室内可见光定位智能优化方法研究进展OA
Research progress of intelligent optimization methods for indoor visible light positioning
室内可见光定位(VIP)是室内定位领域的研究热点,近年来越来越多采用人工智能的方法来优化和提升VIP的定位精度与效率.为了展示VIP智能优化方法的最新研究进展,首先归纳了VIP的相关概念与适用场景,并详细介绍了电磁严苛、热点高容量和无线信号传播受阻 3 种场景下的VIP应用,并与传统室内定位(IP)的可适性进行对比,对VIP定位方法进行分类;详细梳理了近年来提出的VIP智能优化方法,最后归纳了该领域的共性问题和挑战.
Indoor visible light positioning(VIP)is a research hotspot in the field of indoor positioning.In recent years,more and more artificial intelligence methods are used to optimize and improve the positioning accuracy and efficiency of VIP.In order to show the latest research progress of VIP intelligent optimization methods,the relevant concepts and application scenarios of VIP are first summarized,and VIP applications under three scenarios of severe electromagnetic,high capacity of hot spots and blocked wireless signal transmission are introduced in detail.The adaptability of VIP positioning methods is compared with that of traditional indoor positioning(IP).In this paper,the VIP intelligent optimization methods proposed in recent years are re-viewed in detail.Finally,the general problems and challenges in this field are summarized.
郑杰;刘旋;陈静
扬州大学信息工程学院(人工智能学院),江苏扬州 225127扬州大学信息工程学院(人工智能学院),江苏扬州 225127||东南大学计算机科学与工程学院,南京 211189
电子信息工程
可见光通信室内定位优化方法人工智能机器学习
visible light communicationindoor positioningoptimized methodartificial intelligencemachine learning
《光通信技术》 2024 (002)
48-55 / 8
江苏省"双创博士"项目(批准号:JSSCBS20211035)资助;江苏省博士后基金项目(批准号:2021K402C)资助;江苏省大学生创新创业训练计划项目(202211117119Y)资助.
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