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PROCHÁZKA, D. LANDA, J. PROCHÁZKOVÁ, J.
Original Title
Automatic Lane Marking Extraction From Point Cloud Into Polygon Map Layer
Type
abstract
Language
English
Original Abstract
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.
Keywords
point cloud, spanning tree, slpha shapes, vector representation
Authors
PROCHÁZKA, D.; LANDA, J.; PROCHÁZKOVÁ, J.
Released
1. 8. 2017
Publisher
Ceské vyskové učení technické v Praze
Location
Praha
ISBN
978-80-01-06192-3
Book
37th EARSeL Symposium - Smart Future with Remote Sensing
Edition number
1
Pages from
52
Pages to
Pages count
BibTex
@misc{BUT138713, author="David {Procházka} and Jaromír {Landa} and Jana {Procházková}", title="Automatic Lane Marking Extraction From Point Cloud Into Polygon Map Layer", booktitle="37th EARSeL Symposium - Smart Future with Remote Sensing", year="2017", edition="1", pages="52--52", publisher="Ceské vyskové učení technické v Praze", address="Praha", isbn="978-80-01-06192-3", note="abstract" }