Auf dieser Seite finden Sie wissenschaftliche Publikationen welche im Rahmen des Projektes 5GoIng veröffentlicht wurden.
A. Schlamp, J. Gerner, K. Bogenberger, and S. Schmidtner, "User-Centric Green Light Optimized Speed Advisory with Reinforcement Learning," 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, 2023.
R. Song, R. Xu, A. Festag, J. Ma, and A. Knoll, “FedBEVT: Federated learning bird’s eye view perception transformer in road traffic systems,” IEEE Transactions on Intelligent Vehicles, pp. 1–12, 2023.
A. Hegde, R. Song, and A. Festag, “Radio resource allocation in 5GNR V2X: A multi-agent actor-critic based approach,” IEEE Access, pp. 1–20, 2023.
R. Song, D. Liu, D. Z. Chen, A. Festag, C. Trinitis, M. Schulz, and A. Knoll, “Federated learning via decentralized dataset distillation in resource-constrained edge environments,” in 2023 IEEE International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, 2023, pp. 1–10.
R. Song, L. Lyu, W. Jiang, A. Festag, and A. Knoll, “V2X-boosted federated learning for cooperative intelligent transportation systems with contextual client selection,” in IEEE International Conference on Robotics and Automation (ICRA) Workshop on Collaborative Perception and Learning, London, United Kingdom, 2023.
R. Song, L. Zhou, V. Lakshminarasimhan, A. Festag, and A. Knoll, “Federated learning framework coping with hierarchical heterogeneity in cooperative ITS,” in 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Macau, China, 2022, pp. 3502–3508.
R. Song, A. Hegde, N. Senel, A. Knoll, and A. Festag, “Edge-aided sensor data sharing in vehicular communication networks,” in 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), Helsinki, Finland, 2022, pp. 1–7.
R. Song and A. Festag, “Analysis of existing approaches for information sharing in cooperative intelligent transport systems – V2X messaging and SENSORIS,” in 38th FISITA World Congress, Prague, Czech Republic, 2021.