Earticle

초록

영어

Cracks in roads caused by cyclic loads, drying shrinkage, and changes in temperature can cause damage to the vehicle and traffic accidents if left for a long time. This problem is an essential element in the implementation of GeoAI based urban environment that reflects traffic information. In this paper, we study crack data using Mask R-CNN, which is a deep-running model that is useful for object detection and extraction, and verify crack detection in real aerial images taken by the drone.

목차

Abstract
I. 서론
II. 데이터셋 작업
2.1 전처리 과정
2.2 학습데이터 레이블링
III. 실험 및 고찰
3.1 학습 방법
3.2 학습모델 결과 분석
IV. 결론
References

저자

• 이민혜 [ Kunsan National University, Korea ]
• 윤형진 [ Kunsan National University, Korea ]
• 정유석 [ Kunsan National University, Korea ]
• 조정원 [ Kunsan National University, Korea ]
• 이혜성 [ Kunsan National University, Korea ]
• 이양원 [ Kunsan National University, Korea ]
• 이창우 [ Kunsan National University, Korea ]

참고문헌