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首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >EVALUATION AND CALIBRATION OF FIXED-WING UAV MOBILE MAPPING SYSTEM EQUIPPED WITH LIDAR AND OPTICAL SENSORS
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EVALUATION AND CALIBRATION OF FIXED-WING UAV MOBILE MAPPING SYSTEM EQUIPPED WITH LIDAR AND OPTICAL SENSORS

机译：装备激光和光学传感器的固定翼无人机移动测绘系统的评估和校准

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摘要

In this paper, a mobile mapping system mounted on the UAV is presented and evaluated. The NEO3 UAV platform is an 11?kg fixed-wing designed by the MSP company. The UAV is equipped with a Riegl miniVUX-1UAV laser scanner, which is integrated with the GNSS/INS system of Applanix APX-15 UAV and two Sony Alfa 6000 cameras collecting images in the following spectrum: visible for the first camera and near-infrared for the second camera. The UAV mobile system presented is dedicated to the acquisition of multisource data for levee monitoring using active and passive remote sensing data. In this paper, the effectiveness of the ultralight laser scanner, which has not been mounted on the fixed-wing platforms so far, was verified in the experiment with respect to data density and accuracy. The example analyses were conducted using ground control points and surfaces measured with a terrestrial laser scanner and visible in point clouds obtained with a dense image matching algorithm. Analyses showed that the achieved accuracy is much related to trajectory accuracy. The final DTM created from the data collected during the float status of the GNSS measurements of the trajectory provided twice less accurate data than during fixed status (vertical error approximately 20?cm and 10?cm respectively).
机译：在本文中，提出并评估了安装在无人机上的移动制图系统。 NEO3无人机平台是由MSP公司设计的11公斤重固定翼。该无人机配备了Riegl miniVUX-1UAV激光扫描仪，该激光扫描仪与Applanix APX-15 UAV的GNSS / INS系统集成在一起，并配备了两台Sony Alfa 6000摄像机，它们收集以下光谱的图像：第一台摄像机可见，近红外用于第二台相机。展示的无人机移动系统专用于使用主动和被动遥感数据采集多源数据以监控堤坝。在本文中，从数据密度和准确性的角度验证了迄今为止尚未安装在固定翼平台上的超轻型激光扫描仪的有效性。使用地面控制点和地面进行了示例分析，地面控制点和地面通过地面激光扫描仪进行了测量，并在通过密集图像匹配算法获得的点云中可见。分析表明，所获得的精度与轨迹精度密切相关。从在轨迹的GNSS测量的浮动状态期间收集的数据创建的最终DTM提供的数据精度比固定状态期间的精度低两倍（垂直误差分别约为20？cm和10？cm）。

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