日本フィジカルAI新聞

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arXiv:2104.09335

Investigating Outdoor Recognition Performance of Infrared Beacons for Infrastructure-based Localization

Investigating Outdoor Recognition Performance of Infrared Beacons for Infrastructure-based Localization

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著者: Alexandru Kampmann, Michael Lamberti, Nikola Petrovic, Stefan Kowalewski, Bassam Alrifaee

分類: cs.CV, cs.RO

原文アブストラクト

This paper demonstrates a system comprised of infrared beacons and a camera equipped with an optical band-pass filter. Our system can reliably detect and identify individual beacons at 100m distance regardless of lighting conditions. We describe the camera and beacon design as well as the image processing pipeline in detail. In our experiments, we investigate and demonstrate the ability of the system to recognize our beacons in both daytime and nighttime conditions. High precision localization is a key enabler for automated vehicles but remains unsolved, despite strong recent improvements. Our low-cost, infrastructure-based approach is a potential step towards solving the localization problem. All datasets are made available here https://embedded.rwth-aachen.de/doku.php?id=forschung:mobility:infralocalization:concept.