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Capturing Car-Following Behaviors by Deep Learning.

, , , , , and . IEEE Trans. Intell. Transp. Syst., 19 (3): 910-920 (2018)

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DVT-Tree: Dynamic Visible Topology Tree for Efficient Mapless Navigation in Maze Environments., , , , , and . ITSC, page 4717-4724. IEEE, (2023)SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning., , , , , , and . Neurocomputing, (2022)Improving Car-Following Control in Mixed Traffic: A Deep Reinforcement Learning Framework with Aggregated Human-Driven Vehicles., , , , , and . IV, page 627-632. IEEE, (2024)GenFollower: Enhancing Car-Following Prediction with Large Language Models., , , , , , and . CoRR, (2024)Semi-Supervised Acoustic Scene Classification with Test-Time Adaptation., , , , , , , , , and 3 other author(s). ICME Workshops, page 1-5. IEEE, (2024)LFENav: LLM-Based Frontiers Exploration for Visual Semantic Navigation., , and . AIAI (4), volume 714 of IFIP Advances in Information and Communication Technology, page 375-388. Springer, (2024)Incremental Conflict-Based Search for Multi-agent Path Finding in Dynamic Environment., , , and . AIAI (4), volume 714 of IFIP Advances in Information and Communication Technology, page 349-359. Springer, (2024)Continual Learning for Adaptable Car-Following in Dynamic Traffic Environments., , , , , , and . CoRR, (2024)EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems., , , , , , and . CoRR, (2024)Capturing Car-Following Behaviors by Deep Learning., , , , , and . IEEE Trans. Intell. Transp. Syst., 19 (3): 910-920 (2018)