Design of three-dimensional visualization indoor navigation system in smart city construction
Design of three-dimensional visualization indoor navigation system in smart city construction
复制标题
智慧城市建设中三维可视化室内导航系统设计
DOI：
10.1051/e3sconf/202128302025
复制
发表时间：
2021
影响因子：
--
通讯作者：
Erhu Wei
中科院分区：
文献类型：
--
作者：
Chunlei Guo;Cuizhi Liu;Erhu Wei
近年来，智慧城市因其高度智能化和信息化而受到越来越多的关注。未来，智慧社区、智慧停车场、智慧展厅将走进人们的生活。在这些智慧服务中，室内导航定位技术是基础技术。高精度室内外无缝定位技术在人们未来生活中发挥着至关重要的作用，是推动大众创新创业的科技源动力，是支撑国家战略需求的重要组成部分。目前，室内导航仍面临成本高、适应性差、续航能力差等挑战。本文结合三维可视化技术，设计并实现了室内导航系统。结果表明，室内导航系统将室内定位与人工智能相结合，实现了多通道定位，降低了功耗，可广泛应用于智慧城市建设，为人们的生活带来便利。
In recent years, smart city has attracted more and more attention because of its high intelligence and informatization. In the future, smart community, smart parking lot and smart exhibition hall will enter people's life. In these smart services, indoor navigation and positioning technology is the basic technology. High precision indoor and outdoor seamless positioning technology plays a vital role in people's future life, is the science and technology source power to promote public innovation and entrepreneurship, and is an important part of supporting the national strategic needs. At present, indoor navigation is still facing challenges such as high cost, poor adaptability and poor endurance. In this paper, combined with threedimensional( 3D) visualization technology, indoor navigation is designed and applied. The results show that the indoor navigation system combines indoor positioning and artificial intelligence to achieve multichannel positioning and reduce power consumption, which can be widely used in the construction of smart city and bring convenience to people's life.
DOI：
10.11873/j.issn.1004-0323.2016.6.1091
发表时间：
2016-12
期刊：
Remote Sensing Technology and Application
影响因子：
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作者：
He Yuanrong;Zheng Yuanmao;Pan Huoping;Chen Jianzhi
通讯作者：
He Yuanrong;Zheng Yuanmao;Pan Huoping;Chen Jianzhi
DOI：
10.2498/cit.1001182
发表时间：
2009-03
期刊：
J. Comput. Inf. Technol.
影响因子：
--
作者：
D. Kragic
通讯作者：
D. Kragic
DOI：
10.3390/s18020590
发表时间：
2018-02-14
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Ruotsalainen L;Kirkko-Jaakkola M;Rantanen J;Mäkelä M
通讯作者：
Mäkelä M