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Robustness testing of AI systems: A case study for traffic sign recognition

Robustness testing of AI systems: A case study for traffic sign recognition

Christian Berghoff
Pavol Bielik
Matthias Neu
Petar Tsankov
Arndt von Twickel
    AAML
ArXiv (abs)PDFHTML

Papers citing "Robustness testing of AI systems: A case study for traffic sign recognition"

3 / 3 papers shown
Title
S-RAF: A Simulation-Based Robustness Assessment Framework for Responsible Autonomous Driving
S-RAF: A Simulation-Based Robustness Assessment Framework for Responsible Autonomous Driving
Daniel Omeiza
Pratik Somaiya
Jo-Ann Pattinson
Carolyn Ten-Holter
Jack Stilgoe
Marina Jirotka
Lars Kunze
90
0
0
16 Aug 2024
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient
Max W. Shen
102
19
0
10 Feb 2022
Comparing the Machine Readability of Traffic Sign Pictograms in Austria and Germany
Comparing the Machine Readability of Traffic Sign Pictograms in Austria and Germany
Alexander Maletzky
S. Thumfart
Christoph Wruss
46
0
0
06 Sep 2021

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