Research papers · Posted 2018.12.07 · Publication / acceptance: author-reported
Open Problems in Engineering and Quality Assurance of Safety Critical Machine Learning Systems
Open Problems in Engineering and Quality Assurance of Safety Critical Machine Learning Systems
Overview
Using automated driving as an example, the study organizes open engineering and quality-assurance problems for safety-critical ML. It maps relevant industrial and technical trends across automotive engineering, statistics, software engineering, and machine learning.
Publication and version information
Publication, acceptance or venue information is author-reported on arXiv. The exact source wording is preserved below.
Author-supplied source information
Author-supplied information on arXiv.
DISE1: Joint Workshop on Deep (or Machine) Learning for Safety-Critical Applications in Engineering
Version: arXiv v1 — manuscript revision