无人机标记识别自主飞行系统

Jin Kim, Yoon Suk Lee, Sang Su Han, Sangkwon Kim, G. Lee, Ho Jun Ji, Hye Ji Choi, K. Choi
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引用次数: 15

摘要

DHL开始测试和研究无人机送货系统。由于对商业化和个人使用无人机业务的需求不断增长,我们需要一种个人可以负担得起的实时无人驾驶无人机控制系统。本文提出了一种无人机自主飞行系统。我们在该系统中使用了标记识别技术,因为它不需要高规格的设备,这是普通人无法负担的。该系统在飞行中保持无人机与标记物之间的距离。该系统通过计算识别的标记图像面积来估计标记物与无人机之间的距离。在Parrot的无人机AR.drone 2.0和Android设备上进行了系统实验,验证了系统的性能。该系统有望应用于追击摄像头、无人驾驶交通等有前景的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autonomous flight system using marker recognition on drone
The DHL began test and research on delivery system by drone. Because of growing demand about comercialized and personal-use drone business, we needed a real-time unmanned drone control system that individuals can afford. In this paper, we propose an autonomous flight system for drone. We used marker recognition technique on that system because it doesn't require high-spec device which cannot be afforded by ordinary people. The proposed system maintains distance between drone and marker in flight. The system estimates the distance between marker and drone by calculating area of recognized marker image. Performance is validated by result of the proposed system experiment with Parrot's aerial vehicle AR.drone 2.0 and Android device. The proposed system is expected to be used in promising areas like chase camera, unmanned transport and etc.
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