FPGA-based UAV Heterogeneous Computing Platform Architecture

Junpeng Guo, Bo Jiang, Hong-xun Xu
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Abstract

The development of the UAV field is changing with each passing day, especially a lot of research has been done on the road of autonomous and controllable. At present, the control module has become the mainstream design. Because it can perform high-performance real-time image processing, which is popular, but this design has the disadvantages of high power consumption, slow processing and low response speed. With its high-performance concurrent computing mode, FPGA has excellent performance in signal processing, graphics deduction, control and other fields, and has low power consumption. The embedded architecture on the edge side has attracted more and more attention. Small UAVs have limitations such as small size, low power load, and high timeliness. The GPU-ARM architecture cannot meet the requirements of small drones. In order to solve the above problems, this paper proposes a new UAV architecture based on FPGA-ARM-GPU for the use of small UAV.
基于fpga的无人机异构计算平台架构
无人机领域的发展日新月异,特别是在自主可控的道路上进行了大量的研究。目前,控制模块已经成为主流设计。因为它可以进行高性能的实时图像处理,所以很受欢迎,但是本设计存在功耗高、处理速度慢、响应速度低等缺点。FPGA凭借其高性能并发计算模式,在信号处理、图形演绎、控制等领域具有优异的性能,且功耗低。边缘侧嵌入式架构越来越受到人们的关注。小型无人机具有体积小、功率负载低、时效性高等局限性。GPU-ARM架构无法满足小型无人机的需求。为了解决上述问题,本文提出了一种基于FPGA-ARM-GPU的小型无人机新架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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