Prof. Dr.-Ing. Andreas Festag

JAGTAP, Abhishek Dinkar, Sanath Tiptur SADASHIVAIAH und Andreas FESTAG, 2026. Hyper-V2X: Hypernetworks for Estimating Epistemic and Aleatoric Uncertainty in Cooperative Bird’s-Eye-View Semantic Segmentation [Preprint]. arXiv. Verfügbar unter: https://doi.org/10.48550/arXiv.2605.21309

MAKSIMOVSKI, Daniel, Andreas FESTAG und Christian FACCHI, 2026. Adaptive Message Generation Rules for V2X Maneuver Coordination Service. IEEE Access, 14, 6417-6437. ISSN 2169-3536. Verfügbar unter: https://doi.org/10.1109/ACCESS.2026.3652364

BIALDYGA, Maximilian, Andreas EICH, Christian FACCHI, Andreas FESTAG, Nicole HINTERBERGER, Abhishek Dinkar JAGTAP, Frank LEHMANN, Stefan SCHIESSER, Anna-Lena SCHLAMP, Stefanie SCHMIDTNER und Rui SONG, 2025. Abschlussbericht zum Projekt 5GoIng – 5G-Innovationskonzept Ingolstadt. Hannover: TIB. Verfügbar unter: https://doi.org/10.34657/22341

WAN, Lei, Jianxin ZHAO, Andreas WIEDHOLZ, Manuel BIED, Mateus MARTINEZ DE LUCENA, Abhishek Dinkar JAGTAP, Andreas FESTAG, Antônio FRÖHLICH, Hannan Ejaz KEEN und Alexey VINEL, 2025. A Systematic Literature Review on Vehicular Collaborative Perception—A Computer Vision Perspective. IEEE Transactions on Intelligent Transportation Systems, 27(1), 81-118. ISSN 1558-0016. Verfügbar unter: https://doi.org/10.1109/TITS.2025.3631141

JAGTAP, Abhishek Dinkar, Rui SONG, Sanath Tiptur SADASHIVAIAH und Andreas FESTAG, 2025. V2X-Gaussians: Gaussian Splatting for Multi-Agent Cooperative Dynamic Scene Reconstruction. 2025 IEEE Intelligent Vehicles Symposium (IV). Piscataway: IEEE, S. 1033-1039. ISBN 979-8-3315-3803-3. Verfügbar unter: https://doi.org/10.1109/IV64158.2025.11097436

LOBO, Silas, Andreas FESTAG und Christian FACCHI, 2025. Adaptive Message Prioritization: How to Prioritize VRU Awareness Messages in a Congested V2X Network. 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). Piscataway: IEEE, S. 423-430. ISBN 979-8-3315-0592-9. Verfügbar unter: https://doi.org/10.1109/ITSC58415.2024.10919704

WAN, Lei, Jianxin ZHAO, Andreas WIEDHOLZ, Manuel BIED, Mateus MARTINEZ DE LUCENA, Abhishek Dinkar JAGTAP, Andreas FESTAG, Antônio FRÖHLICH, Hannan Ejaz KEEN und Alexey VINEL, 2025. A Systematic Literature Review on Vehicular Collaborative Perception – A Computer Vision Perspective [Preprint]. arXiv. Verfügbar unter: https://doi.org/10.48550/arXiv.2504.04631

SONG, Rui, Chenwei LIANG, Yan XIA, Walter ZIMMER, Hu CAO, Holger CAESAR, Andreas FESTAG und Alois KNOLL, 2025. CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving [Preprint]. arXiv. Verfügbar unter: https://doi.org/10.48550/arXiv.2503.06744

DELOOZ, Quentin, Daniel MAKSIMOVSKI, Andreas FESTAG und Christian FACCHI, 2024. Design and Evaluation of V2X Communication Protocols for Cooperatively Interacting Automobiles. In: STILLER, Christoph, Matthias ALTHOFF, Christoph BURGER, Barbara DEML, Lutz ECKSTEIN und Frank FLEMISCH, Hrsg. Cooperatively Interacting Vehicles: Methods and Effects of Automated Cooperation in Traffic. Cham: Springer, S. 159-199. ISBN 978-3-031-60494-2. Verfügbar unter: https://doi.org/10.1007/978-3-031-60494-2_6

BAZZI, Alessandro, Miguel SEPULCRE, Quentin DELOOZ, Andreas FESTAG, Jonas VOGT, Horst WIEKER, Friedbert BERENS und Paul SPAANDERMAN, 2024. Multi-Channel Operation for the Release 2 of ETSI Cooperative Intelligent Transport Systems. IEEE Communications Standards Magazine, 8(1), 28-35. ISSN 2471-2833. Verfügbar unter: https://doi.org/10.1109/MCOMSTD.0001.2200080

SONG, Rui, Chenwei LIANG, Hu CAO, Zhiran YAN, Walter ZIMMER, Markus GROSS, Andreas FESTAG und Alois KNOLL, 2024. Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles [Preprint]. arXiv. Verfügbar unter: https://doi.org/10.48550/arXiv.2402.07635

BAUDER, Maximilian, Andreas FESTAG, Tibor KUBJATKO und Hans-Georg SCHWEIGER, 2024. Data accuracy in Vehicle-to-X cooperative awareness messages: An experimental study for the first commercial deployment of C-ITS in Europe. Vehicular Communications, 2024(47), 100744. ISSN 2214-2096. Verfügbar unter: https://doi.org/10.1016/j.vehcom.2024.100744

MAKSIMOVSKI, Daniel, Christian FACCHI und Andreas FESTAG, 2024. A Framework of Use Cases, Scenarios, and Metrics for Evaluation of V2X Maneuver Coordination. 2024 IEEE Vehicular Networking Conference (VNC). Piscataway: IEEE, S. 1-8. ISBN 979-8-3503-6270-1. Verfügbar unter: https://doi.org/10.1109/VNC61989.2024.10575992

SONG, Rui, Andreas FESTAG, Abhishek Dinkar JAGTAP, Maximilian BIALDYGA, Zhiran YAN, Maximilian OTTE, Sanath Tiptur SADASHIVAIAH und Alois KNOLL, 2024. First Mile: An Open Innovation Lab for Infrastructure-Assisted Cooperative Intelligent Transportation Systems. 2024 IEEE Intelligent Vehicles Symposium (IV). Piscataway: IEEE, S. 1635-1642. ISBN 979-8-3503-4881-1. Verfügbar unter: https://doi.org/10.1109/IV55156.2024.10588500

MAKSIMOVSKI, Daniel, Christian FACCHI und Andreas FESTAG, 2024. Packet Rate Control for Maneuver Coordination in Congested V2X Communication Environments. 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), Proceedings. Piscataway: IEEE. ISBN 979-8-3315-1778-6. Verfügbar unter: https://doi.org/10.1109/VTC2024-Fall63153.2024.10758036

HEGDE, Anupama, Rui SONG und Andreas FESTAG, 2023. Radio Resource Allocation in 5G-NR V2X: A Multi-Agent Actor-Critic Based Approach. IEEE Access, 11, 87225-87244. ISSN 2169-3536. Verfügbar unter: https://doi.org/10.1109/ACCESS.2023.3305267

SONG, Rui, Liguo ZHOU, Lingjuan LYU, Andreas FESTAG und Alois KNOLL, 2023. ResFed: Communication-Efficient Federated Learning With Deep Compressed Residuals. IEEE Internet of Things Journal, 11(6), 9458-9472. ISSN 2327-4662. Verfügbar unter: https://doi.org/10.1109/JIOT.2023.3324079

SONG, Rui, Runsheng XU, Andreas FESTAG, Jiaqi MA und Alois KNOLL, 2023. FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems. IEEE Transactions on Intelligent Vehicles, 9(1), 958-969. ISSN 2379-8904. Verfügbar unter: https://doi.org/10.1109/TIV.2023.3310674

LOBO, Silas, Andreas FESTAG und Christian FACCHI, 2023. Enhancing the Safety of Vulnerable Road Users: Messaging Protocols for V2X Communication. 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) Proceedings. Piscataway: IEEE. ISBN 978-1-6654-5468-1. Verfügbar unter: https://doi.org/10.1109/VTC2022-Fall57202.2022.10012775

SONG, Rui, Lingjuan LYU, Wei JIANG, Andreas FESTAG und Alois KNOLL, 2023. V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection. CoPerception: Collaborative Perception and Learning, ICRA 2023 workshop. Verfügbar unter: https://drive.google.com/file/d/1-OQAeNryd7-lksCTuWnhhyydpFSnw5On/view?usp=share_link

ZHOU, Liguo, Rui SONG, Guang CHEN, Andreas FESTAG und Alois KNOLL, 2023. Residual encoding framework to compress DNN parameters for fast transfer. Knowledge-Based Systems, 2023(277), 110815. ISSN 1872-7409. Verfügbar unter: https://doi.org/10.1016/j.knosys.2023.110815

DELOOZ, Quentin, Andreas FESTAG, Alexey VINEL und Silas LOBO, 2023. Simulation-Based Performance Optimization of V2X Collective Perception by Adaptive Object Filtering. 2023 IEEE Intelligent Vehicles Symposium (IV): Proceedings. Piscataway: IEEE. ISBN 979-8-3503-4691-6. Verfügbar unter: https://doi.org/10.1109/IV55152.2023.10186788

SONG, Rui, Dai LIU, Dave Zhenyu CHEN, Andreas FESTAG, Carsten TRINITIS, Martin SCHULZ und Alois KNOLL, 2023. Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments. IJCNN 2023 Conference Proceedings. Piscataway: IEEE. ISBN 978-1-6654-8867-9. Verfügbar unter: https://doi.org/10.1109/IJCNN54540.2023.10191879

GOECKENJAN, Maren, Andreas FESTAG und Jakob Nikolas KATHER, 2023. Entscheidungsfindungen in der Reproduktionsmedizin: von der menschlichen zur künstlichen Intelligenz. Gynäkologische Endokrinologie, 21(1), 72-77. ISSN 1610-2908. Verfügbar unter: https://doi.org/10.1007/s10304-022-00489-9

HEGDE, Anupama, Quentin DELOOZ, Chethan L. MARIYAKLLA, Andreas FESTAG und Florian KLINGLER, 2023. Radio Resource Allocation for Collective Perception in 5G-NR Vehicle-to-X Communication Systems. 2023 IEEE Wireless Communications and Networking Conference (WCNC): Proceedings. Piscataway: IEEE. ISBN 978-1-6654-9122-8. Verfügbar unter: https://doi.org/10.1109/WCNC55385.2023.10118606

DELOOZ, Quentin, Alexey VINEL und Andreas FESTAG, 2023. Optimizing the channel resource usage for sensor data sharing with V2X communications. at - Automatisierungstechnik, 71(4), 311-317. ISSN 2196-677X. Verfügbar unter: https://doi.org/10.1515/auto-2022-0162

LOBO, Silas, Andreas FESTAG und Christian FACCHI, 2023. Enhancing the Safety of Vulnerable Road Users: Messaging Protocols for V2X Communication. 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) Proceedings. Piscataway: IEEE. ISBN 978-1-6654-5468-1. Verfügbar unter: https://doi.org/10.1109/VTC2022-Fall57202.2022.10012775

SONG, Rui, Liguo ZHOU, Venkatnarayanan LAKSHMINARASIMHAN, Andreas FESTAG und Alois KNOLL, 2022. Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). Piscataway: IEEE, S. 3502-3508. ISBN 978-1-6654-6880-0.

HEGDE, Anupama, Silas LOBO und Andreas FESTAG, 2022. Cellular-V2X for Vulnerable Road User Protection in Cooperative ITS. 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). Piscataway: IEEE, S. 118-123. ISBN 978-1-6654-6975-3. Verfügbar unter: https://doi.org/10.1109/WiMob55322.2022.9941707

DELOOZ, Quentin, Alexander WILLECKE, Keno GARLICHS, Andreas-Christian HAGAU, Lars WOLF, Alexey VINEL und Andreas FESTAG, 2022. Analysis and Evaluation of Information Redundancy Mitigation for V2X Collective Perception. IEEE Access, 10, 47076-47093. ISSN 2169-3536. Verfügbar unter: https://doi.org/10.1109/ACCESS.2022.3170029

SONG, Rui, Anupama HEGDE, Numan SENEL, Alois KNOLL und Andreas FESTAG, 2022. Edge-Aided Sensor Data Sharing in Vehicular Communication Networks. 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring) Proceedings. Piscataway (NJ): IEEE. ISBN 978-1-6654-8243-1. Verfügbar unter: https://doi.org/10.1109/VTC2022-Spring54318.2022.9860849

HEGDE, Anupama, Ringo STAHL, Silas LOBO und Andreas FESTAG, 2022. Modeling Cellular Network Infrastructure in SUMO. In: ALVAREZ LOPEZ, Pablo, Olaf Angelo BANSE BUENO, Maria Giuliana ARMELLINI, Michael BEHRISCH, Laura BIEKER-WALZ, Jakob ERDMANN, Yun-Pang FLÖTTERÖD, Robert HILBRICH, Ronald NIPPOLD, Johannes RUMMEL, Matthias SCHWAMBORN, Peter WAGNER und Melanie WEBER, Hrsg. SUMO User Conference 2021. Hannover: TIB Open Publishing, S. 99-113. Verfügbar unter: https://doi.org/10.52825/scp.v2i.97

MAKSIMOVSKI, Daniel, Christian FACCHI und Andreas FESTAG, 2022. Cooperative Driving: Research on Generic Decentralized Maneuver Coordination for Connected and Automated Vehicles. In: KLEIN, Cornel, Matthias JARKE, Markus HELFERT, Karsten BERNS und Oleg GUSIKHIN, Hrsg. Smart Cities, Green Technologies, and Intelligent Transport Systems: 10th International Conference, SMARTGREENS 2021, and 7th International Conference, VEHITS 2021, Virtual Event, April 28-30, 2021, Revised Selected Papers. Cham: Springer, S. 348-370. ISBN 978-3-031-17097-3. Verfügbar unter: https://doi.org/10.1007/978-3-031-17098-0_18

SONG, Rui, Liguo ZHOU, Lingjuan LYU, Andreas FESTAG und Alois KNOLL, 2022. ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals [Preprint]. arXiv. Verfügbar unter: https://doi.org/10.48550/arXiv.2212.05602

SONG, Rui, Dai LIU, Dave Zhenyu CHEN, Andreas FESTAG, Carsten TRINITIS, Martin SCHULZ und Alois KNOLL, 2022. Federated Learning via Decentralized Dataset Distillation in Resource Constrained Edge Environments [Preprint]. arXiv. Verfügbar unter: https://doi.org/10.48550/arXiv.2208.11311

MAKSIMOVSKI, Daniel, Christian FACCHI und Andreas FESTAG, 2021. Priority Maneuver (PriMa) Coordination for Connected and Automated Vehicles. 2021 IEEE International Intelligent Transportation Systems Conference (ITSC). Piscataway: IEEE, S. 1083-1089. ISBN 978-1-7281-9142-3. Verfügbar unter: https://doi.org/10.1109/ITSC48978.2021.9564923

DELOOZ, Quentin, Andreas FESTAG und Alexey VINEL, 2021. Congestion Aware Objects Filtering for Collective Perception. Electronic Communications of the EASST, 80. ISSN 1863-2122. Verfügbar unter: http://dx.doi.org/10.14279/tuj.eceasst.80.1160

VOLK, Georg, Quentin DELOOZ, Florian SCHIEGG, Alexander von BERNUTH, Andreas FESTAG und Oliver BRINGMANN, 2021. Towards Realistic Evaluation of Collective Perception for Connected and Automated Driving. 2021 IEEE International Intelligent Transportation Systems Conference (ITSC). Piscataway: IEEE, S. 1049-1056. ISBN 978-1-7281-9142-3. Verfügbar unter: https://doi.org/10.1109/ITSC48978.2021.9564783

MAKSIMOVSKI, Daniel, Andreas FESTAG und Christian FACCHI, 2021. A Survey on Decentralized Cooperative Maneuver Coordination for Connected and Automated Vehicles. Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems. Setúbal: SciTePress, S. 100-111. ISBN 978-989-758-513-5. Verfügbar unter: https://doi.org/10.5220/0010442501000111

HEGDE, Anupama und Andreas FESTAG, 2021. Mode Switching Performance in Cellular-V2X. 2020 IEEE Vehicular Networking Conference (VNC). Piscataway: IEEE. ISBN 978-1-7281-9221-5. Verfügbar unter: https://doi.org/10.1109/VNC51378.2020.9318394

DELOOZ, Quentin, Raphael RIEBL, Andreas FESTAG und Alexey VINEL, 2021. Design and Performance of Congestion-Aware Collective Perception. 2020 IEEE Vehicular Networking Conference (VNC). Piscataway: IEEE. ISBN 978-1-7281-9221-5. Verfügbar unter: https://doi.org/10.1109/VNC51378.2020.9318335

FESTAG, Andreas und Rui SONG, 2021. Analysis of Existing Approaches for Information Sharing in Cooperative Intelligent Transport Systems: SENSORIS and V2X Messaging. FISITA World Congress 2021. Bishops Stortford: FISITA. Verfügbar unter: https://www.fisita.com/library/f2020-acm-012

FESTAG, Andreas, Shrivatsa UDUPA, Lourdes GARCIA, Ralf WELLENS, Matthias HECHT und Pierre ULFIG, 2021. End-to-End Performance Measurements of Drone Communications in 5G Cellular Networks. 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall): Proceedings. Piscataway: IEEE. ISBN 978-1-6654-1368-8. Verfügbar unter: https://doi.org/10.1109/VTC2021-Fall52928.2021.9625429

DELOOZ, Quentin und Andreas FESTAG, 2020. Network Load Adaptation for Collective Perception in V2X Communication. 2019 IEEE ICCVE, The 8th IEEE International Conference on Connected Vehicles and Expo (ICCVE), November 4-8, 2019, 2019 Conference Proceedings. Piscataway: IEEE. ISBN 978-1-7281-0142-2. Verfügbar unter: https://doi.org/10.1109/ICCVE45908.2019.8964988

DELOOZ, Quentin, Andreas FESTAG und Alexey VINEL, 2020. Revisiting Message Generation Strategies for Collective Perception in Connected and Automated Driving. VEHICULAR 2020: The Ninth International Conference on Advances in Vehicular Systems, Technologies and Applications. [s. l.]: IARIA, S. 46-52. ISBN 978-1-61208-795-5. Verfügbar unter: https://www.thinkmind.org/index.php?view=article&articleid=vehicular_2020_1_80_30039

HEGDE, Anupama und Andreas FESTAG, 2020. Artery-C: An OMNeT++ Based Discrete Event Simulation Framework for Cellular V2X. MSWiM '20: Proceedings of the 23rd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems. New York: ACM, S. 47-51. ISBN 978-1-4503-8117-8. Verfügbar unter: https://doi.org/10.1145/3416010.3423240

SENEL, Numan, Gordon ELGER und Andreas FESTAG, 2020. Sensor Time Synchronization in Smart Road Infrastructure. FISITA Web Congress 2020. Bishops Stortford: FISITA. Verfügbar unter: https://www.fisita.com/library/f2020-acm-083

HEGDE, Anupama und Andreas FESTAG, 2020. Artery-C: An OMNeT++ Based Discrete Event Simulation Framework for Cellular V2X [Preprint]. arXiv. Verfügbar unter: https://doi.org/10.48550/arXiv.2009.05724

HUNG, Shao-Chou, Xin ZHANG, Andreas FESTAG, Kwang-Cheng CHEN und Gerhard FETTWEIS, 2019. Vehicle-Centric Network Association in Heterogeneous Vehicle-to-Vehicle Networks. IEEE Transactions on Vehicular Technology, 68(6), 5981-5996. ISSN 1939-9359. Verfügbar unter: https://doi.org/10.1109/TVT.2019.2910324

HEGDE, Anupama und Andreas FESTAG, 2019. Mode Switching Strategies in Cellular-V2X. IFAC-PapersOnLine, 52(8), 81-86. ISSN 2405-8963. Verfügbar unter: https://doi.org/10.1016/j.ifacol.2019.08.052

KÜHLMORGEN, Sebastian, Hongsheng LU, Andreas FESTAG, John KENNEY, Sebastian GEMSHEIM und Gerhard FETTWEIS, 2019. Evaluation of Congestion-Enabled Forwarding With Mixed Data Traffic in Vehicular Communications. IEEE Transactions on Intelligent Transportation Systems, 21(1), 233-247. ISSN 1558-0016. Verfügbar unter: https://doi.org/10.1109/TITS.2018.2890619

FRITZSCHE, Richard und Andreas FESTAG, 2018. Reliability Maximization with Location-Based Scheduling for Cellular-V2X Communications in Highway Scenarios. 2018 16th International Conference on Intelligent Transportation Systems Telecommunications (ITST) Proceedings. Piscataway: IEEE. ISBN 978-1-5386-5544-3. Verfügbar unter: https://doi.org/10.1109/ITST.2018.8566935

KÜHLMORGEN, Sebastian, Patrick SCHMAGER, Andreas FESTAG und Gerhard FETTWEIS, 2018. Simulation-Based Evaluation of ETSI ITS-G5 and Cellular-VCS in a Real-World Road Traffic Scenario. 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall) Proceedings. Piscataway: IEEE. ISBN 978-1-5386-6358-5. Verfügbar unter: https://doi.org/10.1109/VTCFall.2018.8691011

FRITZSCHE, Richard und Andreas FESTAG, 2018. Location-Based Scheduling for Cellular V2V Systems in Highway Scenarios. 2018 IEEE 87th Vehicular Technology Conference (VTC Spring) Proceedings. Piscataway: IEEE. ISBN 978-1-5386-6355-4. Verfügbar unter: https://doi.org/10.1109/VTCSpring.2018.8417744

RÖGLINGER, Sebastian und Christian FACCHI, 2011. Behavior Specification of a Red-Light Violation Warning Application - An Approach for Specifying Reactive Vehicle-2-X Communication Applications. In: STRANG, Thomas, Andreas FESTAG, Alexey VINEL, Rashid MEHMOOD, Cristina RICO GARCÍA und Matthias RÖCKL, Hrsg. Communication Technologies for Vehicles: Third International Workshop, Nets4Cars/Nets4Trains 2011, Oberpfaffenhofen, Germany, March 23-24, 2011. Proceedings. Berlin: Springer, S. 106-118. ISBN 978-3-642-19785-7. Verfügbar unter: https://doi.org/10.1007/978-3-642-19786-4_10