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Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL
16 September 2021
Hamid Ebabi
M. H. Moghadam
Markus Borg
Gregory Gay
Afonso Fontes
Kasper Socha
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Papers citing
"Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL"
2 / 2 papers shown
Title
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
Olof Lennartsson
Elias Sonnsjo Lonegren
T. Bui
Piotr Tomaszewski
S. Sathyamoorthy
Sebastian Brink
M. H. Moghadam
35
23
0
16 Apr 2022
Exploring ML testing in practice -- Lessons learned from an interactive rapid review with Axis Communications
Qunying Song
Markus Borg
Emelie Engström
H. Ardö
Sergio Rico
14
10
0
30 Mar 2022
1