Vision-based landing of light weight unmanned helicopters on a smart landing platform

Journal of Intelligent and Robotic Systems: Theory and Applications

Volumn 61, Issue 1-4, 2011, Pages 251-265

  Mahoor, Mohammad H ^a   Godzdanker, R ^a   Dalamagkidis, K ^a   Valavanis, K P ^a  

^a UNIVERSITY OF DENVER   (United States)

Author keywords

Landing platform; Unmanned helicopter; Vision guided landing

Indexed keywords

ATTITUDE CONTROLLER; AUTOMATIC DETECTION; AUTONOMOUS LANDING; DOCKING SYSTEM; HOMOGRAPHIES; LANDING PLATFORMS; LIGHT WEIGHT; SCALE INVARIANT FEATURE TRANSFORMS; SIFT FEATURE; SINGLE CAMERAS; UNMANNED HELICOPTER; VISION BASED; VISION MODULES;

ATTITUDE CONTROL; CONTROLLERS; DOCKING; LANDING;

HELICOPTERS;

EID: 79951514508     PISSN: 09210296     EISSN: 15730409     Source Type: Journal    
DOI: 10.1007/s10846-010-9496-6     Document Type: Conference Paper

References (15)

1. Shim, H., Koo, T.J., Hoffmann, F., Sastry, S.: A comprehensive study of control design for an autonomous helicopter. In: Proceedings of the 37th IEEE Conference on Decision and Control, Tampa, FL, pp. 3653-3658 (1998)
2. Mullens, K.D., Pacis, E.B., Stancliff, S.B., Burmeister, A.B., Denewiler, T.A. (SAIC), Bruch, M.H., Everett, H.R.: An automated UAV mission system. In: AUVSI Unmanned Systems in International Security 2003 (USIS 03), London, England (2003)
3. Dalamagkidis, K., Ioannou, S., Valavanis, K.P., Stefanakos, E.: A mobile landing platform for miniature vertical take-off and landing vehicles. In: Proceedings of 14th Mediterranean Conference on Control and Automation, Ancona, Italy (2006)
4. Ioannou, S., Dalamagkidis, K., Valavanis, K.P., Stefanakos, E.K., Wiley, P.H.: Improving endurance and range of a UGV with a gimbaled landing platform for small unmanned VTOL vehicles. In: Revised, Submitted to the Journal of Intelligent and Robotic Systems
5. Dickmanns, E.D., Schell, F.R.: Autonomous landing of airplanes using dynamic machine vision. In: Proc. of the IEEE Workshop Applications of Computer Vision, pp. 172-179 (1992)
6. PJ Garcia-Pardo GS Sukhatme JF Montgomery 2001 Towards vision-based safe landing for an autonomous helicopter Robot. Auton. Syst. 38 1 19 29 10.1016/S0921-8890(01)00166-X (Pubitemid 34110166)
7. F Caballero L Merino J Ferruz A Ollero 2009 Vision-based odometry and SLAM for medium and high altitude flying UAVs J. Intell. Robot. Syst. 54 1-3 137 161 10.1007/s10846-008-9257-y
8. Shakernia, O., Vidal, R., Sharp, C., Ma, Y., Sastry, S.: Multiple view motion estimation and control for landing an aerial vehicle. In: Proceedings of the International Conference on Robotics and Automation, ICRA, vol. 3, pp. 2793-2798, IEEE (2002) (Pubitemid 34916309)
9. Vidal, R., Sastry, S., Kim, J., Shakernia, O., Shim, D.: The Berkeley aerial robot project (BEAR). In: Proceeding of the International Conference on Intelligent Robots and Systems, IROS, pp. 1-10. IEEE/RSJ (2002)
10. Lowe, D.G.: object recognition from local scale-invariant features. In: International Conference on Computer Vision, Corfu, Greece, pp. 1150-1157 (1999)
11. D Lowe 2004 Distinctive image features from scale-invariant key points Int. J. Comput. Vis. 60 2 91 110 10.1023/B:VISI.0000029664.99615.94
12. Brown, M.L., Lowe, D.: Recognizing panoramas. In: Proceedings of the 9th IEEE International Conference on Computer Vision (2003)
13. Niebles, J.C., Wang, H., Li, F.-F.: Unsupervised learning of human action categories using spatial-temporal words. In: Proceedings of the British Machine Vision Conference (BMVC) (2006)
14. Se, S.L., David, G., Little, J.: Vision-based mobile robot localization and mapping using scale-invariant features. In: Proceedings of the IEEE International Conference on Robotics and Automation (2001)
15. MA Fischler RC Bolles 1981 Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography Commun. ACM 24 381 395 10.1145/358669.358692 618158 (Pubitemid 12444102)