Publication detail

Automatic Lane Marking Extraction From Point Cloud Into Polygon Map Layer

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

52

Pages count

1

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"
}