1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SE2022★ 1 cited
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System
Markus Borg, Jens Henriksson, Kasper Socha +7
Integration of Machine Learning (ML) components in critical applications introduces novel challenges for software certification and verification. New safety standards and technical…
cs.AI2021
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL
Hamid Ebadi, Mahshid Helali Moghadam, Markus Borg +3
With the growing capabilities of autonomous vehicles, there is a higher demand for sophisticated and pragmatic quality assurance approaches for machine learning-enabled systems in…