@inproceedings{5d64caf389db4994845e95df54a311f3,
title = "Simulation-Based Design of DDS Ownership QoS for Autonomous Driving Control Systems",
abstract = "In this study, we designed a control management mechanism for autonomous vehicles by utilizing the ownership Quality of Service (QoS) of Data Distribution Service (DDS) and implemented and experimentally verified it based on FastDDS. By setting priorities among the three control modes of manual control, Advanced Driver Assistance System (ADAS) control, and emergency control based on ownership strength, we prevented data conflicts and enabled fast and accurate control switching even in emergency situations. The experimental results show that the proposed system minimizes the control transition latency. Also, it effectively guarantees the message throughput and demonstrates its practical applicability in safety-centric systems such as autonomous driving. This research will provide future possibilities for extending ownership QoS in complex environments such as multi-vehicle cooperative driving and vehicle-infrastructure communication. It also aims to contribute to improving the reliability and efficiency of autonomous driving technologies.",
keywords = "Autonomous Driving, Data Distribution Service (DDS), Ownership, Quality of Service (QoS)",
author = "Cha, \{Sung Keun\} and Oh, \{Sung Bhin\} and Hong, \{Hyeong Keun\} and Jeon, \{Jae Wook\}",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 11th International Conference on Mechatronics and Robotics Engineering, ICMRE 2025 ; Conference date: 24-02-2025 Through 26-02-2025",
year = "2025",
doi = "10.1109/ICMRE64970.2025.10976282",
language = "English",
series = "2025 11th International Conference on Mechatronics and Robotics Engineering, ICMRE 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "303--306",
booktitle = "2025 11th International Conference on Mechatronics and Robotics Engineering, ICMRE 2025",
}