Visual-inertial tracking on Android for Augmented Reality applications

2012 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems, EESMS 2012 - Proceedings

Volumn , Issue , 2012, Pages 35-41

  Porzi, Lorenzo ^a   Ricci, Elisa ^a   Ciarfuglia, Thomas A ^a   Zanin, Michele ^b  

^a UNIVERSITY OF PERUGIA   (Italy)

^b FONDAZIONE BRUNO KESSLER   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AR APPLICATION; AR SYSTEM; AUGMENTED REALITY APPLICATIONS; COMPUTATIONAL RESOURCES; EGO-MOTION ESTIMATION; ENVIRONMENTAL MONITORING; INERTIAL SENSOR; LOCALIZATION ACCURACY; SELF LOCALIZATION; SURROUNDING ENVIRONMENT; VISUAL ODOMETRY; VISUALIZATION TOOLS;

AUGMENTED REALITY; COMPUTER VISION; GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; INERTIAL NAVIGATION SYSTEMS; LAPTOP COMPUTERS; MONITORING; ROBOTS; SIGNAL ENCODING;

SMARTPHONES;

EID: 84870849391     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EESMS.2012.6348402     Document Type: Conference Paper

References (20)

1. M. Trincavelli, M. Reggente, S. Coradeschi, A. Loutfi, H. Ishida, and A. Lilienthal, "Towards environmental monitoring with mobile robots, " in Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on, pp. 2210-2215, sept. 2008.
2. E. Veas, R. Grasset, E. Kruijff, and D. Schmalstieg, "Extended overview techniques for outdoor augmented reality, " Visualization and Computer Graphics, IEEE Transactions on, vol. 18, pp. 565-572, april 2012.
3. M. Clothier and M. Bailey, "Augmented reality visualization tool for kings stormwater bridge, " in IASTED International Conference on Visualization, Imaging and Image Processing (VIIP), 2004.
4. D. Goldsmith, F. Liarokapis, G. Malone, and J. Kemp, "Augmented reality environmental monitoring using wireless sensor networks, " in Proc. of the 12th Int. Conference on Information Visualisation, 2008.
5. G. Klein and D. Murray, "Parallel tracking and mapping for small AR workspaces, " in Proc. Sixth IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR'07), 2007.
6. Eigen. http://eigen. tuxfamily. org/index. php?title= Main-page, 2012.
7. T. K. Yaakov Bar-Shalom, X. Rong Li, Estimation with Applications to Tracking and Navigation: Theory Algorithms and Software. Wiley-Interscience, 2002.
8. E. Rosten and T. Drummond, "Machine learning for high-speed corner detection, " in In European Conference on Computer Vision, 2006.
9. Google INC. Android SDK. http://developer. android. com/ index. html, 2012.
10. J. B. Kuipers, Quaternions and Rotation Sequences: A Primer with Applications to Orbits, Aerospace and Virtual Reality. Princeton University, 2002.
11. G. Klein and D. Murray, "Parallel tracking and mapping on a camera phone, " in Proc. Eigth IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR'09), 2009.
12. "Special issue: 2nd workshop on integration of vision and inertial sensors, " International Journal of Robotic Research, vol. 26, no. 6, pp. 515-517, 2007.
13. F. Mirzaei and S. Roumeliotis, "A kalman filter-based algorithm for imucamera calibration: Observability analysis and performance evaluation, " Robotics, IEEE Transactions on, vol. 24, pp. 1143-1156, oct. 2008.
14. G. Nuetzi, S. Weiss, D. Scaramuzza, and R. Siegwart, "Fusion of imu and vision for absolute scale estimation in monocular slam," Journal of Intelligent and Robotic Systems, vol. 61, pp. 287?299, 2011.
15. T. Oskiper, Z. Zhu, S. Samarasekera, and R. Kumar, "Visual odometry system using multiple stereo cameras and inertial measurement unit, " in In IEEE Conference on CVPR07, 2007.
16. E. Jones and S. Soatto, "Visual-inertial navigation, mapping and localization: A scalable real-time causal approach, " The International Journal of Robotics Research, vol. 30, no. 4, pp. 407-430, 2011.
17. J. Kelly and G. S. Sukhatme, "Visual-inertial sensor fusion: Localization, mapping and sensor-to-sensor self-calibration, " International Journal of Robotics Research, vol. 30, no. 1, pp. 56-79, 2011.
18. M. Mammarella, G. Campa, M. Napolitano, M. L. Fravolini, M. Perhinschi, Y. Gu, "Machine Vision / GPS Integration Using EKF for the UAV Aerial Refueling Problem", IEEE Transactions on Systems, Man, and Cyber and Cybernetics, Part C: Applications and Reviews, vol. 38, no. 6, pp 791-801, 2008.
19. G. Campa, M. Napolitano, M. L. Fravolini, "A Simulation Environment for Machine Vision Based Aerial Refueling for UAV", IEEE Transaction on Aerospace and Electronic Systems, vol. 45, no. 1, pp. 138-151, 2009.
20. E. Ricci and J.-M. Odobez. "Learning large margin likelihoods for realtime head pose tracking", Int. Conf. Image Processing (ICIP), 2009.