Pengfei Lin — accepted AI-conference papers

2026

A Synthetic Benchmark for Collaborative 3D Semantic Occupancy Prediction in V2X-Enabled Autonomous Driving

Hanlin Wu, Pengfei Lin, Ehsan Javanmardi, Naren Bao, Bo Qian, Hao Si +1

ICRA 2026poster

3D semantic occupancy prediction is an emerging perception paradigm in autonomous driving, providing a voxel-level representation of both geometric details and semantic categories. However, despite its fine-grained scene understanding, its effectiveness is inherently constrained in single-vehicle se…

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2022

Model Predictive Path-Planning Controller With Potential Function for Emergency Collision Avoidance on Highway Driving

Pengfei Lin, Manabu Tsukada

RA-L 2022

Existing potential functions (PFs) utilized in autonomous vehicles mainly focus on solving the path-planning problems in some conventional driving scenarios; thus, their performance may not be satisfactory in the context of emergency obstacle avoidance. Therefore, we propose a novel model predictive

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