|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|151397||2018||12 صفحه PDF||سفارش دهید||6725 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : The Egyptian Journal of Remote Sensing and Space Science, Available online 19 January 2018
A proper planning and management of roads play an essential role in socio-economic growth of any nation. The information of road and its geometry are used as a benchmark by transportation authorities and other related agencies for evaluating, monitoring and prioritizing new and existing road projects. Over the last few decades, application of three-dimensional (3D) Light Detection and Ranging (LiDAR) data for the study of road features has been widely adopted. In the present study, a new pipeline has been proposed for the detection of road surface and corresponding center line and boundary lines using terrestrial Lidar data. The pipeline includes two basic phases. In first phase, there are four basic steps i.e. conversion of Lidar data into intensity image, detection of candidate road pixels, reconstruction of Lidar data points and connected component analysis. The steps of first phase are performed in order to detect the road surface, whereas in the second phase center line and boundary lines are detected by forming vertical grids at detected road surface. The proposed pipeline has been tested at a terrestrial Lidar data, captured from the Allahabad city, India, with the help of FARO Focus3D X 330 Terrestrial Laser Scanner (TLS). The road surface and corresponding center line and boundary lines of captured data are successfully detected. The completeness and correctness of detected road surface are 93.91% and 96.94% respectively, detecting a precise and detailed street floor that helps in maintaining the pavement by estimating the road surface conditions.