Ergo, SMIRK is safe: a safety case for a machine learning component in a pedestrian automatic emergency brake system
Artikel i vetenskaplig tidskrift, 2023
Författare
Markus Borg
Lunds universitet
RISE Research Institutes of Sweden
Jens Henriksson
Semcon
Kasper Socha
RISE Research Institutes of Sweden
Lunds universitet
Olof Lennartsson
Infotiv AB
Elias Sonnsjö Lönegren
Infotiv AB
Thanh Bui
RISE Research Institutes of Sweden
Piotr Tomaszewski
RISE Research Institutes of Sweden
Sankar Raman Sathyamoorthy
Qrtech AB
Sebastian Brink
Combitech
Mahshid Helali Moghadam
RISE Research Institutes of Sweden
Software Quality Journal
0963-9314 (ISSN) 1573-1367 (eISSN)
Vol. 31 335-403Ämneskategorier
Datorseende och robotik (autonoma system)