Interactive prediction and decision-making for autonomous vehicles: online active learning with traffic entropy minimization

Interacting with the surrounding road users is crucial for autonomous vehicles (AV). However, the inherent multimodality and uncertainties associated with traffic participants (TP) pose challenges in AVs' prediction and decision-making (PnD). A primary challenge is adapting predictors trained o...

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Main Authors: Zhang, Yiran, Lou, Shanhe, Hang, Peng, Huang, Wenhui, Yang, Lie, Lv, Chen
其他作者: School of Mechanical and Aerospace Engineering
格式: Article
語言:English
出版: 2025
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在線閱讀:https://hdl.handle.net/10356/182434
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