An integrated software development lifecycle for intelligent automotive software: the W model
Academic Article
Publication Date:
2017
abstract:
Deep learning is becoming crucial to the development of automotive software for applications such as autonomous driving. The authors have devised a framework that supports a robust, disciplined development lifecycle for such software, and a comprehensive integration with traditional automotive software engineering.
Iris type:
01.01 Articolo in rivista
Keywords:
Deep Learning; W model
List of contributors:
Falcini, Fabio; Lami, Giuseppe
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