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.
翻译:本文展示了由红外信标和装有光频带通过滤器的照相机组成的系统。我们的系统可以可靠地探测和识别在100米距离的单个信标,而不论照明条件如何。我们详细描述相机和信标设计以及图像处理管道。在我们的实验中,我们调查并展示了系统在白天和夜间条件下辨识我们的信标的能力。高度精密定位是自动车辆的关键助推器,但尽管最近有了很大的改进,仍未解决。我们的低成本、基于基础设施的方法是解决本地化问题的一个潜在步骤。所有数据集都在这里提供 https://embeded.rwth-achen.de/doku.php?id=forschung:mocity:infollicization:concept。