  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.
