Publication result detail

Automatic lane marking extraction from point cloud into polygon map layer

PROCHÁZKA, D.; PROCHÁZKOVÁ, J.; LANDA, J.

Original Title

Automatic lane marking extraction from point cloud into polygon map layer

English Title

Automatic lane marking extraction from point cloud into polygon map layer

Type

WoS Article

Original Abstract

This paper concentrates on the road inventory process. The key part of road marking detection and reconstruction is based on spanning tree usage. The spanning trees are obtained from alpha shapes of the detected road markings.The final reconstruction is in vector form so it is suitable for geographical information systems.

English abstract

This paper concentrates on the road inventory process. The key part of road marking detection and reconstruction is based on spanning tree usage. The spanning trees are obtained from alpha shapes of the detected road markings.The final reconstruction is in vector form so it is suitable for geographical information systems.

Keywords

Lidar, mobil laser scanning, point cloud, road surface marking detection, shape reconstruction, road inventory

Key words in English

Lidar, mobil laser scanning, point cloud, road surface marking detection, shape reconstruction, road inventory

Authors

PROCHÁZKA, D.; PROCHÁZKOVÁ, J.; LANDA, J.

RIV year

2019

Released

25.01.2019

Publisher

Tayor and Francis

Location

UK

ISBN

2279-7254

Periodical

European Journal of Remote Sensing

Volume

2018

Number

1

State

United Kingdom of Great Britain and Northern Ireland

Pages from

1

Pages to

29

Pages count

29

URL

http://dx.doi.org/10.1080/22797254.2018.1535837

Full text in the Digital Library

http://hdl.handle.net/11012/137246

BibTex

@article{BUT151632,
  author="David {Procházka} and Jana {Procházková} and Jaromír {Landa}",
  title="Automatic lane marking extraction from point cloud into polygon map layer",
  journal="European Journal of Remote Sensing",
  year="2019",
  volume="2018",
  number="1",
  pages="1--29",
  doi="10.1080/22797254.2018.1535837",
  url="http://dx.doi.org/10.1080/22797254.2018.1535837"
}

Documents

finalAutomaticLane