The uses of ambient light for ubiquitous positioning

Record - IEEE PLANS, Position Location and Navigation Symposium

Volumn , Issue , 2014, Pages 102-108

  Liu, Jingbin ^a   Chen, Yuwei ^a   Jaakkola, Anttoni ^a   Hakala, Teemu ^a   Hyyppä, Juha ^a   Chen, Liang ^a   Tang, Jian ^b   Chen, Ruizhi ^c   Hyyppä, Hannu ^d  

^a FINNISH GEODETIC INSTITUTE   (Finland)

^b WUHAN UNIVERSITY   (China)

^c TEXAS A AND M UNIVERSITY CORPUS CHRISTI   (United States)

^d AALTO UNIVERSITY   (Finland)

Author keywords

Ambient intelligence; ambient light positionig; hybrid positioning; indoor navigation; location based service; robot localization; ubiquitous positioning

Indexed keywords

LIGHTING; LOCATION BASED SERVICES; ROBOT APPLICATIONS;

AMBIENT INTELLIGENCE; AMBIENT LIGHT; HYBRID POSITIONING; IN-DOOR NAVIGATIONS; ROBOT LOCALIZATION; UBIQUITOUS POSITIONING;

NAVIGATION;

EID: 84904999365     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PLANS.2014.6851363     Document Type: Conference Paper

References (38)

1. Pei, L., Guinness, R., Chen, R., Liu, J., Kuusniemi, H., Kaistinen, J. (2013), Human Behavior Cognition Using Smartphone Sensors, Sensors 2013, 13(2), 1402-1424; doi:10.3390/s130201402
2. Liu, J., Chen, R., Chen, Y., Pei, L., Chen, L. (2012b), iParking: An Intelligent Indoor Location-Based Smartphone Parking Service. Sensors 2012, 12, 14612-14629.
3. Pei, L., Liu, J., Guinness, R., Chen, Y., Kuusniemi, H., Chen, R. (2012), Using LS-SVM Based Motion Recognition for Smartphone Indoor Wireless Positioning. Sensors 2012, 12(5), 6155-6175.
4. J. Saarinen, "A Sensor-based Personal Navigation System and Its Application for Incorporating Humans into a Human-robot Team," Ph.D. dissertation, Helsinki University of Technology, Finland, 2009.
5. L. Ojeda, &J. Borenstein, "Non-GPS Navigation for Security Personnel and First Responders," Journal of Navigation, 60(3), 391-403, 2007.
6. Liu, J. Hybrid Positioning with Smartphones. in Ubiquitous Positioning and Mobile Location-Based Services in Smart Phones; Chen, R, Eds., IGI Global, USA, 2012; pp. 159-194.
7. Petovello M. (2011). Absolutely relative positioning. InsideGNSS, 2011, 6(3), 32-36.
8. Chen, Y.; Chen, R.; Pei, L.; Kroeger, T.; Chen, W.; Kuusniemi, H.; Liu, L. Knowledge-based error detection and correction method of a multi-sensor multi-network positioning platform for pedestrian indoor navigation. In Proceedings of IEEE/ION PLANS 2010 Conference, May 4-6, 2010, Indian Wells/Palm Springs, CA, US.
9. Liu, J., Chen, R, Pei, L., Guinness, R., Kuusniemi, H. (2012), A hybrid smartphone indoor positioning solution for mobile LBS. Sensors 2012, 12, pp.17208-17233; doi:10.3390/s121217208.
10. Chen, R., Kuusniemi, H., Chen, Y., Pei, L., Chen, W., Liu, J., Leppakoski, H. &Takala, J. Multi-sensor, Multi-Network Positioning. GPS World, 21(2), pp.18-19, 2010
11. Liu, J., Chen, R., Wang, Z., Zhang, H. (2011), Spherical cap harmonic model for mapping and predicting regional TEC. GPS Solutions 2011, 15, 109-119.
12. Pei, L., Chen, R., Liu, J., Chen, W., Kuusniemi, H., Tenhunen, T., Kröger, T., Chen, Y., Leppakoski, H. &Takala, J. (2010), Motion recognition assisted indoor wireless navigation on a mobile phone. Paper presented at the meeting of ION GNSS 2010, pp. 3366-3375, Portland, USA.
13. Pei, L., Chen, R., Liu, J., Liu, Z., Kuusniemi, H., Chen, Y., &Zhu, L. (2011), Sensor assisted 3D personal navigation on a smart phone in GPS degraded environments. In Geoinformatics, 2011 19th International Conference on, Shanghai, China, September June 2011; pp. 1-6.
14. Pei, L., Chen, R., Liu, J., Kuusniemi, H., Chen, Y., Tenhunen, T. (2011), Using Motion-Awareness for the 3D Indoor Personal Navigation on a Smartphone. In Proceedings of the 24rd International Technical Meeting of The Satellite Division of the Institute of Navigation, Portland, OR, USA, 19-23 September 2011; pp. 2906-2912.
15. Pei, L.; Chen, R.; Liu, J.; Tenhunen, T.; Kuusniemi, H.; Chen, Y. Inquiry-Based Bluetooth Indoor Positioning via RSSI Probability Distributions. In Proceedings of The Second International Conference on Advances in Satellite and Space Communications (SPACOMM 2010), Athens, Greece, 13-l9June 2010; pp. 151-156.
16. Pei, L.; Liu, J.; Guinness, R.; Chen, Y.; Kröger, T.; Chen, R.; Chen, L. The Evaluation of WiFi Positioning in a Bluetooth and WiFi Coexistence Environment. In Proceedings of 2nd International Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Service (UPINLBS 2012), Helsinki, Finland, 2-5 October 2012.
17. Krishna Reddy Konda and Nicola Conci Illumination modelling and optimization for indoor video surveillance Proc. SPIE 9020, Computational Imaging XII, 902011 (March 7, 2014); doi:10.1117/12.2039884; http://dx.doi.org/10.1117/12.2039884
18. Ivo M. Creusen ; Solmaz Javanbakhti ; Marijn J. H. Loomans ; Lykele B. Hazelhoff ; Nadejda Roubtsova, et al. ViCoMo: visual context modeling for scene understanding in video surveillance", J. Electron. Imaging. 22(4), http://dx.doi.org/10.1117/1jEI.22.4.041 117
19. Seok-Han Lee. Real-time camera tracking using a particle filter combined with unscented Kalman filters, J. Electron. Imaging. 230), 013029 (Feb 26, 2014). doi:10.1117/1jEI.23.1.013029
20. Robert D. Fiete, Formation of a Digital Image: The Imaging Chain Simplified, 2012, SPIE Press, DOl: 10.1117/3.919698, eISBN: 9780819489777, Print ISBN1 3: 9780819489760
21. Chen, R, Chen, W., Chen, X., Zhang X. &Chen, Y. (2011). Sensing Strides Using EMG Signal for Pedestrian Navigation. GPS Solutions, Vol. 15, pp 161-170.
22. Yuwei Chen, Ruizhi Chen, Xiang Chen, Wei Chen, Wang Qian. Wearable Electromyography Sensor Based Outdoor-Indoor Seamless Pedestrian Navigation Using Motion Recognition Method, In proceeding of IPIN 2011, Guimaraes, Portugal. 21-23 Sept. 2011
23. Qian Wang, Xu Zhang, Xiang Chen, Ruizhi Chen, Wei Chen, Yuwei Chen. A Novel Pedestrian Dead Reckoning Algorithm using Wearable EMG Sensors to Measure Walking Steps. UPINLBS 2010, Helsinki (Kirkkonummi), Finland, 14-15 October, 2010
24. Qian Wang, Yuwei Chen, Xiang Chen, Xu Zhang, Ruizhi Chen , Wei Chen, A Novel Pedestrian Dead Reckoning Algorithm with Motion Recognition using Wearable EMG Sensors, Journal of Global Positioning Systems, Vol. 10, No. 1, pp39-49
25. Chen, W., Chen, R., Chen, X., Zhang, X. Chen, Y. Wang, J. &Fu, Z. (2011). Comparison of EMG-based and Accelerometer-based Speed Estimation Methods in Pedestrian Dead Reckoning. THE JOURNAL OF NAVIGATION (2011), 64, 265-280.
26. Martinez-Carranza J., Mayol-Cuevas W., "Real-time continuous 6D relocalisation for depth cameras," in Workshop on Multi View Geometry in Robotics (MVIGRO'13), Berlin, Germany (2013).
27. Williams B., Klein G., Reid I., "Real-time SLAM relocalisation, " in Proc. IEEE Int. Conf. on Computer Vision, pp. 1-8, IEEE, Rio de Janeiro, Brazil (2007).
28. Eade E., Drummond T., "Scalable monocular SLAM," in Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition, pp. 469-476, IEEE, New York, NewJersey (2006).
29. Arafa, Ahmed, Kiukas, Richard, Holzman, Jonathan F., Jin, Xian, Towards a Practical Indoor Lighting Positioning System, Proceedings of the 25th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS 2012), Nashville, TN, September 2012, pp. 2450-2453.
30. Xiong Gong, Minghong Tong, Yangjun Xia, Wanzhu Cai, Ji Sun Moon, Yong Cao, Gang Yu, Chan-Long Shieh, Boo Nilsson, Alan J. Heeger, High-Detectivity Polymer Photodetectors with Spectral Response from 300 nm to 1450 nm, Science 25 September 2009: Vol. 325 no. 5948 pp. 1665-1667 DOl: 10.1126/science.1 176706
31. Bahl, P., &Padmanabhan, V. (2000). Radar: A in-building RF based user location and tracking system, In Proceedings of IEEE INFOCOM, Tel-Aviv, Israel, pp. 775-784.
32. Kushki, A., Plataniotis, K N. &Venetsanopoulos, A. N. (2007). Kernel-based positioning in Wireless Local Area Networks. IEEE Transactions on Mobile Computing, 6(6), 689-705.
33. Kushki, A., Plataniotis, K N. &Venetsanopoulos, A. N. (2010). Intelligent dynamic radio tracking in indoor wireless local area networks. IEEE Transactions on Mobile Computing, 9(3), 405-419.
34. Youssef, M., Agrawala, A. (2005), The Horns WLAN Location Determination System. In Proceedings of the 3rd International Conference on Mobile Systems, Applications, and Services, New York, NY, USA, 5 June 2005; pp. 205-218.
35. T. Kranjc, Light intensity measurement, Proc. SPIE 6307, Unconventional Imaging II, September 07, 2006, doi:10.1 117/12.681721; http://dx.doi.org/1O.1 117/12.681721
36. Harminder Bajaj, Vikas K Sharma, Devendra S. Kalonia, Determination of Second Virial Coefficient of Proteins Using a Dual-Detector Cell for Simultaneous Measurement of Scattered Light Intensity and Concentration in SEC-HPLC, Biophysical Journal, Volume 87, Issue 6, December 2004, Pages 4048-4055, ISSN 0006-3495, http://dx.doi.org/10.1529/biophysj.104.048686.
37. Horváth, Robert and Skivesen, Nina and Pedersen, Henrik C., Measurement of guided light-mode intensity: An alternative waveguide sensing principle, Applied Physics Letters, 84, 4044-4046 (2004), DOI:http://dx.doi.org/ 1 0.1063/1.1751610
38. Yuwei Chen, Tang Jian, Jingbin Liu, Antonni Jaakkola, Juha Hyyppa, Hannu Hyyppa, Ruizhi Chen, Hang Chen. Knowledge-based Indoor Positioning Based on LiDAR Aided Multiple Sensors System for UGVs. In Proceeding of of IEEE/ION PLANS 2014 Conference, May 5-8, 2014, Monterey, CA, US