논문 상세보기
pp.1-7
This study aims to validate the feasibility of using LiDAR reflectivity data to quantitatively estimate the retroreflectivity of road lane markings. The goal is to establish the optimal scanning conditions considering the channel position, angle of incidence, and vehicle speed for an accurate and consistent retroreflectivity assessment in mobile environments. Fifteen standard lane marking samples with known retroreflectivity values were scanned using an OS1-128 LiDAR sensor under controlled field conditions. A two-phase experiment was conducted: (1) a speed-based test to assess the influence of vehicle velocity (20-80 km/h) on LiDAR reflectivity measurements, and (2) a channel–angle–distance test using a static testbed to analyze the relationship between retroreflectivity, LiDAR channel position (that is, the angle of incidence), and measurement distance. Ground truth retroreflectivity values were obtained using a high-precision handheld retroreflectometer. Reflectivity measurements showed a strong correlation with standard retroreflectivity values, particularly at scanning angle between 100-115° and distances of 4.9-5.6 m. The coefficient of determination (R2) exceeded 0.97 across optimal conditions. Speedrelated tests confirmed that the LiDAR-based reflectivity remained stable with a minimal RMSE (< 5), even under high-speed driving scenarios. LiDAR sensors provided reliable and contactless estimates of pavement marking retroreflectivity when the channel angle and scanning distance were appropriately selected. The findings demonstrated that channel-specific calibration and incidence angle correction significantly improved the measurement accuracy. This suggests a practical path forward for automated large-scale retroreflectivity monitoring in road asset management systems.
1. 연구 배경 및 목적
2. 재귀반사도 및 라이다 측정 원리
2.1. 라이다 반사도와 재귀반사도 원리 비교
2.2. 멀티채널 라이다의 구조 및 채널별 입사각 특성
2.3. 표준 재귀반사도 측정기
3. 실험 방법
3.1. 사용 장비
3.2. 실험 조건 및 환경 구성
4. 라이다 채널별 재귀반사도 정량 비교
4.1. 분석 개요
4.2. 데이터 분석
5. 결론
한국도로학회 논문집 · 제27권 제5호 7계가 있으며, 다양한 도로 유형과 환경에서의 재현성 검증이 필요하다. 또한 라이다 개체차와 설치 위치 오차가 데이터에 영향을 줄 수 있으므로, 향후에는 표준화된 캘리브레이션 절차와 보정 알고리즘을 추가로 개발할 필요가 있다.이러한 보완이 이루어진다면, 본 연구 결과는 보다 일반화된 도로 안전 평가 체계로 확장될 수 있을 것이다.감사의 글
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