On safety assurance case for deep learning based image classification in highly automated driving ... Abstract: Assessing the overall accuracy of deep learning ...
classifier is not a sufficient criterion to argue for safety of classification based functions in highly automated driving. The causes of deviation from the ...
On safety assurance case for deep learning based image ...
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The autonomous driving is manly dependent on technologies like image processing, deep learning, Convolutional Network and IOT. There are various vendors like ...
classifier is not a sufficient criterion to argue for safety of classification based functions in highly automated driving. The causes of deviation from the ...
A survey on methods for the safety assurance of machine learning based systems, in 10th European Congress on Embedded Real Time Software and Systems (ERTS) ...
Jun 18, 2022 · The latest generation of safety standards applicable to automated driving systems require both qualitative and quantitative safety ...
An assurance case structure is used to highlight the systems engineering and validation considerations when applying machine learning methods for highly ...
Since the safety goals are defined based on this “determined context” for the vehicle operation, the validity of the safety assurance argument that is produced ...
Sep 27, 2024 · According to the paper, a “safety concern” refers to functional insufficiencies in DNNs, such as misclassifying traffic signs due to adversarial ...
Oct 4, 2022 · The aim of this work is to provide an overview of this field by means of a systematic literature review with special focus on the area of highly ...