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TRACKING TRACK TARGETS IN EXTERNAL STORE SEPARATION USING COMPUTER VISION

机译:使用计算机视觉跟踪外部商店分离中的轨道目标

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Flight tests and flight safety are tightly coupled. For a given experimental test flight, the main objective to be achieved is related to the test bed and crew integrity (i.e. Bring back the test bed in one piece). Furthermore, the aircraft operational safety (i.e. continued airworthiness) relies into the accuracy of gathered information, provided by the airborne Flight Test Instrumentation (FTI) system. Typically, the FTI system includes: a data acquisition system; a transmission system; a data recorder; multiple sensors and auxiliary equipment such as Global Navigation Satellite System (GNSS) Receiver. In a specific Flight Test Campaign (FTC), such as external stores separation FTC, the associated risk is high because the non-linear and unpredicted aerodynamics couplings between the released store and the aircraft structure (e.g. wings) could lead to a catastrophic collision condition. Typically, the setup for such FTC is a big technical challenge for the instrumentation group because the determination of six degrees of freedom (6Dof) trajectory of the release store becomes mandatory. Such information could be by the means of an optical tracking system that requires the integration of two or more hi-speed hi-resolution video cameras into FTI. Unfortunately, the FTI and the Real-Time Telemetry Link (RTL) limited bandwidth imposes several restrictions for the development and implementation of a real-time application to be used at the Ground Telemetry System (GTS) for the verification of the separation safety and the validation of the test point. This paper, presents the implementation of computer vision techniques and Camshift algorithm as an approach to tracking individual track targets on the store surface which can be perform onboard and in real time or near real time. The development of the algorithm is presented as well several experimental test results that use videos frames gathered from previous FTC executed by Instituto de Pesquisas e Ensaios em Voo (Flight Test and Research Institute - IPEV). Preliminary results present satisfactory performance.
机译:飞行试验和飞行安全紧紧耦合。对于给定的实验测试飞行,待实现的主要目的是与试验床和船员完整性有关(即在一件中带回试验台)。此外,飞机操作安全(即持续的适航性)依赖于机载飞行试验仪器(FTI)系统提供的收集信息的准确性。通常,FTI系统包括:数据采集系统;传输系统;数据记录器;多个传感器和辅助设备,如全球导航卫星系统(GNSS)接收器。在特定的飞行测试活动(FTC)中,例如外部商店分离FTC,所带来的风险很高,因为释放的商店和飞机结构(例如翼)之间的非线性和未预测的空气动力学联接可能导致灾难性的碰撞条件。通常,这种FTC的设置是仪器组的重要技术挑战,因为释放商店的六个自由度(6dof)轨迹成为强制性的。这些信息可以通过光学跟踪系统的装置,该方法需要将两个或更多个高速Hi-D分辨率摄像机集成到FTI中。不幸的是,FTI和实时遥测链路(RTL)有限带宽对开发和实施进行了几种限制,用于在地面遥测系统(GTS)上用于验证分离安全性和验证的实时应用验证测试点。本文介绍了计算机视觉技术和CAMShift算法的实现,作为跟踪商店表面上的各个轨道目标的方法,该轨道曲面上可以在板载和实时或近实时执行。还提出了算法的开发,以及使用由Insituto de Pesquisas E EnsaioS EM VOO(飞行测试和研究所 - iPev)执行的上一个FTC收集的视频框架的实验测试结果。初步结果显示令人满意的性能。

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