Chao Xu
ABSTRACT
A new hardware algorithm architecture based on field programmable gate array (FPGA) is proposed to address the complex background situation where the traditional edge detection algorithm on a software platform is less effective for UAV apron localization and cannot meet the demand for real-time processing when the image data volume is too large. The architecture uses a combination of morphology and edge detection to ensure high-precision localization of the UAV apron while considering real-time localization. The hardware test results show that the system achieves 96.5% accuracy in image localization of the UAV apron and 13.06ms localization time.
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Digital Library
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