Implementation of UAV LiDAR for Surveying Pavement Conditions Covered by Different Vegetation Densities Hana Fitri Khairani (a), Yackob Astor (a*), Nabyl Rizky Dwiyuda (a), Aditia Febriansya (a), Linda Aisyah (a), Risma Nur Indah (a), Atmy Verani Rouly Sihombing (a), Master Jimmy Dekha Syaputra (b)
a) Department of Civil Engineering, Politeknik Negeri Bandung, Bandung 40559, Indonesia
*yackobastor[at]polban.ac.id
b) PT. Oseanland Survei Indonesia, South Tangerang 15220, Indonesia
Abstract
Indonesia is a tropical country with high rainfall, resulting in the easy growth of vegetation, including along road edges. This condition poses a major challenge during road condition surveys using UAVs. Previous research has shown that several types of road damage along the road edges are covered by vegetation, making it difficult to identify and measure the dimensions of the damage. To overcome this challenge, road condition data was collected using a UAV equipped with Light Detection and Ranging (LiDAR) technology. The research object was a 200 meter road segment classified into two types based on vegetation density: sparse (0-35%) and dense (>70%). The research results indicate that UAV LiDAR can only be used to map roads with sparse vegetation (22.89%) and cannot yet be used for road condition surveys. Therefore, a survey was conducted using another laser scanner, the SLAM Scanner, which operates more flexibly, is portable, and can be used under vegetation. The road condition survey results using the SLAM Scanner were 94.61% similar to the manual survey results, compared to 86.52% for the UAV LiDAR survey. Thus, the SLAM Scanner has significant potential as a tool for surveying road conditions.
Keywords: UAV LiDAR, SLAM Scanner, Vegetation Density, Road Condition Survey
