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Shihao Zhang

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Jul 2026

Hybrid imitation learning and differentiable optimization framework for trajectory planning in autonomous driving

This work proposes a hybrid trajectory planning framework that integrates IL-based multimodal trajectory proposal with differentiable optimization, and introduces a surrounding agent centric data augmentation strategy that reuses real-world trajectories of surrounding vehicles as additional expert demonstrations, there...

Shihao Zhang, Zi-Yu Song, Zhaochen Xia et al. · 0 citations
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 dist...

Shihao Zhang, Jing Yang, Ziyu Song et al. · 1 citation

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