109/JKIICE.2021.25.3.464
  10. M. K. Seo, H. Y. Lee, D. W. Jang and B. H. Chang, "Development of a Monitoring Module for a Steel Bridge-repainting Robot Using a Vision Sensor," Journal of Drive and Control, Vol.19, No.1, pp.1-7, 2022.  https://doi.org/10.7839/KSFC.2022.19.1.001
  11. M. K. Seo, H. Y. Lee, I. H. Park and B. H. Chang, "Development of a Prototype Monitoring Module for Steel Bridge Repainting Robots," Journal of Drive and Control, Vol.17, No.4, pp.15-22, 2020.  https://doi.org/10.7839/KSFC.2020.17.4.015
  12. J. C. Kim, Y. J. Kim, M. G. Kim and H. M. Lee, "Collision Avoidance Sensor System for Mobile Crane", Journal of Drive and Control, Vol.19, No.4, pp.62-69, 2022. https://doi.org/10.7839/KSFC.2022.19.4.062