Performance characteristics of a complete vision only sense and avoid system

AIAA Guidance, Navigation, and Control Conference 2012

Volumn , Issue , 2012, Pages

  Vanek, Bálint ^a   Péni, Tamás ^a   Zarándy, Ákos ^a   Bokor, József ^a   Zsedrovitsk, Tamás ^b   Roska, Tamás ^b  

^a INSTITUTE FOR COMPUTER SCIENCE AND CONTROL   (Hungary)

^b PÁZMÁNY PÉTER CATHOLIC UNIVERSITY   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

ANTENNAS; EXTENDED KALMAN FILTERS; FLIGHT SIMULATORS; IMAGE PROCESSING; INTELLIGENT SYSTEMS; SIMULATION PLATFORM; UNMANNED AERIAL VEHICLES (UAV);

ESTIMATION APPROACHES; ESTIMATION PERFORMANCE; HARDWAREIN-THE-LOOP(HIL) SIMULATION; PARALLEL IMPLEMENTATIONS; PERFORMANCE CHARACTERISTICS; SENSE AND AVOID SYSTEMS; SMALL UNMANNED AERIAL VEHICLES; UNSCENTED KALMAN FILTER;

MONTE CARLO METHODS;

EID: 85087598333     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2514/6.2012-4703     Document Type: Conference Paper

References (20)

1. Dempsey, M., "U.S. Army Unmanned Aircraft Systems Roadmap 2010-2035, " Tech. rep., U.S. Army UAS Center of Excellence, 2010.
2. DeGarmo, M. T., "Issues Concerning Integration of Unmanned Aerial Vehicles in Civil Airspace, " Tech. rep., MITRE Center for Advanced Aviation System Development, 2004.
3. Cox, T. H., Nagy, C. J., Skoog, M. A., Somers, I. A., and Warner, R., "Civil UAV Capability Assessment, " Tech. rep., NASA Dryden Flight Research Center, 2004.
4. Hutchings, T., Jeffryes, S., and Farmer, S. J., "Architecting UAV sense & avoid systems, " Proc. Institution of Engineering and Technology Conf. Autonomous Systems, 2007, pp. 1-8.
5. Fasano, G., Accardo, D., Forlenza, L., Moccia, A., and Rispoli, A., "A multi-sensor obstacle detection and tracking system for autonomousuav sense and avoid, " XX Congresso Nazionale AIDAA, Milano, 2009.
6. Shakernia, O., Chen, W.-Z., and Raska, M. V. M., "Passive Ranging for UAV Sense and Avoid Applications, " In fotech Aerospace, 2005.
7. Kwakernaak, H. and Sivan., R., Linear optimal control systems., Wiley, 1972.
8. Anderson, B. D. O. and Moore, J. B., Optimal Filtering, Prentice Hall, 1979.
9. Lefebvre, T., Bruyninckx, H., and Schutter, J. D., "Kalman Filters for nonlinear systems: a comparison of performance. " Tech. rep., International Journal of Control, 2001.
10. Julier, S. J. and Uhlmann, J. K., "A New Extension of the Kalman Filter to Nonlinear Systems, " 1997, pp. 182-193.
11. Watanabe, Y., Johnson, E. N., and Calise., A. J., "Stochastically Optimized Monocular Vision-Based Guidance Design. " AIAA Gudance, Navigation and Control Conference, 2007.
12. Watanabe, Y., Stochastically optimized monocular vision-based navigation and guidance, Ph.D. thesis, Georgia Institute of Technology, 2008.
13. Stengel, R. F., Flight Dynamics, Princeton University Press, 2004.
14. Bar-Shalom, Y. and Li, X. R., Estimation and tracking: principles, techniques and software, Artech House, 1993.
15. Hernandez, M. L., "Optimal Sensor Trajectories in Bearings-Only Tracking, " Tech. rep., QinetiQ, 2004.
16. Vanek, B., Péni, T., Zsedrovits, T., Zarándy, A., Bokor, J., and Roska., T., "Performance analysis of a vision only Sense and Avoid system for small UAVs. " AIAA Gudance, Navigation and Control Conference, 2011.
17. Bryner, M., "Developing Sense & Avoid For All Classes of UAS, " UAV 2007 Conference, Paris, 2007.
18. Pratt, W. K., Digital Image Processing: PIKS Inside, PixelSoft Inc., 2001.
19. T. Roska, Kék, L., Nemes, L., and Zarándy, A., CNN Software Library, (Templates and Algorithms), Comp. and Auto. Ins. of the Hung. Acad. of Sci., 1997.
20. Chai, P. Y., Synthesis and Validation of Flight Control for UAV, Ph.D. thesis, University of Minnesota, 2009.