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arXiv · 2311.09778

Certified Control for Train Sign Classification

Jan Roßbach·Michael Leuschel
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Abstract

There is considerable industrial interest in integrating AI techniques into railway systems, notably for fully autonomous train systems. The KI-LOK research project is involved in developing new methods for certifying such AI-based systems. Here we explore the utility of a certified control architecture for a runtime monitor that prevents false positive detection of traffic signs in an AI-based perception system. The monitor uses classical computer vision algorithms to check if the signs -- detected by an AI object detection model -- fit predefined specifications. We provide such specifications for some critical signs and integrate a Python prototype of the monitor with a popular object detection model to measure relevant performance metrics on generated data. Our initial results are promising, achieving considerable precision gains with only minor recall reduction; however, further investigation into generalization possibilities will be necessary.

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Jan Roßbach, Michael Leuschel. 2023-11-16. Certified Control for Train Sign Classification. https://doi.org/10.4204/eptcs.395.5

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