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Publications

  • T. D. Borba, O. Vaculín, H. Marzbani and R. N. Jazar, “Increasing Safety of Automated Driving by Infrastructure-Based Sensors”, in IEEE Access, vol. 11, pp. 94974-94991, 2023, doi: 10.1109/ACCESS.2023.3311136.
  • 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, doi: 10.1109/TIV.2023.3310674, 2023.
  • A. Hegde, R. Song, and A. Festag, “Radio Resource Allocation in 5G NR V2X: A Multi-agent Actor-critic Based Approach”, IEEE Access, vol. 11, pp. 87225-87244, 2023, doi: 10.1109/ACCESS.2023.3305267
  • 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, arXiv:2305.11654 [cs.LG]
  • 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, June 2023, pp. 1–10. doi: 10.1109/IJCNN54540.2023.10191879.
  • R. Song, A. Hegde, N. Senel, A. Festag: “Edge-Aided Sensor Data Sharing in Vehicular Communication Networks”, 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), Helsinki, Finland, 2022, pp. 1-7, doi: 10.1109/VTC2022-Spring54318.2022.9860849.
  • R. Song and A. Festag: „Analysis of Existing Approaches for Information Sharing in Cooperative Intelligent Transport Systems – V2X Messaging and SENSORIS“, FISITA World Congress, ISBN 978-1-9160259-2-9, September 2021.
  • A. Hegde, R. Stahl, S. Lobo, and A. Festag: „Modeling Cellular Network Infrastructure in SUMO“, SUMO User Conference, DOI: 10.52825/scp.v2i.97, September 2021.
  • M. Slavík and O. Vaculín: „Concept of Mission Control System for IN2Lab Testing Field for Automated Driving”, FISITA World Congress, September 2021, ISBN 978-1-9160259-2-9.
  • S. Agrawal and G. Elger: “Concept of Infrastructure Based Environment Perception for IN2Lab Test Field for Automated Driving”, IEEE International Smart Cities Conference (ISC2), September 2021, DOI: 10.1109/ISC253183.2021.9562894.