Design of a 3D snapshot based visual flight control system using a single camera in hover
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The problem of developing a reliable system for sensing and controlling the hover of a Micro Air Vehicle (MAV) using visual snapshots is considered. The current problem is part of a larger project, which is developing an autonomous MAV, controlled by vision only information. A new algorithm is proposed that uses a stored image of the ground, a snapshot taken of the ground directly under the MAV, as a visual anchor point. The absolute translation of the aircraft and its velocity are then calculated by comparing the subsequent frames with the stored image and fed into the position controller. In order to increase the performance, several issues, such as effects of scale uncertainty on the closed loop stability of the platform are investigated. For controller design and testing purposes, we analytically derive a complete model of a small size helicopter with no stabilizing bar (flybar). The simulation results for 2D and 3D snapshots confirm the effectiveness of the proposed algorithm.
- Ahrens, S., Levine, D., Andrews, G., How, J. (2009) Vision-based guidance and control of a hovering vehicle in unknown, GPS-denied environments. IEEE international conference on robotics and automation, ICRA’09. IEEE Press, New York, pp. 2643-2648 CrossRef
- Amidi, O. (1996). An autonomous vision-guided helicopter. PhD thesis, Dept. of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh.
- Amidi, O., Kanade, T., Fujita, K. (1999) A visual odometer for autonomous helicopter flight. Robotics and Autonomous Systems 28: pp. 185-193 CrossRef
- Beyeler, A., Zufferey, J., Floreano, D. (2007) 3D Vision-based navigation for indoor microflyers. Proceedings of the 2007 IEEE international conference on robotics and automation. pp. 1336-1341 CrossRef
- Blosch, M., Weiss, S., Scaramuzza, D., Siegwart, R. (2010) Vision based MAV navigation in unknown and unstructured environments. IEEE international conference on robotics and automation (ICRA). IEEE Press, New York, pp. 21-28
- Cartwright, B. A., Collet, T. S. (1983) How honey bees use landmarks to guide their return to a food source. Journal of Comparative & Physiological Psychology 151: pp. 521-543 CrossRef
- Cartwright, B. A., Collet, T. S. (1992) Landmark learning in bees. Nature 295: pp. 560 CrossRef
- Castillo, C., Alvis, W., Castillo-Effen, M., Valavanis, K., Moreno, W. (2005) Small scale helicopter analysis and controller design for non-aggressive flights. IEEE international conference on SMC.
- Cherian, A., Andersh, J., Morellas, V., Papanikolopoulos, N., Mettler, B. (2009) Autonomous altitude estimation of a UAV using a single onboard camera. IROS 2009, IEEE/RSJ international conference on intelligent robots and systems. IEEE Press, New York, pp. 3900-3905 CrossRef
- Corke, P. (2004) An inertial and visual sensing system for a small autonomous helicopter. Journal of Robotic Systems 21: pp. 43-51 CrossRef
- Garratt, M. A. (2007). Biologically inspired vision and control for an autonomous helicopter. PhD thesis, Research School of Biological Sciences, Australian National University, Canberra, Australia.
- Garratt, M. A., Chahl, J. S. (2007) An optic flow damped hover controller for an autonomous helicopter. Proceedings of the 22nd international UAV systems conference. pp. 16-18
- Garratt, M. A., Chahl, J. S. (2008) Vision-based terrain following for an unmanned rotorcraft. Journal of Field Robotics 25: pp. 284-301 CrossRef
- Garratt, M. A., Lambert, A., Guillemette, T. (2009) FPGA implementation of an optic flow sensor using the image interpolation algorithm. Proceedings of the Australian conference on robotics and automation.
- Griffiths, S., Saunders, J., Curtis, A., Barber, B., McLain, T., Beard, R. (2006) Maximizing miniature aerial vehicles: obstacle and terrain avoidance for MAVs. IEEE Robotics and Automation Magazine 13: pp. 34-43 CrossRef
- Hung, A., Pickering, M., Garratt, M. A. (2011) Fast image registration using a multi-pass image interpolation approach. 7th international conference on information technology and applications (ICITA 2011).
- Keyence Corporation (2011). Revolutor H-610 operating instructions. http://hobby.keyence.co.jp/english/manual.html. Accessed 1 Nov. 2011.
- Mejias, L., Saripalli, S., Campoy, P., Sukhatme, G. S. (2006) Visual servoing of an autonomous helicopter in urban areas using feature tracking. Journal of Field Robotics 23: pp. 185-199 CrossRef
- Mettler, B. (2003) Identification modeling and characteristics of miniature rotorcraft. Kluwer Academic, Norwell CrossRef
- Mettler, B., Tischler, M. B., Kanade, T., Messner, W. (2000) Attitude control optimization for a small-scale unmanned helicopter. AIAA guidance, navigation and control conference. pp. 40-59
- Padfield, G. D. (2007) Helicopter flight dynamics. Blackwell, Ames CrossRef
- Prouty, R. W. (1990) Helicopter performance, stability, and control. Robert E. Krieger, Melbourne
- Saripalli, S., Montgomery, J. F., Sukhatme, G. S. (2003) Visually guided landing of an unmanned aerial vehicle. IEEE Transactions on Robotics and Automation 19: pp. 371-380 CrossRef
- Shakernia, O., Vidal, R., Sharp, C., Ma, Y., Sastry, S. (2002) Multiple view motion estimation and control for landing an unmanned aerial vehicle. Proceedings of the IEEE international conference on robotics and automation. pp. 2793-2798
- Sharp, C. S., Shakernia, O., Sastry, S. S. (2001) A vision system for landing an unmanned aerial vehicle. IEEE international conference on robotics and automation.
- Srinivasan, M. V. (1994) An image-interpolation technique for the computation of optic flow and egomotion. Biological Cybernetics 71: pp. 401-415 CrossRef
- Zingg, S., Scaramuzza, D., Weiss, S., Siegwart, R. (2010) MAV navigation through indoor corridors using optical flow. IEEE international conference on robotics and automation (ICRA). IEEE Press, New York, pp. 3361-3368
- Design of a 3D snapshot based visual flight control system using a single camera in hover
Volume 34, Issue 1-2 , pp 19-34
- Cover Date
- Print ISSN
- Online ISSN
- Springer US
- Additional Links
- Micro Air Vehicle (MAV)
- Visual guidance
- Optic flow
- Industry Sectors