Automotive safety and machine learning-Reference-Cited by-同舟云学术

Automotive safety and machine learning

Published:2018-05-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems
language:
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Author:

Henriksson Jens¹,Borg Markus²,Englund Cristofer³

Affiliation:

1. Semcon Sweden AB, Gothenburg, Sweden

2. RISE SICS AB, Lund, Sweden

3. RISE Viktoria AB, Gothenburg, Sweden, Sweden

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3194085.3194090

Reference8 articles.

1. Mariusz Bojarski Davide Del Testa Daniel Dworakowski Bernhard Firner Beat Flepp Prasoon Goyal Lawrence D. Jackel Mathew Monfort Urs Muller Jiakai Zhang Xin Zhang Jake Zhao and Karol Zieba. 2016. End to End Learning for Self-Driving Cars. CoRR abs/1604.07316 (2016). arXiv:1604.07316 http://arxiv.org/abs/1604.07316 Mariusz Bojarski Davide Del Testa Daniel Dworakowski Bernhard Firner Beat Flepp Prasoon Goyal Lawrence D. Jackel Mathew Monfort Urs Muller Jiakai Zhang Xin Zhang Jake Zhao and Karol Zieba. 2016. End to End Learning for Self-Driving Cars. CoRR abs/1604.07316 (2016). arXiv:1604.07316 http://arxiv.org/abs/1604.07316

2. Xiaowei Huang Marta Kwiatkowska Sen Wang and Min Wu. 2016. Safety Verification of Deep Neural Networks. CoRR abs/1610.06940 (2016). arXiv:1610.06940 http://arxiv.org/abs/1610.06940 Xiaowei Huang Marta Kwiatkowska Sen Wang and Min Wu. 2016. Safety Verification of Deep Neural Networks. CoRR abs/1610.06940 (2016). arXiv:1610.06940 http://arxiv.org/abs/1610.06940

3. The Automotive Standard ISO 26262, the Innovative Driver for Enhanced Safety Assessment & Technology for Motor Cars

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