Real Time Embedded System Framework for Autonomous Drone Racing using Deep Learning Techniques

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 175
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorJung, Sunggooko
dc.contributor.authorLee, Hanseobko
dc.contributor.authorHwang, Sunyouko
dc.contributor.authorShim, David Hyunchulko
dc.date.accessioned2019-04-15T14:37:49Z-
dc.date.available2019-04-15T14:37:49Z-
dc.date.created2018-03-27-
dc.date.created2018-03-27-
dc.date.issued2018-01-10-
dc.identifier.citationAIAA Information Systems-AIAA Infotech@ Aerospace, 2018-
dc.identifier.urihttp://hdl.handle.net/10203/254234-
dc.languageEnglish-
dc.publisherAmerican Institute of Aeronautics and Astronautics-
dc.titleReal Time Embedded System Framework for Autonomous Drone Racing using Deep Learning Techniques-
dc.typeConference-
dc.identifier.scopusid2-s2.0-85141617453-
dc.type.rimsCONF-
dc.citation.publicationnameAIAA Information Systems-AIAA Infotech@ Aerospace, 2018-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationGaylord Palms, Kissimmee, Florida-
dc.contributor.localauthorShim, David Hyunchul-
dc.contributor.nonIdAuthorHwang, Sunyou-
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