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CEMFormer: Learning to Predict Driver Intentions from in-Cabin and External Cameras via Spatial-Temporal Transformers.

, , , , , , and . ITSC, page 4960-4966. IEEE, (2023)

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Poster: Enabling High-Fidelity and Real-Time Mobility Digital Twin with Edge Computing., , , , and . SEC, page 281-283. IEEE, (2022)Lookup Table-Based Consensus Algorithm for Real-Time Longitudinal Motion Control of Connected and Automated Vehicles., , , , and . ACC, page 5298-5303. IEEE, (2019)Digital Twin Simulation of Connected and Automated Vehicles with the Unity Game Engine., , and . DTPI, page 1-4. IEEE, (2021)Driver Monitoring-Based Lane-Change Prediction: A Personalized Federated Learning Framework., , , , , and . IV, page 1-7. IEEE, (2023)Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving., , , , , and . WACV, page 7331-7340. IEEE, (2024)AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge., , , , and . SEC, page 14-26. IEEE, (2023)LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs., , , , , , , , , and 2 other author(s). CVPR, page 15141-15151. IEEE, (2024)DSORL: Data Source Optimization With Reinforcement Learning Scheme for Vehicular Named Data Networks., , , , , and . IEEE Trans. Intell. Transp. Syst., 24 (10): 11225-11237 (October 2023)GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise Control., , , , and . ITSC, page 2528-2535. IEEE, (2022)Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration., , , and . ITSC, page 1-8. IEEE, (2020)