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低成本嵌入式计算机实时图像处理技术

Real-time Image Processing on Low Cost Embedded Computers

作者:Sunil Shah 作者单位:EECS Department, University of California, Berkeley 加工时间:2015-04-12 信息来源:EECS 索取原文[29 页]
关键词:嵌入式计算机;并行计算;实时图像处理;低成本
摘 要:This paper describes our work building, evaluating and improving performance of a vision-based system running on an embedded computer onboard such a small UAS. This system utilises open source software and open hardware to automatically land a multi-rotor UAS with high accuracy. Using parallel computing techniques, our final implementation runs at the maximum possible rate of 30 frames per second. This demonstrates a valid approach for implementing other real-time vision based systems onboard UAS using low power, small and economical embedded computers.
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