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Hardware-in-the-Loop Testing of Stereo Vision-Based Hazard-Detection Method for Planetary Landing

机译:基于立体视觉的行星着陆危险检测方法在环测试

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Hazard-detection and avoidance systems will become an important asset for next-generation landing and exploration missions. To date, multiple studies into these systems were conducted to develop the methods needed and to demonstrate their performance in mainly software-based tests. Few studies were able to demonstrate the performance of the algorithm in hardware-in-the-loop tests, as these are usually difficult to set up and expensive to execute. In this paper, the hardware-in-the-loop testing of a stereo-vision based hazard-detection algorithm is presented. It was performed with the Testbed for Robotic Optical Navigation (TRON) at the German Aerospace Center (DLR) in Bremen, Germany. Since this testbed only allows for testing in a scaled environment, one of the challenging tasks was to design a scaled-down test set-up to represent a real-life lunar descent. The hardware-in-the-loop testing confirmed the results obtained during the earlier software-in-the-loop testing, that stereo vision can successfully be used for hazard detection during planetary descent.
机译:危害探测和避免系统将成为下一代着陆和探索任务的重要资产。迄今为止,已对这些系统进行了多次研究,以开发所需的方法并在主要基于软件的测试中证明其性能。很少有研究能够证明该算法在硬件在环测试中的性能,因为这些通常很难设置并且执行起来很昂贵。本文提出了一种基于立体视觉的危险检测算法的硬件在环测试。它是通过位于德国不来梅的德国航空航天中心(DLR)的机器人光学导航测试台(TRON)进行的。由于该测试平台仅允许在缩放的环境中进行测试,因此具有挑战性的任务之一是设计缩小的测试设置,以代表现实生活中的月球下降。硬件在环测试证实了在较早的软件在环测试中获得的结果,即立体视觉可以成功地用于行星下降过程中的危险检测。

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