LidarBoX:三维打印的开源测高仪系统,用于提高现成无人机的摄影测量精度

K. Bierlich, Drummond Wengrove, C. N. Bird, Robert Davidson, Todd Chandler, Leigh G Torres, Mauricio Cantor
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引用次数: 0

摘要

无人机为收集动物形态测量和行为采样的高分辨率图像提供了优越的鸟瞰视角。从头顶图像中提取的具有生物学意义的测量需要准确估计高度,但目前的商用无人机包括不准确的气压计估计。最近关于将高度计系统与无人机耦合的建议提供了定制的开源解决方案;然而,组装这样的高度计系统需要先进的技术技能,因此可能会限制它们的使用。在这里,我们建立在最近的进展,提供一个3D打印的外壳高度计系统是廉价的,独立的,易于设置,并在商业无人机转让。我们从一个已发布的,成功的由GPS和LiDAR传感器组成的数据记录仪系统出发,设计了一个更紧凑和自供电的版本(“LidarBoX”),可以轻松地连接到各种商用无人机上。我们比较了安装LidarBoX和不安装LidarBoX时的飞行时间,测试了飞行机动性和性能,验证了测量精度的可靠性。为了使LidarBoX易于访问,我们为非专业人士提供了一个包含设计代码和文件的开源存储库以及如何组装指南。我们希望这项工作有助于在商用无人机上推广激光雷达高度计系统,提高无人机作为生态和野生动物研究采样平台的准确性和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LidarBoX: a 3D-printed, open-source altimeter system to improve photogrammetric accuracy for off-the-shelf drones
Drones provide a privileged birds’-eye view for collecting high-resolution imagery for morphometric and behavioral sampling of animals. Biologically meaningful measurements extracted from overhead images require an accurate estimate of altitude, but current commercial drones include inaccurate barometer estimates. Recent proposals for coupling altimeter systems to drones have provided customized, open-source solutions; yet assembling such altimeter systems requires advanced technical skills, thereby potentially limiting their use. Here, we built upon recent advances to provide a 3D printed enclosure for an altimeter system that is inexpensive, self-contained, easy to set-up, and transferable across commercial drones. We depart from a published, successful data logger system composed of a GPS and LiDAR sensor, and design a more compact and self-powered version (“LidarBoX”) that easily attaches to a variety of commercial drones. We compare flight times with/without LidarBoX attached, test flight maneuverability and performance, and validate reliability of measurement accuracy. To make LidarBoX accessible, we provide an open-source repository with design code and files and a how-to assemble guide for non-specialists. We hope this work helps popularize LiDAR altimeter systems on commercial drones to improve the accuracy and reliability of drones as a sampling platform for ecology and wildlife research.
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