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dc.contributor.authorNeigel, Peter
dc.contributor.authorAmeli, Mina
dc.contributor.authorKatrolia, Jigyasa
dc.contributor.authorFeld, Hartmut
dc.contributor.authorWasenmüller, Oliver
dc.contributor.authorStricker, Didier
dc.contributor.editorSkala, Václav
dc.date.accessioned2020-07-24T08:38:26Z
dc.date.available2020-07-24T08:38:26Z
dc.date.issued2020
dc.identifier.citationJournal of WSCG. 2020, vol. 28, no. 1-2, p. 197-202.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2020/2020-J_WSCG-1-2.pdf
dc.identifier.urihttp://hdl.handle.net/11025/38442
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectdetekce chodcůcs
dc.subjectsegmentace instancecs
dc.subjectmimoměstské prostředícs
dc.subjectteréncs
dc.subjectADAScs
dc.subjectužitková vozidlacs
dc.titleOPEDD: Off-Road Pedestrian Detection Dataseten
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe detection of pedestrians plays an essential part in the development of automated driver assistance systems. Many of the currently available datasets for pedestrian detection focus on urban environments. State-of-the-art neural networks trained on these datasets struggle in generalizing their predictions from one environment to a visually dissimilar one, limiting the use case to urban scenes. Commercial working machines like tractors or excavators make up a substantial share of the total number of motorized vehicles and are often situated in fundamentally different surroundings, e.g. forests, meadows, construction sites or farmland. In this paper, we present a dataset for pedestrian detection which consists of 1018 stereo-images showing varying numbers of persons in differing non-urban environments and comes with manually annotated pixel-level segmentation masks and bounding boxes.en
dc.subject.translatedpedestrian detectionen
dc.subject.translatedinstance segmentationen
dc.subject.translatednon-urban environmenten
dc.subject.translatedoff-roaden
dc.subject.translatedADASen
dc.subject.translatedcommercial vehiclesen
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2020.28.24
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 28, Number 1-2 (2020)

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Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam: http://hdl.handle.net/11025/38442

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  1. DSpace at University of West Bohemia
  2. Publikace ZČU / UWB Publications
  3. Časopisy ZČU / UWB Journals
  4. Journal of WSCG
  5. Volume 28 (2020)
  6. Volume 28, Number 1-2 (2020)