Road Detection Using Data From Mobile Robot Camera
but.event.date | 26.04.2018 | cs |
but.event.title | Student EEICT 2018 | cs |
dc.contributor.author | Peška, Jaroslav | |
dc.date.accessioned | 2019-03-04T10:05:35Z | |
dc.date.available | 2019-03-04T10:05:35Z | |
dc.date.issued | 2018 | cs |
dc.description.abstract | The paper is focused on developing a road detection algorithm that uses only data from a mobile robot’s camera. Key requirements are low latency and relatively low power requirements. Presented algorithm makes use of machine learning, where the neural network is fed not only image data, but also select additional inputs. | en |
dc.format | text | cs |
dc.format.extent | 44-46 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Proceedings of the 24th Conference STUDENT EEICT 2018. s. 44-46. ISBN 978-80-214-5614-3 | cs |
dc.identifier.isbn | 978-80-214-5614-3 | |
dc.identifier.uri | http://hdl.handle.net/11012/138163 | |
dc.language.iso | sk | cs |
dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.relation.ispartof | Proceedings of the 24th Conference STUDENT EEICT 2018 | en |
dc.relation.uri | http://www.feec.vutbr.cz/EEICT/ | cs |
dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.rights.access | openAccess | en |
dc.subject | road detection | en |
dc.subject | image processing | en |
dc.subject | neural network | en |
dc.subject | machine learning | en |
dc.subject | obstacle avoidance | en |
dc.title | Road Detection Using Data From Mobile Robot Camera | en |
dc.type.driver | conferenceObject | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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