Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | Krämer, Marc Steven | |
dc.contributor.author | Kuhnert, Lars | |
dc.contributor.author | Kuhnert, Klaus-Dieter | |
dc.contributor.editor | Skala, Václav | |
dc.date.accessioned | 2019-05-10T09:29:47Z | - |
dc.date.available | 2019-05-10T09:29:47Z | - |
dc.date.issued | 2018 | |
dc.identifier.citation | WSCG 2018: full papers proceedings: 26th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS Association, p. 78-87. | en |
dc.identifier.isbn | 978-80-86943-40-4 | |
dc.identifier.issn | 2464–4617 (print) | |
dc.identifier.issn | 2464–4625 (CD-ROM) | |
dc.identifier.uri | wscg.zcu.cz/WSCG2018/!!_CSRN-2801.pdf | |
dc.identifier.uri | http://hdl.handle.net/11025/34627 | |
dc.description.abstract | In this paper, we propose a fast and real-time capable system for visual off-road path detection. We equipped our robot AMOR with a single monocular camera and explored unstructured environments like woods. In these areas, it is almost harder to identify and classify drivable and non-drivable parts in an image. In urban regions, roads can be detected by lane markers or delimitations whereas the boundaries of a forest path blend into the environment almost seamlessly. In our work, we developed a software system that is based on mostly simple and low computationally intensive algorithms. We developed and tested the functions with a large dataset of camera images and also generated a manually Ground Truth for the evaluation. | en |
dc.format | 10 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Václav Skala - UNION Agency | cs |
dc.rights | © Václav Skala - UNION Agency | en |
dc.subject | detekce silnic | cs |
dc.subject | terénní autonomní navigace | cs |
dc.subject | segmentace obrazu | cs |
dc.subject | klasifikace terénu | cs |
dc.subject | mobilní roboty | cs |
dc.title | Real-time visual off-road path detection | en |
dc.type | konferenční příspěvek | cs |
dc.type | conferenceObject | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.subject.translated | road detection | en |
dc.subject.translated | off-road autonomous navigation | en |
dc.subject.translated | image segmentation | en |
dc.subject.translated | terrain classification | en |
dc.subject.translated | mobile robots | en |
dc.identifier.doi | https://doi.org/10.24132/CSRN.2018.2801.9 | |
dc.type.status | Peer-reviewed | en |
Vyskytuje se v kolekcích: | WSCG 2018: Full Papers Proceedings |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
---|---|---|---|---|
Kramer.pdf | Plný text | 12,17 MB | Adobe PDF | Zobrazit/otevřít |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/34627
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