More Persuasive Explanation Method for End-to-End Driving Models

More Persuasive Explanation Method for End-to-End Driving Models

With the rapid development of autonomous driving technology, a variety of high-performance end-to-end driving models (E2EDMs) are being proposed. In order to understand the computational methods of E2EDMs, pixel-level explanations methods are used to obtain the explanations of the E2EDMs. However, l...

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Bibliographic Details
Main Authors:	Chenkai Zhang, Daisuke Deguchi, Yuki Okafuji, Hiroshi Murase
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Autonomous driving convolutional neural network end-to-end model explainability
Online Access:	https://ieeexplore.ieee.org/document/10013660/

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