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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Bibliographic Details
Main Authors: Zhang, Yiran, Lou, Shanhe, Hang, Peng, Huang, Wenhui, Yang, Lie, Lv, Chen
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2025
Subjects:
Online Access:https://hdl.handle.net/10356/182434
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Institution: Nanyang Technological University
Language: English