A visual global positioning system for unmanned aerial vehicles used in photogrammetric applications

Journal of Intelligent and Robotic Systems: Theory and Applications

Volumn 61, Issue 1-4, 2011, Pages 157-168

  Cesetti, Andrea ^a   Frontoni, Emanuele ^a   Mancini, Adriano ^a   Ascani, Andrea ^a   Zingaretti, Primo ^a   Longhi, Sauro ^a  

^a UNIVERSITÀ POLITECNICA DELLE MARCHE   (Italy)

Author keywords

Natural landmark visual matching; Photogrammetric applications; Unmanned aerial vehicles; Visual global positioning system

Indexed keywords

AERIAL IMAGES; DATA SETS; FAILURE RECOVERY; FEATURE TRACKING ALGORITHM; GLOBAL LOCALIZATION; GPS SIGNALS; HELICOPTER SYSTEMS; HIGH RESOLUTION CAMERA; HIGH RESOLUTION SATELLITE IMAGES; LOCAL INFORMATION; NATURAL LANDMARK; NEW OPPORTUNITIES; OPERATING AREA; PHOTOGRAMMETRIC APPLICATIONS; POSITION INFORMATION; POSITION TRACKING; PRIORI KNOWLEDGE; REAL-WORLD IMAGE; REFERENCE IMAGE; SATELLITE IMAGES; SIFT FEATURE; UAV (UNMANNED AERIAL VEHICLE); VISION BASED; VISION SYSTEMS; VISUAL GLOBAL POSITIONING SYSTEM; VISUAL MATCHING; VISUAL ODOMETRY;

AERIAL PHOTOGRAPHY; GLOBAL POSITIONING SYSTEM; IMAGE MATCHING; NAVIGATION SYSTEMS; PHOTOGRAMMETRY; SATELLITES; UNMANNED AERIAL VEHICLES (UAV); VEHICLES;

TRACKING (POSITION);

EID: 79951511981     PISSN: 09210296     EISSN: 15730409     Source Type: Journal    
DOI: 10.1007/s10846-010-9489-5     Document Type: Article

References (26)

1. Amidi, O., Kanade, T., Fujita, K.: A visual odometer for autonomous helicopter fight. In: Proceedings of the Fifth International Conference on Intelligent Autonomous Systems (IAS-5) (1998)
2. Ascani, A., Frontoni, E., Mancini, A., Zingaretti, P.: Feature group matching for appearance-based localization. In: IEEE/RSJ 2008 International Conference on Intelligent RObots and Systems-IROS 2008, Nice (2008)
3. Caballero, F., Merino, L., Ferruz, J., Ollero, A.: A visual odometer without 3D reconstruction for aerial vehicles. applications to building inspection. In: Proceedings of the International Conference on Robotics and Automation, pp. 4684-4689. IEEE (2005)
4. Caballero, F., Merino, L., Ferruz, J., Ollero, A.: Improving vision-based planarmotion estimation for unmanned aerial vehicles through online mosaicing. In: Proceedings of the International Conference on Robotics and Automation, pp. 2860-2865. IEEE (2006) (Pubitemid 44940498)
5. Cesetti, A., Mancini, A., Frontoni, E., Zingaretti, P., Longhi, S.: From simulated to real scenarios: a framework for multi-UAVs. In: Carpin, S., Noda, I., Pagello, E., Reggiani, M., von Stryk, O. (eds.) Simulation, modeling, and programming for autonomous robots, Lecture notes in artificial intelligence, vol. 5325, pp. 17-28. Springer, Heidelberg (2008)
6. A Cesetti E Frontoni A Mancini P Zingaretti S Longhi 2010 A vision-based guidance system for UAV navigation and safe landing using natural landmarks J. Intell. Robot. Syst. 57 1-4 233 257 10.1007/s10846-009-9373-3
7. Conte, G., Doherty, P.: An integrated UAV navigation system based on aerial image matching. In: 2008 IEEE Aerospace Conference, pp. 1-10, (2008)
8. Corke, P.I., Sikka, P., Roberts, J.M.: Height estimation for an autonomous helicopter. In: Proceedings of ISER, pp. 101-110 (2000) (Pubitemid 33312526)
9. 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)
10. H Eisenbeiss K Lambers M Sauerbier 2005 Photogrammetric recording of the archeoligical site of Pinchango Alto (Palpa, Peru) using a mini helicopter (UAV) Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. XXXIV-5/C34 238 243
11. M Fischler R Bolles 1981 Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography CACM. 24 6 381 395 618158 (Pubitemid 12444102)
12. 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)
13. Grant, M.S., Katzberg, S.J., Lawrence, R.W.: GPS remote sensing measurements using aerosonde UAV. In: AIAA 2005-7005, Arlington (2005)
14. Haarbrink R.B., Koers E.: Helicopter UAV for photogrammetry and rapid response. In: 2nd Int. Workshop "The Future of Remote Sensing", ISPRS Inter-Commission Working Group I/V Autonomous Navigation, vol. XXXVI-1/W44 (2006)
15. RB Haarbrink H Eisenbeiss 2008 Accurate DSM production from unmanned helicopter systems Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. XXXVII B1 1259 1264
16. D Lowe 2004 Distinctive image features from scale-invariant keypoints Int. J. Comput. Vis. 60 2 91 110 10.1023/B:VISI.0000029664.99615.94
17. A Mancini A Cesetti A Iaulè E Frontoni P Zingaretti S Longhi 2009 A framework for simulation and testing of UAVs in cooperative scenarios J. Intell. Robot. Syst. 54 1-3 307 329 10.1007/s10846-008-9268-8
18. A Ollero L Merino 2004 Control and perception techniques for aerial robotics Annu. Rev. Control, Elsevier (Francia) 28 167 178
19. S Saripalli JF Montgomery GS Sukhatme 2003 Visually guided landing of an unmanned aerial vehicle IEEE Trans. Robot. Autom. 19 3 371 380 10.1109/TRA.2003.810239
20. Saripalli, S., Sukhatme, G.S.: Landing on a mobile target using an autonomous helicopter. In: Proceedings of the International Conference on Field and Service Robotics, FSR (2003)
21. 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)
22. Srinivasan, M.V., Zhang, S.W., Garrant, M.A.: Landing strategies in honeybees, and applications to UAVs. In: Springer Tracts in Advanced Robotics, pp. 373-384. Springer-Verlag, Berlin (2003)
23. 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)
24. Wu, A.D., Johnson, E.N., Proctor, A.A.: Vision-aided inertial navigation for flight control. In: Proc. of AIAA Guidance, Navigation, and Control Conference and Exhibit (2005)
25. OA Yakimenko II Kaminer WJ Lentz PA Ghyzel 2002 Unmanned aircraft navigation for shipboard landing using infrared vision IEEE Trans. Aerosp. Electron. Syst. 38 4 1181 1200 10.1109/TAES.2002.1145742
26. Zhang, Z., Hintz, K.J.: Evolving neural networks for video attitude and hight sensor. In: Proc. of the SPIE International Symposium on Aerospace/Defense Sensing and Control, vol. 2484, pp. 383-393 (1995)