Detection of pole-like objects from LIDAR data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F16%3A43909342" target="_blank" >RIV/62156489:43110/16:43909342 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1016/j.sbspro.2016.05.494" target="_blank" >http://dx.doi.org/10.1016/j.sbspro.2016.05.494</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.sbspro.2016.05.494" target="_blank" >10.1016/j.sbspro.2016.05.494</a>

Result language

angličtina

Original language name

Detection of pole-like objects from LIDAR data

Original language description

This paper presents novel approach for detection of pole-like objects from LIDAR data. The designed method uses directional vector to detect pole-like structures in unordered point clouds. A new segmentation algorithm is presented as well. The segmentation is designed to overcome a common problem found in LIDAR data of urban environments, where a lot of poles are connected together with various types of wires. The method is tested on real world point clouds captured during mobile mapping process.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Procedia - Social and Behavioral Sciences

ISBN

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ISSN

1877-0428

e-ISSN

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Number of pages

10

Pages from-to

226-235

Publisher name

Elsevier Science BV

Place of publication

Amsterdam

Event location

Brno

Event date

Mar 10, 2016

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

000386948700027