Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems

Koorosh Aslansefat,Sohag Kabir,Amr Abdullatif,Vinod Vasudevan,Yiannis Papadopoulos

Computer（2021）

引用 11|浏览4

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摘要

This article proposes an approach named SafeML II, which applies empirical cumulative distribution function-based statistical distance measures in a designed human-in-the loop procedure to ensure the safety of machine learning-based classifiers in autonomous vehicle software.

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关键词

autonomous vehicle software,traffic sign recognition systems,SafeML II,empirical cumulative distribution function,machine learning-based classifiers,statistical distance measures,human-in-the loop procedure

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