Ergo, SMIRK is safe: a safety case for a machine learning component in a pedestrian automatic emergency brake system
Journal article, 2023

Author

Markus Borg

Lund University

RISE Research Institutes of Sweden

Jens Henriksson

Semcon

Kasper Socha

RISE Research Institutes of Sweden

Lund University

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

Subject Categories

Computer Vision and Robotics (Autonomous Systems)

More information

Latest update

7/11/2024