CPC- Efficient Data Format of 2D LIDAR Scanning Data for Developing Segmentation and Classification Algorithm

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 239
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorChung, Myung-Jin-
dc.contributor.authorCho, Ypoung Geun-
dc.contributor.authorChoe, Yun Geun-
dc.date.accessioned2017-01-13T08:10:55Z-
dc.date.available2017-01-13T08:10:55Z-
dc.date.created2014-11-25-
dc.date.issued2014-02-05-
dc.identifier.citationThe 20th Korea-Japan Joint Workshop on Frontiers of Computer Vision-
dc.identifier.urihttp://hdl.handle.net/10203/219215-
dc.languageEnglish-
dc.publisherAsian Federation of Computer Vision (AFCV)-
dc.titleCPC- Efficient Data Format of 2D LIDAR Scanning Data for Developing Segmentation and Classification Algorithm-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameThe 20th Korea-Japan Joint Workshop on Frontiers of Computer Vision-
dc.identifier.conferencecountryJA-
dc.identifier.conferencelocationOkinawa-
dc.contributor.localauthorChung, Myung-Jin-
dc.contributor.nonIdAuthorCho, Ypoung Geun-
dc.contributor.nonIdAuthorChoe, Yun Geun-
Appears in Collection
EE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0