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.
| Original language | English |
|---|---|
| Title of host publication | ICUFN 2022 - 13th International Conference on Ubiquitous and Future Networks |
| Publisher | IEEE Computer Society |
| Pages | 228-232 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781665485500 |
| DOIs | |
| State | Published - 2022 |
| Event | 13th International Conference on Ubiquitous and Future Networks, ICUFN 2022 - Virtual, Barcelona, Spain Duration: 5 Jul 2022 → 8 Jul 2022 |
Publication series
| Name | International Conference on Ubiquitous and Future Networks, ICUFN |
|---|---|
| Volume | 2022-July |
| ISSN (Print) | 2165-8528 |
| ISSN (Electronic) | 2165-8536 |
Conference
| Conference | 13th International Conference on Ubiquitous and Future Networks, ICUFN 2022 |
|---|---|
| Country/Territory | Spain |
| City | Virtual, Barcelona |
| Period | 5/07/22 → 8/07/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- Vehicle-to-everything
- deep learning
- detection performance
- object detection
- packet error rate
- video data transmission