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Image processing in airborne applications using multicore embedded computers

机译:使用多核嵌入式计算机的机载应用中的图像处理

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More autonomous flying platforms will have to rely on on-board image processing performed in real time due more sophisticated applications like more autonomous landing or collision sensing, object detection, recognition and identification. This work is an effort to investigate whether modern COTS multicore embedded computers are suitable to perform state-of-the-art image processing applications, such as object recognition, on-board an aircraft. This paper presents requirements of avionics, challenges of implementing such algorithms, the characteristics of possible hardware platforms, and their programing model considerations that influence the performance of such applications. The paper presents an experimental implementation of core algorithm blocks on multicore platforms from Freescale. It shows that modern multi-core processors still need a performance boost for demanding real-time image processing.
机译:由于更复杂的应用(例如更自主的着陆或碰撞感应,物体检测,识别和识别),更多的自主飞行平台将不得不依赖实时执行的机载图像处理。这项工作是为了研究现代的COTS多核嵌入式计算机是否适合执行最新的图像处理应用程序,例如飞机上的目标识别。本文介绍了航空电子设备的要求,实现此类算法的挑战,可能的硬件平台的特性以及影响此类应用程序性能的编程模型考虑因素。本文介绍了飞思卡尔在多核平台上的核心算法模块的实验实现。它表明,现代的多核处理器仍然需要提高性能,以进行实时图像处理。

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