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作 者:张宏宇 焦新泉[1,2] 贾兴中[2] ZHANG Hongyu;JIAO Xinquanl;JIA Xingzhong(State Key Laboratory of Electronic Testing Technology,North Unversity of China,Taiyuan 030051,China;Key Laboratory of Instrument Science and Dynamic Testing,Ministry of Education,North University of China,Taiyuan 030051,China)
机构地区:[1]中北大学电子测试技术国家重点实验室,太原030051 [2]中北大学仪器科学与动态测试教育部重点实验室,太原030051
出 处:《火力与指挥控制》2023年第7期163-169,共7页Fire Control & Command Control
摘 要:近年来基于视觉的无人平台广泛应用于军事战争中的侦察、打击、运输等方面。双目视觉系统可以为无人平台提供深度信息。针对现代战争需求,设计了一种双目视觉系统,该系统基于FPGA实现了图像的采集、滤波以及畸变矫正,并为多种代价计算、代价聚合方法留出冗余。结果证明,该系统以较低的功耗完成图像的采集矫正,后续可适配多种算法。In recent years,vision-based unmanned platforms have been widely used in reconnaissance,strike,transportation and other aspects of military warfare.The binocular vision system can provide depth information for unmanned platforms.Aiming at the needs of the modern warfare,a binocular vision system is designed,which realizes image acquisition,filtering and distortion correction based on FPGA,and leaves redundancy for various cost calculation and cost aggregation methods.The results show that the system can complete the image acquisition and correction with low power consumption,and can be adapted to a variety of algorithms.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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