深埋复杂车站智能导航系统研究与实现

叶丽思; 马侃彦; 洪里平; 陈维亚

doi:10.3969/j.issn.1005-8451.2022.01.05

深埋复杂车站智能导航系统研究与实现

1.
华中科技大学　土木与水利工程学院，北京　430074
2.
京张城际铁路有限公司，北京　102199

基金项目: 国家重点研发计划项目（2020YFF0304100）

详细信息

作者简介:
叶丽思，在读本科生

马侃彦，正高级工程师

中图分类号: U291.6 : TP39
计量
- 文章访问数: 233
- HTML全文浏览量: 113
- PDF下载量: 28
出版历程
- 收稿日期: 2021-08-05
- 刊出日期: 2022-01-27

Intelligent navigation system for deep-buried complex railway station

1.
School of Civil And Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan　430074, China
2.
Jingzhang Intercity Railway Co. Ltd., Beijing　102199, China

摘要

摘要: 深埋复杂车站中的定位导航面临定位信号缺失、人流密度高、车站空间复杂等问题。为实现快速、精准地实时定位与导航，文章以北京—张家口高速铁路某深埋复杂车站的多层空间为对象，搭建智能导航系统，根据导航需求对车站建筑信息模型（BIM，Building Information Modeling）进行格式转换和信息读取，导入至Unity3D，利用导航网格（NavMesh，Navigation Mesh）快速生成可导航地图；采用计算机视觉技术实现全球定位系统（GPS，Global Positioning System）信号缺失情况下的实时定位，为用户提供高效精确的增强现实智能导航服务；解决跨层导航时定位不精准、不连续的问题；针对用户需求设计不同的功能模块，帮助用户快速找到对应目的地，实现旅客的高效、便捷出行。
- 站内导航 /
- 建筑信息模型 /
- 增强现实 /
- Unity3D /
- 导航网格
Abstract: Positioning and navigation in deep-buried complex station often face problems like lacking positioning service coverage, dealing with high traveler flow and complex indoor structure. This paper took the multi-storey space of a deep-buried complex station of Beijing-Zhangjiakou high-speed railway as the object to build an intelligent navigation system. According to the navigation requirements, the paper carried out the format conversion and information reading of the station Building Information Modeling(BIM), and imported it into Unity3D, and used Navigation Mesh(NavMesh) to quickly generate a navigable map, used computer vision technology to implement real-time positioning in the absence of Global Positioning System(GPS) signal, and provided users with efficient and accurate augmented reality intelligent navigation service, solved the problem of inaccurate and discontinuous positioning in cross layer navigation. According to the needs of users, the paper set up different functional modules to help users quickly find the corresponding destination and implement the efficient and convenient travel for passengers.
- in-station navigation /
- Building Information Modeling(BIM) /
- Augmented Reality(AR) /
- Unity3D /
- Navigation Mesh(NavMesh)

HTML全文

图 1 智能导航系统架构

下载: 全尺寸图片幻灯片

图 2 寻路算法设计流程

下载: 全尺寸图片幻灯片

图 3 智能导航系统App功能界面

下载: 全尺寸图片幻灯片

参考文献(19)

[1]	李琨浩. 基于“5G”网络的铁路车站智慧服务体系研究 [J]. 城市,2019(9):65-68. DOI: 10.3969/j.issn.1005-278X.2019.09.009
[2]	朱志娟, 阎志远, 朱建军. 铁路旅客全行程智慧出行方案研究[C]//中国智能交通协会. 第十一届中国智能交通年会优秀论文集. 北京: 电子工业出版社, 2016.
[3]	白斐,周雯,吕晓军,等. 高铁站三维电子地图的设计与实现 [J]. 铁路计算机应用,2016,25(11):32-35. DOI: 10.3969/j.issn.1005-8451.2016.11.008
[4]	Alexandra Millonig, Katja Schechtner. Developing Landmark-Based Pedestrian-Navigation Systems. [J]. IEEE Trans. Intelligent Transportation Systems, 2007, 8(1): 43-49. DOI: 10.1109/TITS.2006.889439
[5]	Masatoshi Arikawa, Shin'ichi Konomi, Keisuke Ohnishi. Navitime: Supporting Pedestrian Navigation in the Real World. [J]. IEEE Pervasive Computing, 2007, 6(3): 21-29. DOI: 10.1109/MPRV.2007.61
[6]	Zeinalipour-Yazti D, Laoudias C, Georgiou K, et al. Internet-based Indoor Navigation Services [J]. IEEE Internet Computing, 2017, PP(4): 1.
[7]	Liu H H , Yang Y N . WiFi-based indoor positioning for multi-floor Environment[J]. IEEE, 2012(1): 597-601.
[8]	杨国元,张秋亮. 基于iBeacon的站内定位导航系统设计研究 [J]. 铁路计算机应用,2018,27(7):43-47,52.
[9]	Juneja S, Vashisth S. Indoor positioning system using visible light communication[C]// 2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN). Bangalore, India: IEEE, 2017.
[10]	Guan T, Duan L, Yu J, et al. Real-time camera pose estimation for wide-area augmented reality applications [J]. IEEE computer graphics and applications, 2010, 31(3): 56-68.
[11]	Liu H, Zhang G, Bao H. Robust keyframe-based monocular SLAM for augmented reality[C]// 2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). Merida, Mexico: IEEE, 2016.
[12]	Malek M , Sebastian P , Drieberg M. Augmented reality assisted localization for indoor navigation on embedded computing platform[C]// 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). Kuching, Malaysia: IEEE, 2017.
[13]	Michel T, Genevès P, Fourati H, et al. Attitude estimation for indoor navigation and augmented reality with smartphones [J]. Pervasive and Mobile Computing, 2018(46): 96-121. DOI: 10.1016/j.pmcj.2018.03.004
[14]	KIM W, KIM H. Development of Indoor Navigation System based on the Augmented Reality in Subway Station [J]. The Journal of The Korea Institute of Intelligent Transport Systems, 2019, 18(1): 43-55. DOI: 10.12815/kits.2019.18.1.43
[15]	Kim J E, Bessho M, Kobayashi S, et al. Navigating visually impaired travelers in a large train station using smartphone and bluetooth low energy[C]// Proceedings of the 31st Annual ACM Symposium on Applied Computing. Pisa, Italy: ACM, 2016.
[16]	Diakité AA, Zlatanova S. Spatial subdivision of complex indoor environments for 3D indoor navigation [J]. International Journal of Geographical Information Science, 2018, 32(2): 213-235. DOI: 10.1080/13658816.2017.1376066
[17]	Khan D, Ullah S, Nabi S. A generic approach toward indoor navigation and pathfinding with robust marker tracking[J]. Remote Sensing, 2019, 11(24): 3052:1-3052:22.
[18]	Karimi HA. Indoor wayfinding and navigation[M]. Boca Raton, USA: CRC Press, 2015.
[19]	van Toll W, Cook IV AF, van Kreveld MJ, et al. The explicit corridor map: A medial axis-based navigation mesh for multi-layered environments[EB/OL]. (2017-01-01)[2021-08-06]. https://www.researchgate.net/publication/312521236.