Probabilistic Risk Assessment of an Obstacle Detection System for GoA 4 Freight Trains
Author:
Affiliation:
1. University of Bremen, Bremen, Germany
2. DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark
Funder
German Ministry of Economics
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3623503.3623533
Reference28 articles.
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3. Experimental stability analysis of neural networks in classification problems with confidence sets for persistence diagrams
4. Testing, Validation, and Verification of Robotic and Autonomous Systems: A Systematic Review
5. A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations
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