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基于智能手机传感器的实时无人机自主定位

Real-Time UAV Autonomous Localization Based on Smartphone Sensors.

机构信息

Equipment management and UAV Engineering College, Air force Engineering University, Xi'an 710038, China.

Science and Technology on Aircraft Control Laboratory, FACRI, Xi'an 710038, China.

出版信息

Sensors (Basel). 2018 Nov 27;18(12):4161. doi: 10.3390/s18124161.

Abstract

Localization in GPS-denied environments has become a bottleneck problem for small unmanned aerial vehicles (UAVs). Smartphones equipped with multi-sensors and multi-core processors provide a choice advantage for small UAVs for their high integration and light weight. However, the built-in phone sensor has low accuracy and the phone storage and computing resources are limited, which make the traditional localization methods unable to be readily converted to smartphone-based ones. The paper aims at exploring the feasibility of the phone sensors, and presenting a real-time, less memory autonomous localization method based on the phone sensors, so that the combination of "small UAV+smartphone" can operate in GPS-denied areas regardless of the overload problem. Indoor and outdoor flight experiments are carried out, respectively, based on an off-the-shelf smartphone and a XAircraft 650 quad-rotor platform. The results show that the precision performance of the phone sensors and real-time accurate localization in indoor environment is possible.

摘要

在 GPS 受限制的环境中进行定位已经成为小型无人机 (UAV) 的瓶颈问题。配备多传感器和多核处理器的智能手机因其高集成度和重量轻,为小型 UAV 提供了选择优势。然而,内置手机传感器的精度较低,并且手机存储和计算资源有限,这使得传统的定位方法无法直接转换为基于智能手机的方法。本文旨在探索手机传感器的可行性,并提出一种基于手机传感器的实时、低内存自主定位方法,以便“小型 UAV+智能手机”的组合能够在 GPS 受限制的区域中运行,而不受过载问题的影响。分别基于市售智能手机和 XAircraft 650 四旋翼平台进行了室内和室外飞行实验。结果表明,手机传感器的精度性能和室内环境下的实时精确定位是可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee9d/6308659/6564c60dc569/sensors-18-04161-g001.jpg

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