Department of Electrical Engineering and Computer Science
CSP(Communication and Signal Processing) Lab
2. Conference Papers
Full metadata record
| 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 (The Korean Institute of Communications and Information Sciences, KICS) | - |
| 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.scopusid | 2-s2.0-85135217948 | - |
| dc.identifier.bibliographicCitation | 13th 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.conferencePlace | SP | - |
| dc.citation.conferencePlace | Barcelona | - |
| dc.citation.endPage | 232 | - |
| dc.citation.startPage | 228 | - |
| dc.citation.title | 13th International Conference on Ubiquitous and Future Networks (ICUFN 2022) | - |
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