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A review on quality management system and artificial intelligence methodology in autonomous vehicle development

Wang, Hao and Asrul, Adam and Yang, Wenbo (2020) A review on quality management system and artificial intelligence methodology in autonomous vehicle development. In: Journal of Physics: Conference Series, The 2nd Joint International Conference on Emerging Computing Technology and Sports (JICETS), 25-27 November 2019 , Bandung, Indonesia. pp. 1-10., 1529 (042070). ISSN 1742-6596

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Abstract

Quality management is important for autonomous vehicles because the software and hardware in autonomous vehicles are more complicated than conventional vehicles. The potential risks arise due to it is difficult to identify them in the early stage in the product development process. Researchers are lack of quality management knowledge and with limited resource and information to develop the autonomous vehicle. Different quality management systems and standards related with autonomous vehicle are introduced and compared in this study. This study presents a simplified product development process that integrate the process method, failure mode, and effect analysis methods. This study also introduces a review of artificial intelligence approach into this process.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Quality Management; Autonomous Vehicle; Limited Resource
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: College of Engineering
Institute of Postgraduate Studies
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 19 Jan 2021 07:20
Last Modified: 19 Jan 2021 07:20
URI: http://umpir.ump.edu.my/id/eprint/28122
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