Author

Jing Yang

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Jul 2026

Large Language Model Enhanced Differentiable Trajectory Planning for IoT-Enabled Autonomous Driving

A large language model (LLM) enhanced differentiable trajectory planning framework for IoT-enabled autonomous driving is proposed and a surrounding agent centric data augmentation strategy is introduced to reorganize sur rounding agent trajectories as additional planning supervision, thereby improving the training distribution without collecting additional raw data.

Shihao Zhang, Jing Yang, Ziyu Song et al. · IEEE Internet of Things Jour... · 1 citation