Poster: UAV-Assisted Cooperative Perception in Vehicular Network

This paper proposes a UAV-assisted cooperative perception framework for vehicular networks, ensuring the timely transmission of image feature extraction results from vehicles to the RSU, thereby enabling cooperative perception such as HD map construction and object-level tracking in smart cities. We...

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Bibliographic Details
Published inProceedings - International Conference on Network Protocols pp. 1 - 3
Main Authors Kim, Chang Kyung, Jeong, Junho, Lee, SuKyoung
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.09.2025
Subjects
Autonomous aerial vehicles
Benchmark testing
Cooperative Perception
Feature extraction
Internet of Vehicle
Internet of Vehicles
Protocols
Simulation
Smart cities
Success Probability
Trajectory optimization
Unmanned Aerial Vehicle
Online AccessGet full text
ISSN2643-3303
DOI10.1109/ICNP65844.2025.11192395

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Summary:This paper proposes a UAV-assisted cooperative perception framework for vehicular networks, ensuring the timely transmission of image feature extraction results from vehicles to the RSU, thereby enabling cooperative perception such as HD map construction and object-level tracking in smart cities. We analyze the success probability that vehicles can complete image feature extraction and transmit the result before leaving the RSU's communication range with the assistance of UAVs. The simulation results demonstrate that the proposed algorithm outperforms benchmark schemes in terms of success probability.
ISSN:2643-3303
DOI:10.1109/ICNP65844.2025.11192395