研究基于基础设施定位的红外信标的室外识别性能
Investigating Outdoor Recognition Performance of Infrared Beacons for Infrastructure-based Localization
摘要：
本文演示了一个系统，包括红外信标和摄像机配备了光学带通滤波器。我们的系统可以在100米的距离内可靠地检测和识别单个信标，无论照明条件如何。我们详细描述了相机和信标的设计以及图像处理流水线。在我们的实验中，我们调查和展示的系统，以识别我们的信标在白天和夜间条件下的能力。高精度定位是自动驾驶汽车的关键推动因素，但尽管最近有了很大的改进，但仍然没有解决。我们的低成本、基于基础设施的方法是解决本地化问题的潜在步骤。所有数据集都可以在这里获得https://embedded.rwth-aachen.de/doku.php? id=forschung：移动性：超定位：概念。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
