A two-dimensional pedestrian navigation solution aided with a visual gyroscope and a visual odometer

GPS Solutions

Volumn 17, Issue 4, 2013, Pages 575-586

  Ruotsalainen, Laura ^a   Kuusniemi, Heidi ^a   Bhuiyan, Mohammad Zahidul H ^a   Chen, Liang ^a   Chen, Ruizhi ^a  

^a FINNISH GEODETIC INSTITUTE   (Finland)

Author keywords

Gyroscope; Indoor navigation; Odometer; Pedestrian positioning; Smartphone; Vanishing points; Visual aiding

Indexed keywords

IN-DOOR NAVIGATIONS; ODOMETER; PEDESTRIAN POSITIONING; VANISHING POINT; VISUAL AIDING;

CAMERAS; ERRORS; GYROSCOPES; NAVIGATION; SMARTPHONES; TWO DIMENSIONAL; WIRELESS LOCAL AREA NETWORKS (WLAN);

INERTIAL NAVIGATION SYSTEMS;

GNSS; INFRASTRUCTURE; NAVIGATION; PEDESTRIAN; TRACKING; VISUAL CUE;

EID: 84883817628     PISSN: 10805370     EISSN: 15211886     Source Type: Journal    
DOI: 10.1007/s10291-012-0302-8     Document Type: Article

References (25)

1. Allan DW (1966) Statistics of atomic frequency standards. Proceedings of the IEEE, vol 54, no. 2, pp 221-230.
2. Campbell J, Sukthankar R, Nourbakhsh I, Pahwa A (2005) A robust visual odometry and precipice detection system using consumer-grade monocular vision. Proceedings of the IEEE international conference on robotics and automation (ICRA), pp 3421-3427.
3. Coughlan J, Yuille AL (1999) Manhattan world: compass direction from a single image by Bayesian inference. Proceedings of the international conference on computer vision, Corfu, Greece, September, pp 941-947.
4. Fletcher J, Veth M, Raquet J (2007) Real-time fusion of image and inertial sensors for navigation, Proceedings of the 63rd annual meeting of the Institute of Navigation, Cambridge, MA, April, pp 534-544.
5. Gallagher AC (2005) Using vanishing points to correct camera rotation in images. Proceedings of the 2nd Canadian conference on computer and robot vision, May 9-11, IEEE Xplore, pp 460-467. doi: 10. 1109/CRV. 2005. 84.
6. Hartley RI, Sturn P (1997) Triangulation. Comput Vis Image Underst 68(2): 146-157.
7. Hartley R, Zisserman A (2003) Multiple view geometry in computer vision, 2nd edn. Cambridge University Press, Cambridge.
8. Hawkinson W, Samanant, P et al (2012) GLANSER: geospatial location, accountability, and navigation system for emergency responders-system concept and performance assessment. Proceedings of the IEEE/ION position location and navigation symposium (PLANS), Minneapolis, MN, USA, April 23-26, pp 98-105.
9. Hough PVC (1962) Method and means for recognizing complex patterns. US Patent 3069654.
10. Jirawimut R, Prakoonwit S, Cecelja F, Balachandran W (2002) Visual odometer for pedestrian navigation. Proceedings of the IEEE instrumentation and measurement technology conference, Anchorage, AK, USA, May 21-23, pp 43-48.
11. Kessler C, Ascher C, Frietsch N, Weinmann M, Trommer G (2010) Vision-based attitude estimation for indoor navigation using vanishing points and lines. Proceedings of the IEEE/ION PLANS 2010, pp 310-318.
12. Kirkko-Jaakkola M, Collin J, Takala J (2012) Bias prediction for MEMS gyroscopes. IEEE Sens J 12(6): 2157-2163.
13. Kitt B, Rehder J, Chambers A, Schönbein M, Lategahn H, Singh S (2011) Monocular visual odometry using a planar road model to solve scale ambiguity. Proceedings of the 5th European conference on mobile robots (ECMR2011), pp 43-48.
14. Kuusniemi H, Chen L, Ruotsalainen L, Pei L, Chen Y, Chen R (2011) Multi-sensor multi-network seamless positioning with visual aiding. Proceedings of the ICL-GNSS 2011, IEEE Xplore, June 29-30, Tampere, Finland, pp 146-151. doi: 10. 1109/ICL-GNSS. 2011. 5955257.
15. Kuusniemi H, Liu J, Pei L, Chen Y, Chen L, Chen R (2012) Reliability considerations of multi-sensor multi-network pedestrian navigation. IET Radar Sonar Navig 6(3): 157-164.
16. Lowe DG (1999) Object recognition from local scale-invariant features. Proceedings of the international conference on computer vision, Corfu, Greece, September, pp 1150-1157.
17. Moafipoor S (2009), Intelligent personal navigation supported by knowledge-based systems for estimating dead reckoning navigation parameters. Dissertation, The Ohio State University.
18. Moafipoor S, Grejner-Brzezinska DA, Toth CK (2012) Real-time integrity monitoring of a dead reckoning personal navigator using a two-stage neural Kalman filter. J Navig 65(4): 635-649. doi: 10. 1017/S0373463312000240.
19. 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. Proceedings of the ION GNSS 2011, Portland, OR, September 19-23, pp 2906-2913.
20. Ruotsalainen L (2012) Visual Gyroscope and Odometer for Pedestrian Indoor Navigation with a Smartphone. Proceedings of the ION GNSS 2012, Nashville, TN, USA, September 17-21 (in press).
21. Ruotsalainen L, Bancroft J, Lachapelle G (2012) Mitigation of attitude and gyro errors through vision aiding. Proceedings IPIN 2012, Sydney, Australia, November 13-15, IEEE (in press).
22. Santos A, Tarrataca L, Cardoso JMP (2009) An analysis of navigation algorithms for smartphones using J2ME. Proceedings of the MOBILWARE, Berlin, Germany, April 28-29, Springer, pp 266-279.
23. Susi M, Renaudin V, Lachapelle G (2011). Detection of quasi-static instants from handheld MEMS devices. Proceedings of the international conference on indoor positioning and indoor navigation IEEE/IPIN 2011, Guimaraes, Portugal, September 21-23.
24. Torr P, Fitzgibbon A, Zisserman A (1999) The problem of degeneracy in structure and motion recovery from uncalibrated image sequences. Int J Comput Vis 32(1): 27-44.
25. Veth M, Raquet J (2007) Fusion of low-cost imaging and inertial sensors for navigation, technical report, 0704-0188, Air Force Institute of Technology, OH, 11 pp.