A combined HARA-TARA workflow is proposed to systematically identify and analyze risks from inherent DNN limitations in autonomous driving perception.
In: International Conference on Computer Safety, Reliability and Security (SafeComp) - Workshops (2020)
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Towards a Systematic Risk Assessment of Deep Neural Network Limitations in Autonomous Driving Perception
A combined HARA-TARA workflow is proposed to systematically identify and analyze risks from inherent DNN limitations in autonomous driving perception.