Using a newly developed verification framework, researchers have uncovered safety limitations in open-source self-driving systems during high-speed movements and sudden cut-ins, raising concerns for ...
Comparison of different autonomous driving systems. (a) is rule-based with manually defined rules, (b) is data-driven but lacks diversity in training data, and (c) integrates large language model (LLM ...
GUANGZHOU, China, Dec. 28, 2025 /PRNewswire/ -- XPENG, in collaboration with Peking University, has had its paper "FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based ...
XPENG-PKU Research Breakthrough: XPENG, in collaboration with Peking University, has developed FastDriveVLA—a novel visual token pruning framework that enables autonomous driving AI to "drive like a ...
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