基于智能手机的快速可见光室内定位系统 |
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引用本文: | 杨桢,方俊彬,陈哲. 基于智能手机的快速可见光室内定位系统[J]. 应用光学, 2017, 38(3): 358-364. DOI: 10.5768/JAO201738.0301004 |
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作者姓名: | 杨桢 方俊彬 陈哲 |
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作者单位: | 1.暨南大学 广东省可见光通信工程技术研究中心,广东 广州 510632 |
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基金项目: | 国家自然科学基金项目61401176广东省自然科学基金项目2014A030310205广东省科技计划项目2014B010120002广东省科技计划项目2016A010101017广东省高等学校项目YQ2015018广州市科技计划项目201605030002广东大学生科技创新培育专项资金pdjh2016b0057 |
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摘 要: | 基于智能手机的可见光定位不仅定位精度高,还兼具了可见光通信与移动互联网的优势。由于图像处理的高计算复杂度,现有系统定位速度较低无法支持实时导航。论文提出了一种快速和高精度的可见光室内定位系统,通过设计无闪烁线路编码方案和轻量级图像处理算法降低定位时延,同时还具有抑制调制闪烁和支持多级调光的优点。市售Android智能手机完成了原型系统开发和现场测试,实验结果显示,系统平均定位精度可达到7.5 cm,定位时间可低至22.7 ms(单灯)和35.7 ms(双灯),可支持移动速度高达18 km/h的实时室内导航。
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关 键 词: | 可见光通信 室内定位 线路编码 图像处理 |
收稿时间: | 2016-06-28 |
Fast visible light indoor positioning system based on smart phone |
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Affiliation: | 1.Guangdong Provincial Engineering Technology Research Center on Visible Light Communication, Jinan University, Guangzhou 510632, China2.Guangzhou Municipal Key Laboratory of Engineering Technology on Visible Light Communication, Jinan University, Guangzhou 510632, China3.Department of Optoelectronic Engineering, Jinan University, Guangzhou 510632, China |
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Abstract: | Visible light positioning (VLP) based on mobile phone not only has high positioning accuracy, but also has advantages of visible light communication and mobile internet. Due to high computational complexity of image processing, most existing system can not support real-time navigation because of its low positioning speed. A fast indoor VLP system with high accuracy is proposed in this paper. Positioning latency is reduced by designing elaborate flicker-free line coding scheme and lightweight image processing algorithm. In addition, this system has advantage of supporting flicker mitigation and dimming, which are important for illumination. Android-based system prototype has been developed for field tests on an off-the-shelf smartphone. Experimental results show that it can achieve high accuracy of 7.5 cm, and positioning time is reduced to 22.7 ms for single-luminaire and to 35.7 ms for dual-luminaries respectively. In addition, it supports real-time indoor navigation for users moving at a speed of up to 18 km/h. |
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