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