A survey of optical flow techniques for UAV navigation applications

2013 International Conference on Unmanned Aircraft Systems, ICUAS 2013 - Conference Proceedings

Volumn , Issue , 2013, Pages 710-716

  Chao, Haiyang ^a   Gu, Yu ^a   Napolitano, Marcello ^a  

^a West Virginia University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CURRENT RESEARCH STATUS; FLOW MOTION; FUTURE RESEARCH DIRECTIONS; NAVIGATION FUNCTIONS; NAVIGATION SOLUTION; OPTICAL FLOW TECHNIQUES; SENSOR HARDWARE;

NAVIGATION; OPTICAL FLOWS; SURVEYS;

UNMANNED AERIAL VEHICLES (UAV);

EID: 84883116816     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICUAS.2013.6564752     Document Type: Conference Paper

References (50)

1. H. Chao, Y. Cao, and Y. Q. Chen, "Autopilots for small unmanned aerial vehicles: A survey," International Journal of Control, Automation, and Systems, vol. 8, no. 1, pp. 36-44, 2010
2. J. Chahl, M. V. Srinivasan, and S. W. Zhang, "Landing strategies in honeybees and applications to uninhabited airborne vehicles," Int. Journal of Robotics Research, vol. 23, no. 2, pp. 101-110, 2004
3. H. E. Esch and J. E. Burns, "Distance estimation by foraging honeybees," The Journal of Experimental Biology, vol. 199, pp. 155-162, 1996
4. M. V. Srinivasan, "Honeybees as a model for the study of visually guided flight, navigation, and biologically inspired robotics," Physiological Review, vol. 91, pp. 389-411, 2011
5. A. Torii, A. Imiya, H. Sugaya, and Y. Mochizuki, "Optical flow computation for compound eyes: Variational analysis of omni-directional views," Brain, Vision, and Artificial Intelligence, Lecture Notes in Computer Science, vol. 3704, pp. 527-536, 2005
6. B. D. Lucas and T. Kanade, "An iterative image registration technique with an application to stereo vision," 1981
7. B. Horn and B. Schunck, "Determining optical flow," Artificial Intelligence, vol. 17, pp. 185-203, 1981
8. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," International Journal of Computer Vision, vol. 60, no. 2, pp. 91-110, 2004
9. M. V. Srinivasan, "An image interpolation technique for the computation of optical flow and egomotion," Biological Cybernetics, vol. 71, pp. 401-415, 1994
10. S. Baker, D. Scharstein, J. Lewis, S. Roth, M. J. Black, and R. Szeliski, "A database and evaluation methodology for optical flow," Internatioanl Journal of Computer Vision, vol. 92, no. 1, pp. 1-31, 2011
11. S. Griffiths, J. Saunders, A. Curtis, B. Barber, T. McLain, and R. Beard, "Maximizing miniature aerial vehicles: Obstacle and terrain avoidance for mavs," IEEE Robotics & Automation Magazine, vol. 13, no. 3, pp. 34-43, 2006
12. J. C. Zufferey and D. Floreano, "Toward 30-gram autonomous indoor aircraft: Vision-based obstacle avoidance and altitude control," in Proceedings of the IEEE International Conference on Robotics and Automation, Barcelona, Spain, April 2005, pp. 2594-2599
13. G. Barrows, C. Neely, and K. Miller, Fixed and Flapping wing Aerodynamics for Micro Air Vehicle Application. AIAA, 2001, vol. 23, ch. Optic Flow Sensors for MAV Navigation, pp. 557-573
14. W. Ding, J. Wang, S. Han, A. Almagbile, M. A. Garratt, A. Lambert, and J. J. Wang, "Adding optical flow into the gps/ins integration for UAV navigation," in Proceedings of the International Global Navigation Satellite Systems Society IGNSS Symposium, Holiday Inn Surfers Paradise, Qld, Australia, December 2009
15. B. Herisse, T. Hamel, R. Mahony, and F.-X. Russotto, "Landing a VTOL unmanned aerial vehicle on a moving platform using optical flow," IEEE Trans. Robotics, vol. 28, no. 1, pp. 77-89, 2012
16. D. Soccol, S. Thurrowgood, and Y. Srinivasan, "A vision system for optic-flow-based guidance of UAVs," in Proceedings of the Australasian Conference on Robotics and Automation, Brisbane, Australia, December 2007
17. CentEye Inc., "Cent Eye website," http://embeddedeye.com/ profiles/blogs/open-source-xmos-daughter 2013
18. J. Kim and G. Brambley, "Dual optic-flow integrated navigation for small-scale flying robots," in Proceedings of the Australasian Conference on Robotics and Automation, Brisbane, Australia, December 2007
19. A. M. Hyslop and J. S. Humbert, "Autonomous navigation in threedimensional urban environments using wide-field integration of optic flow," Journal of Guidance, Control, and Dynamics, vol. 33, no. 1, pp. 147-159, 2011
20. M. Mammarella, G. Campa, M. Fravolini, Y. Gu, B. Seanor, and M. Napolitano, "A comparison of optical flow algorithms for real time aircraft guidance and navigation," in Proceedings of the AIAA Guidance, Navigation, and Control Conference, Honolulu, HI, USA, August 2008
21. A. Arvai, J. Kehoe, and R. Lind, "Vision-based navigation using multirate feedback from optic flow and scene reconstruction," Aeronautical Journal, vol. 115, no. 1169, pp. 411-420, 2011
22. H. Chao, Y. Gu, J. Gross, G. Guo, M. L. Fravolini, and M. R. Napolitano, "A comparative study of optical flow and traditional sensors in UAV navigation," in Proceedings of the American Control Conference, Washington DC, June 2013, p. to appear
23. J. J. Koenderink and A. J. van Doorn, "Facts on optical flow," Biological Cybernetics, vol. 56, no. 4, pp. 247-254, 1987
24. J.-C. Zufferey, A. Beyeler, and D. Floreano, "Autonomous flight at low altitude using light sensors and little computational power," International Journal of Micro Air Vehicles, vol. 2, no. 2, pp. 107-117, 2010
25. S. Roth and M. J. Black, "On the spatial statistics of optical flow," Internatioanl Journal of Computer Vision, vol. 74, no. 1, pp. 33-50, 2007
26. M. J. Black and P. Anandan, "The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields," Computer Vision and Image Understanding, vol. 63, no. 1, pp. 75-104, 1996
27. O. Tretiak and L. Pastor, "Velocity estimation from image sequences with second order differential operators," in Proceedings of the International Conference on Pattern Recognition, Montreal, Canada, 1984
28. P. Anandan, "A computational framework and an algorithm for the measurement of visual motion," International Journal of Computer Vision, vol. 2, no. 3, pp. 283-310, 1989
29. D. Fleet and A. Jepson, "Computation of component image velocity from local phase information," International Journal of Computer Vision, vol. 5, no. 1, pp. 77-104, 1990
30. J. Sun, H.-Y. Shum, and N. Zheng, "Stereo matching using belief propagation," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 25, no. 7, pp. 787-800, 2003
31. D. Chen, H. Sheng, Y. Chen, and D. Xue, "Fractional-order variational optical flow model for motion estimation," Phil. Trans. R. Soc. A., pp. 107-117, 2013, doi:10.1098/rsta.2012.0148
32. J. Barron, D. Fleet, and S. Beauchemin, "Performance of optical flow techniques," Internatioanl Journal of Computer Vision, vol. 12, no. 1, pp. 43-77, 1994
33. J. C. Zufferey and D. Floreano, "Optic-flow-based steering and altitude control for ultra-light indoor aircraft," EPFL, Report LIS-REPORT-2004-001, 2004
34. F. Kendoul, I. Fantoni, and K. Nonami, "Optic flow-based vision system for autonomous 3d localization and control of small aerial vehicles," Robotics and Autonomous Systems, vol. 57, no. 6, pp. 591-602, 2009
35. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," International Journal of Computer Vision, vol. 2, no. 60, pp. 91-110, 2004
36. Alison Leonard, "Embedded eye blog," [http://centeye.com/], 2013
37. E. Slatyer, R. Mahony, and P. Corke, "Terrain following using wide field optic flow," in Proceedings of the Australasian Conference on Robotics and Automation, Brisbane, Australia, December 2007
38. D. Honegger, L. Meier, P. Tanskanen, and M. Pollefeys, "An open source and open hardware embedded metric optical flow cmos camera for indoor and outdoor applications," in Proceedings of the IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, May 2013
39. D. Watman and H. Murayama, "Design of a miniature, multidirectional optical flow sensor for micro aerial vehicles," in Proceedings of the IEEE International Conference on Robotics and Automation, Shanghai, China, May 2011
40. D. Honegger, L. Meier, P. Tanskanen, P. Greisen, and M. Pollefeys, "Real-time velocity estimation based on optical flow and disparity matching," in Proceedings of the IEEE International Conference on Robotics and Automation, Vilamoura, Algarve, Portugal, May 2012
41. M. Mammarella, G. Campa, M. Fravolini, and M. Napolitano, "Comparing optical flow algorithms using 6-dof motion of real-world rigid objects," IEEE Trans. Systems, Man, and Cybernetics, Part C: Applications and Reviews, vol. 42, no. 6, pp. 1752-1762, 2012
42. J. J. Kehoe, A. S. Watkins, R. S. Causey, and R. Lind, "State estimation using optical flow from parallax-weighted feature tracking," in Proceedings of the AIAA Guidance, Navigation, and Control Conference, Keystone, Colorado, USA, August 2006
43. R. F. Vassallo, J. Santos-Victor, and H. J. Schneebeli, "A general approach for egomotion estimation with omnidirectional images," in Proceedings of the Third Workshop on Omnidirectional Vision, Washinton DC, USA, 2002
44. H. Romero, S. Salazar, and R. Lozano, "Real-time stabilization of an eight-rotor UAV using optical flow," IEEE Trans. Robotics, vol. 25, no. 4, pp. 809-817, 2009
45. M. A. Garratt and J. S. Chahl, "Vision-based terrain following for an unmanned rotorcraft," J. Field Robot., vol. 25, no. 7, pp. 284-301, 2008
46. F. Ruffier and N. Franceschini, "Optic flow regulation: The key to aircraft automatic guidance," Robot. Auton. Syst., vol. 50, no. 7, pp. 177-194, 2005
47. J. S. Humbert, R. M. Murray, and M. H. Dickinson, "Pitch-altitude control and terrain following based on bio-inspired visuomotor convergence," in Proceedings of the AIAA Guidance, Navigation, and Control Conference, San Francisco, CA, USA, August 2005
48. B. Herisse, F.-X. Russotto, T. Hamel, and R. Mahony, "Hovering flight and vertical landing control of a VTOL unmanned aerial vehicle using optical flow," in Proceedings of the IEEE International Conference on Intelligent Robotics and Systems, Nice, France, September 2008, pp. 801-806
49. M. Lalonde, D. Byrns, L. Gagnon, and D. Laurendeau, "Real-time eye blink detection with gpu-based sift tracking," in Fourth Canadian Conference on Computer and Robot Vision, 2007
50. H. Feng, E. Q. Li, Y. Chen, and Y. Zhang, "Parallelization and characterization of sift on multi-core systems," in IEEE International Symposium on Workload Characterization, 2008, pp. 14-23.