Automatic lane marking extraction from point cloud into polygon map layer
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F18%3APU130002" target="_blank" >RIV/00216305:26210/18:PU130002 - isvavai.cz</a>
Alternative codes found
RIV/62156489:43110/19:43914326
Result on the web
<a href="http://dx.doi.org/10.1080/22797254.2018.1535837" target="_blank" >http://dx.doi.org/10.1080/22797254.2018.1535837</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/22797254.2018.1535837" target="_blank" >10.1080/22797254.2018.1535837</a>
Alternative languages
Result language
angličtina
Original language name
Automatic lane marking extraction from point cloud into polygon map layer
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Europen Journal of Remote Sensing
ISSN
2279-7254
e-ISSN
—
Volume of the periodical
2018
Issue of the periodical within the volume
1
Country of publishing house
IT - ITALY
Number of pages
29
Pages from-to
1-29
UT code for WoS article
000475928900004
EID of the result in the Scopus database
2-s2.0-85055685908