无人驾驶应用的灯塔定位

Jonathan Gibson, Carl Haseler, H. Lassiter, Rangjun Liu, G. Morrow, Ben Oslund, Mike Zrimm, G. Lewin
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引用次数: 3

摘要

无人驾驶车辆成功应用的最重要因素之一是确定车辆相对于当地环境的位置的能力。虽然GPS技术在大多数地方都能很好地工作,但在混乱的环境和建筑物内,这项技术所必需的卫星覆盖是不可用的。目前的技术解决方案涉及高分辨率图像处理,这在货币和计算成本方面都是昂贵的。我们的项目团队正在为使用低成本激光器和现成组件的无人机开发另一种本地化解决方案。该技术涉及在受控环境中设置两个或多个“灯塔”信标。信标将从led发出不可见的红外光,并扫描周围环境的垂直红外激光器。安装在UGV上的光电二极管将对这些光源作出反应,并将这些信息传递给处理器。根据二极管响应的时序,可以确定灯塔和二极管之间的角度。当与超声波高度数据相结合时,这些角度可以被处理以确定二极管的位置,随后确定UGV的位置和方向。将评估最终灯塔系统的准确性和精度,以确定其在受控环境中定位无人机的有用性。该技术项目的最终目标是设计一个系统,该系统将基于灯塔系统的定位数据促进UGV的自动驾驶,同时可扩展到未来的3D应用中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lighthouse localization for unmanned applications
One of the most important factors in the successful application of unmanned vehicles is the ability to determine where a vehicle is in relation to its local environment. While GPS technology works well in most locations, the satellite coverage necessary for this technology to function is not available in cluttered environments and inside buildings. Current technological workarounds involve high resolution image processing, which is expensive in terms of both monetary and computational cost. Our project team is working to develop an alternative localization solution for drones that uses low cost lasers and off-the-shelf components. The technique involves setting up two or more "lighthouse" beacons in a controlled environment. The beacons will pulse invisible infrared light from LEDs and sweep vertical sheets of infrared lasers around the environment. Photodiodes installed on the UGV will respond to these light sources and pass this information to a processor. Based on the timing of the diode response, the angle between the lighthouse and the diodes can be determined. When combined with ultrasonic altitude data, these angles can be processed to determine the location of the diodes and subsequently the location and orientation of the UGV. The accuracy and precision of the final lighthouse system will be assessed to determine its usefulness for localizing drones in a controlled environment. The end goal of the technical project is to design a system that will facilitate the automated driving of a UGV based on localization data from the lighthouse system while being scalable for future implementation in 3D applications.
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