Open AccessA Review on Quality Management System and Artificial Intelligence Methodology in Autonomous Vehicle Development
Author(s) -
Hao Wang,
Asrul Adam,
Wenbo Yang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1529/4/042070
Subject(s) - process (computing) , quality (philosophy) , computer science , systems engineering , product (mathematics) , new product development , risk analysis (engineering) , process management , engineering , business , philosophy , geometry , mathematics , epistemology , marketing , operating system
Quality management is required in the development of autonomous vehicles because the integration between software and hardware is more complicated compared to conventional vehicles. The potential risks arise due to it is challenging to identify some failures in the early stage of the product development process. In addition, some researchers are lack in terms of quality management knowledge, limited resources and information to develop the autonomous vehicle. Different quality management systems and standards related to autonomous vehicles are introduced and compared in this study. This study presents a simplified product development process that integrates between the process method, failure mode, and effect analysis methods. This study also introduces a review of the artificial intelligence approach into this process.