Department of Avionics and Control, Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, al. Powst. Warszawy 8, 35-959 Rzeszów, Poland.
Eurotech sp. z o. o., ul. Strefowa 3, 39-300 Mielec, Poland.
Sensors (Basel). 2021 Nov 5;21(21):7360. doi: 10.3390/s21217360.
In the near future, the integration of manned and unmanned aerial vehicles into the common airspace will proceed. The changes taking place mean that the safety of light aircraft, ultralight aircraft and unmanned air vehicles (UAV) will become an increasing problem. The IDAAS project (Intruder Detection And collision Avoidance System) meets the new challenges as it aims to produce technically advanced detection and collision avoidance systems for light and unmanned aerial vehicles. The work discusses selected elements of research and practical tests of the intruder detection vision system, which is part the of IDAAS project. At the outset, the current formal requirements related to the necessity of installing anticollision systems on aircraft are presented. The concept of the IDAAS system and the structure of algorithms related to image processing are also discussed. The main part of the work presents the methodology developed for the needs of dedicated flight tests, its implementation and the results obtained. The initial tests of the IDAAS system carried out on an ultralight aircraft generally indicate the possibility of the effective detection of intruders in the airspace with the use of vision methods, although they also indicated the existence of conditions in which this detection may prove difficult or even impossible.
在不久的将来,载人飞机和无人机将被整合到共同空域中。正在发生的变化意味着,轻型飞机、超轻型飞机和无人机的安全将成为一个日益严重的问题。IDAAS 项目(入侵检测和防撞系统)应对新的挑战,旨在为轻型和无人机生产先进的检测和防撞系统。这项工作讨论了入侵检测视觉系统的一些研究和实际测试的选择元素,该系统是 IDAAS 项目的一部分。首先,介绍了与飞机上安装防撞系统的必要性相关的现行正式要求。还讨论了 IDAAS 系统的概念和与图像处理相关的算法结构。工作的主要部分提出了为专用飞行测试需求开发的方法学,及其实施和所获得的结果。在超轻型飞机上进行的 IDAAS 系统的初步测试通常表明,尽管存在某些条件可能使这种检测变得困难甚至不可能,但使用视觉方法有效地检测空域中的入侵者是有可能的。