Research papers · 2018.04.03
An Analysis of ISO 26262: Using Machine Learning Safely in Automotive Software
An Analysis of ISO 26262: Machine Learning and Safety in Automotive Software
Overview
The paper analyzes how ML implementation affects the ISO 26262 safety lifecycle for driver-assistance and autonomous functions. It discusses resulting gaps and recommends adaptations to accommodate ML within automotive safety processes.
Author-supplied source information
Author-supplied information on arXiv.
6 pages, 3 figures
Version: arXiv v1 — manuscript revision