Rui Song

Orcid: 0000-0001-7359-1081

Affiliations:
  • Technical University of Munich, TUM, Chair of Robotics, Artificial Intelligence and Real-time Systems, Garching, Germany
  • Fraunhofer Institute for Transportation and Infrastructure Systems IVI, Ingolstadt, Germany


According to our database1, Rui Song authored at least 21 papers between 2022 and 2025.

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Bibliography

2025
Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset.
CoRR, August, 2025

Generative AI for Autonomous Driving: Frontiers and Opportunities.
CoRR, May, 2025

Towards Vision Zero: The Accid3nD Dataset.
CoRR, March, 2025

CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving.
CoRR, March, 2025

Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors.
CoRR, February, 2025

2024
ResFed: Communication0Efficient Federated Learning With Deep Compressed Residuals.
IEEE Internet Things J., March, 2024

FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems.
IEEE Trans. Intell. Veh., January, 2024

First Mile: An Open Innovation Lab for Infrastructure-Assisted Cooperative Intelligent Transportation Systems.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Generative Dataset Distillation Based on Diffusion Model.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

TUMTraf V2X Cooperative Perception Dataset.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Residual encoding framework to compress DNN parameters for fast transfer.
Knowl. Based Syst., October, 2023

V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection.
CoRR, 2023

Radio Resource Allocation in 5G-NR V2X: A Multi-Agent Actor-Critic Based Approach.
IEEE Access, 2023

Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments.
Proceedings of the International Joint Conference on Neural Networks, 2023

V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals.
CoRR, 2022

Edge-Aided Sensor Data Sharing in Vehicular Communication Networks.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Concept of Smart Infrastructure for Connected Vehicle Assist and Traffic Flow Optimization.
Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems, 2022

Intelligent Roadside Infrastructure for Connected Mobility.
Proceedings of the Smart Cities, Green Technologies, and Intelligent Transport Systems, 2022

Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022


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