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Understanding the Impact of Edge Cases from Occluded Pedestrians for ML
  Systems

Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems

26 April 2022
Jens Henriksson
C. Berger
Stig Ursing
ArXivPDFHTML

Papers citing "Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems"

2 / 2 papers shown
Title
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a
  Pedestrian Automatic Emergency Brake System
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
22
23
0
16 Apr 2022
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
M. Kwiatkowska
Sen Wang
Min Wu
AAML
180
932
0
21 Oct 2016
1