Název:
Utilization of Convolution Neural Network Based Road Detection in Mobile Robot Localization
Autoři:
Krejsa, Jiří ; Věchet, Stanislav Typ dokumentu: Příspěvky z konference Konference/Akce: Engineering mechanics 2019 /25./, Svratka (CZ), 20190513
Rok:
2019
Jazyk:
eng
Abstrakt: Mobile robot on-road navigation requires fusion of both global and local sensory information with an emphasis on the road detection processing. The paper deals with the road detection based on convolution neural networks (CNN) using commonly available tools such as TensorFlow and Keras. The road is defined by its linear boundaries. Network output is formed by the road definition together with classification parameters and serves as a local sensor in Kalman filter based localization. CNN based road detection is currently capable to successfully detect about 90% of images.
Klíčová slova:
convolution neural network; localization; road detection Zdrojový dokument: Engineering mechanics 2019. Book of full texts, ISBN 978-80-87012-71-0, ISSN 1805-8248
Instituce: Ústav termomechaniky AV ČR
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Informace o dostupnosti dokumentu:
Dokument je dostupný v příslušném ústavu Akademie věd ČR. Původní záznam: http://hdl.handle.net/11104/0304917