This paper presents a design method of large-scale visual positioning software combining embedded technology and software algorithm. The design process and implementation ideas of hardware and software are given, and the pattern recognition methods are utilized for accurate positioning of the target. The test method is to utilize the proposed system to process visual positioning recognition of airport obstacles. The experimental results show that the system can effectively improve the accuracy of recognition, thus ensuring the aircraft can evade the obstacle accurately in the process of running on the runway, and achieved satisfactory application results.
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Design and Implementation of Large-Scale Computer Vision Positioning Software
Semantic Scholar · Engineering · 2014
Abstract
This paper presents a design method of large-scale visual positioning software combining embedded technology and software algorithm. The design process and implementation ideas of hardware and software are given, and the pattern recognition methods are utilized for accurate positioning of the target. The test method is to utilize the proposed system to process visual positioning recognition of airport obstacles. The experimental results show that the system can effectively improve the accuracy of recognition, thus ensuring the aircraft can evade the obstacle accurately in the process of running on the runway, and achieved satisfactory application results.