Automatic Lane Marking Extraction From Point Cloud Into Polygon Map Layer

abstrakt

en

Optimization of road networks is a common concern worldwide, primarly for safety purposes. Because the extent of these networks is substantial, automation of their inventory is highly desirable. This paper concentrates on the road inventory process that is necessary for regular maintenance. The key part of our road marking detection and reconstruction is based on spanning tree usage. The spanning trees are obtained from alpha shapes of the detected road markings. Our method processes the point cloud data obtained from LiDAR measurements, and provides a common vector layer with road line polygons.

Optimization of road networks is a common concern worldwide, primarly for safety purposes. Because the extent of these networks is substantial, automation of their inventory is highly desirable. This paper concentrates on the road inventory process that is necessary for regular maintenance. The key part of our road marking detection and reconstruction is based on spanning tree usage. The spanning trees are obtained from alpha shapes of the detected road markings. Our method processes the point cloud data obtained from LiDAR measurements, and provides a common vector layer with road line polygons.

point cloud, spanning tree, slpha shapes, vector representation

01.08.2017

Ceské vyskové učení technické v Praze

Praha

978-80-01-06192-3

37th EARSeL Symposium - Smart Future with Remote Sensing

1

52–52

1