Yun-Fu Liu — accepted AI-conference papers

2025

ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving

Xueyi Liu, Zuodong Zhong, Qichao Zhang, Yuxin Guo, Yupeng Zheng, Junli Wang +6

CoRL 2025poster

Due to the powerful vision-language reasoning and generalization abilities, multimodal large language models (MLLMs) have garnered significant attention in the field of end-to-end (E2E) autonomous driving. However, their application to closed-loop systems remains underexplored, and current MLLM-base…

Cited by 0 Source ↗code ↗Scholar ↗

2025

UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty

Pengxuan Yang, Yupeng Zheng, Qichao Zhang, Kefei Zhu, Zebin Xing, Qiao Lin +3

ICRA 2025

End-to-end autonomous driving aims to produce planning trajectories from raw sensors directly. Currently, most approaches integrate perception, prediction, and planning modules into a fully differentiable network, promising great scalability. However, these methods typically rely on deterministic mo

Cited by 14 Source ↗code ↗Scholar ↗