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Yi-Cheng Guo

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#machine learning Review Open access Oct 2026

A Survey on End-to-End Autonomous Driving Training From the Perspectives of Data, Strategy, and Platform

A Data-Strategy-Platform taxonomy is introduced that conceptualizes training as an interdependent system and surveys recent advances across data-centric pipelines, learning paradigms, and training infrastructures, and analyze their interplay in shaping model performance, robustness, and deployability.

Cheng-Kai Xu, Yi-Ming Cui, Jia-Qi Liu et al. · 5 citations
#artificial intelligence Preprint Sep 2026

DriveHierarchy: A Benchmark for Diagnosing VLM Driving Capabilities from Open-Loop Understanding to Closed-Loop Execution

A hierarchical benchmark that organizes VLM-based autonomous driving into four ranks, spanning perceptual grounding, contextual memory, mental reasoning, and closed-loop execution is presented, which serves as a unified framework for evaluating and improving VLM-based autonomous driving systems.

Cheng-Kai Xu, Jia-Qi Liu, Yi-Cheng Guo et al. · 0 citations

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