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. 31 335-403

Ämneskategorier

Datorseende och robotik (autonoma system)

Mer information

Senast uppdaterat

2024-07-11