Indoor Positioning System Using Depth Maps and Wireless Networks

被引:11
作者
Duque Domingo, Jaime [1 ]
Cerrada, Carlos [1 ]
Valero, Enrique [2 ]
Cerrada, J. A. [1 ]
机构
[1] UNED, ETSI Informat, Dept Ingn Software & Sistemas Informat, C Juan del Rosal 16, Madrid 28040, Spain
[2] Heriot Watt Univ, Sch Energy Geosci Infrastruct & Soc, Edinburgh EH14 4AS, Midlothian, Scotland
关键词
Wi-Fi - Wireless local area networks (WLAN);
D O I
10.1155/2016/2107872
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This work presents a new Indoor Positioning System (IPS) based on the combination of WiFi Positioning System (WPS) and depth maps, for estimating the location of people. The combination of both technologies improves the efficiency of existing methods, based uniquely on wireless positioning techniques. While other positioning systems force users to wear special devices, the system proposed in this paper just requires the use of smartphones, besides the installation of RGB-D sensors in the sensing area. Furthermore, the system is not intrusive, being not necessary to know people's identity. The paper exposes the method developed for putting together and exploiting both types of sensory information with positioning purposes: the measurements of the level of the signal received from different access points (APs) of the wireless network and the depth maps provided by the RGB-D cameras. The obtained results show a significant improvement in terms of positioning with respect to commonWiFi-based systems.
引用
收藏
页数:8
相关论文
共 25 条
[1]  
[Anonymous], 2013, ROBOT SOCCER WORLD C
[2]  
Bahl P., 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064), P775, DOI 10.1109/INFCOM.2000.832252
[3]   Tensor Body: Real-time Reconstruction of the Human Body and Avatar Synthesis from RGB-D [J].
Barmpoutis, Angelos .
IEEE TRANSACTIONS ON CYBERNETICS, 2013, 43 (05) :1347-1356
[4]  
Deak G., 2010, IMAGE PROCESSING COM, V15, P23
[5]   A survey of active and passive indoor localisation systems [J].
Deak, Gabriel ;
Curran, Kevin ;
Condell, Joan .
COMPUTER COMMUNICATIONS, 2012, 35 (16) :1939-1954
[6]   Advanced integration of WiFi and inertial navigation systems for indoor mobile positioning [J].
Evennou, Frederic ;
Marx, Francois .
EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, 2006, 2006 (1)
[7]   Fuzzy Distance Measuring Based on RSSI in Wireless Sensor Network [J].
Feng, Xiufang ;
Gao, Zhanqiang ;
Yang, Mian ;
Xiong, Shibo .
2008 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2, 2008, :395-400
[8]  
Husen MohdNizam., 2014, Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication, page, P109
[9]  
Kornuta C., 2013, P 18 C ARG CIENC COM
[10]  
Lawson C.T., 2011, Compression and mining of GPS trace data: new techniques and applications