Detail View

Object Detection Performance According to Packet Loss of C-V2X
Citations

WEB OF SCIENCE

Citations

SCOPUS

Metadata Downloads

DC Field Value Language
dc.contributor.author Choi, Eunmin -
dc.contributor.author Kwon, Dongyoon -
dc.contributor.author Kim, Kyungtae -
dc.contributor.author Choi, Ji-Woong -
dc.date.accessioned 2023-12-26T18:13:07Z -
dc.date.available 2023-12-26T18:13:07Z -
dc.date.created 2022-08-16 -
dc.date.issued 2022-07-06 -
dc.identifier.isbn 9781665485500 -
dc.identifier.issn 2165-8536 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46824 -
dc.description.abstract Studies on vehicle-to-everything (V2X) and edge computing to provide autonomous driving services mainly focus on low latency. However, in order to provide driving safety, it is also important to evaluate the performance considering the reliability of communication. In this paper, we evaluate the object detection performance according to the packet loss of V2X communication when transmitting video frames in consideration of the environment where camera sensor data is transmitted from the vehicle to the edge computer to recognize and judge. © 2022 IEEE. -
dc.language English -
dc.publisher 한국통신학회, IEEE Communications Society -
dc.relation.ispartof International Conference on Ubiquitous and Future Networks, ICUFN -
dc.title Object Detection Performance According to Packet Loss of C-V2X -
dc.type Conference Paper -
dc.identifier.doi 10.1109/ICUFN55119.2022.9829579 -
dc.identifier.wosid 000855059600046 -
dc.identifier.scopusid 2-s2.0-85135217948 -
dc.identifier.bibliographicCitation International Conference on Ubiquitous and Future Networks, ICUFN 2022, pp.228 - 232 -
dc.identifier.url http://2022.icufn.org/wp-content/uploads/2022/06/ICUFN-2022-Advance-Program-updated_V17.pdf -
dc.citation.conferenceDate 2022-07-05 -
dc.citation.conferencePlace SP -
dc.citation.conferencePlace Barcelona -
dc.citation.endPage 232 -
dc.citation.startPage 228 -
dc.citation.title International Conference on Ubiquitous and Future Networks, ICUFN 2022 -
Show Simple Item Record

File Downloads

  • There are no files associated with this item.

공유

qrcode
공유하기

Related Researcher

최지웅
Choi, Ji-Woong최지웅

Department of Electrical Engineering and Computer Science

read more

Total Views & Downloads