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 |
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Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Article |
Language: | English |
Published: |
2025
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/182434 |
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Institution: | Nanyang Technological University |
Language: | English |
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