论文信息 - A Framework to Handle Uncertainties of Machine Learning Models in Compliance with ISO 26262 - 字舞流文

A Framework to Handle Uncertainties of Machine Learning Models in Compliance with ISO 26262

Sohag Kabir | Vinod Vasudevan | Felician Campean | Amr Abdullatif | F. Campean | V. Vasudevan | Sohag Kabir | A. Abdullatif

[1] Sebastian Sudholt,et al. Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks , 2020, SAFECOMP Workshops.

[2] Jelena Frtunikj,et al. Deep Learning for Self-Driving Cars: Chances and Challenges , 2018, 2018 IEEE/ACM 1st International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS).

[3] Rick Salay,et al. An Analysis of ISO 26262: Machine Learning and Safety in Automotive Software , 2018 .

[4] A. Kiureghian,et al. Aleatory or epistemic? Does it matter? , 2009 .

[5] Arthur P. Dempster,et al. Upper and Lower Probabilities Induced by a Multivalued Mapping , 1967, Classic Works of the Dempster-Shafer Theory of Belief Functions.