Autonomous vehicles lane detection using particle filters
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F22%3A00565355" target="_blank" >RIV/61388998:_____/22:00565355 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9983129" target="_blank" >https://ieeexplore.ieee.org/document/9983129</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ME54704.2022.9983129" target="_blank" >10.1109/ME54704.2022.9983129</a>
Alternative languages
Result language
angličtina
Original language name
Autonomous vehicles lane detection using particle filters
Original language description
Lane detection belongs among many others crucial tasks which an autonomous vehicles traveling in urban roads need to take care of. We present a lane detection method which uses particle filters combined with visual information from onboard camera to control the vehicles direction. Our initial experiments shows promising results as applied and tested in urban roads with focus on real-time data processing.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2022 20th International Conference on Mechatronics - Mechatronika, ME 2022
ISBN
978-166541040-3
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
185401
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
New York
Event location
Plzeň
Event date
Dec 7, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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