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作 者:张开纲 ZHANG Kaigang(SGSG Science&Technology Co.,Ltd.,Zhuhai 519000,China)
机构地区:[1]珠海汇金科技股份有限公司,广东珠海519000
出 处:《智能物联技术》2024年第6期93-96,共4页Technology of Io T& AI
摘 要:无人机交通监控系统利用无人机进行实时交通监视,为交通管理提供了新的视角和数据支持。在此过程中,气压传感器与雷达技术融合应用,提供了精准的高度和位置信息,大大提高了无人机的操作效率和数据准确性。气压传感器可以补偿雷达在复杂环境下的定位误差,而雷达技术能够实时追踪地面车辆的动态,两者的融合使得无人机能在各种天气条件下稳定工作,并优化飞行策略。文章探讨了气压传感器与雷达融合技术在无人机交通监控中的应用,展示了该技术组合在提高无人机交通监控效率和准确性方面的显著优势。The unmanned aerial vehicle traffic monitoring system uses the unmanned aerial vehicle for real-time traffic monitoring,which provides a new perspective and data support for traffic management.In this process,the fusion application of air pressure sensor and radar technology greatly enhances the operation efficiency and data accuracy of the unmanned aerial vehicle by providing accurate altitude and position information.Air pressure sensors can compensate for radar positioning errors in complex environments,while radar technology can track the dynamics of vehicles on the ground in real time.The combination of the two allows unmanned aerial vehicle to work steadily in various weather conditions and optimize their flight strategy.This paper explores the application of pneumatic sensor and radar fusion technology in unmanned aerial vehicle traffic monitoring,demonstrating the significant advantages of this technology combination in improving the efficiency and accuracy of unmanned aerial vehicle traffic monitoring.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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