Challenges Of Testing Highly Automated Vehicles: A Literature Review-Reference-Cited by-同舟云学术

Challenges Of Testing Highly Automated Vehicles: A Literature Review

Published:2022-11-07 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE)
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Author:

Karunakaran Dhanoop¹,Berrio Julie Stephany¹,Worrall Stewart¹,Nebot Eduardo¹

Affiliation:

1. Australian Centre for Field Robotics (ACFR) at the University of Sydney (NSW, Australia)

Funder

Australian Centre for Field Robotics

University of Sydney

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9989529/9989561/09989562.pdf?arnumber=9989562

Reference66 articles.

1. Paving the roadway for safety of automated vehicles: An empirical study on testing challenges

2. An Analysis of ISO 26262: Machine Learning and Safety in Automotive Software

3. Safely entering the deep: A review of verification and validation for machine learning and a challenge elicitation in the automotive industry;borg,2018

4. Making the Case for Safety of Machine Learning in Highly Automated Driving

5. Literature review as a research methodology: An overview and guidelines

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