Is human-like decision making explainable? Towards an explainable artificial intelligence for autonomous vehicles

Is human-like decision making explainable? Towards an explainable artificial intelligence for autonomous vehicles

To achieve trustworthy human-like decisions for autonomous vehicles (AVs), this paper proposes a new explainable framework for personalized human-like driving intention analysis. In the first stage, we adopt a spectral clustering method for driving style characterization, and introduce a misclassifi...

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Bibliographic Details
Main Authors: Jiming Xie, Yan Zhang, Yaqin Qin, Bijun Wang, Shuai Dong, Ke Li, Yulan Xia
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Transportation Research Interdisciplinary Perspectives
Subjects:
Human-like autonomous driving system
Decision making
Interpretability
Width human-like neural network
Explainable artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2590198224002641
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