Concurrent path and sensor planning for a UAV - Towards an information based approach incorporating models of environment and sensor

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2006, Pages 2436-2442

  Skoglar, Per ^a   Nygards, Jonas ^a   Ulvklo, Morgan ^a  

^a SWEDISH DEFENCE RESEARCH AGENCY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION THEORY; NONLINEAR SYSTEMS; OPTIMIZATION; SENSORS; SPACE SURVEILLANCE; UNMANNED AERIAL VEHICLES (UAV);

CONCURRENT PATH; EXPLORATION MISSION; OPTIMIZATION PROBLEMS; SENSOR PLANNING;

MOTION PLANNING;

EID: 34250663854     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2006.281685     Document Type: Conference Paper

References (22)

1. N. Bergman. Recursive Bayesian Estimation: Navigation and Tracking Applications. PhD thesis, University of Linköping, May 1999.
2. D. P. Bertsekas. Dynamic Programming and Optimal Control: 2nd Edition. Athena Scientific, 2001.
3. Scott A. Bortoff. Path planning for unmanned air vehicles. In American Control Conference, pages 364-368, June 2000.
4. V. Fedorov. Theory of optimal experiments. Academic press, New York ed., 1972.
5. Philip E. Gill, Walter Murray, and M. A Saunders. SNOPT: An SQP algorithm for large-scale constrained optimization. In SIAM J. Optim., volume 12, pages 979-1006, 2002.
6. B. Grocholsky. Information-Theoretic Control of Multiple Sensor Platforms. PhD thesis, The University of Sydney, ACER, March 2002.
7. R. Hamren and M. Brandin. Classification of ground objects using laser radar data. Master's thesis, Linköping University, 2003. LiTH-ISY-EX-337.
8. L. Ingber. Simulated annealing: Practice versus theory. Mathl. Comput. Modelling, 18(11):29-57, 1993.
9. Lester Ingber. Web page of Lester Ingber. http://www.ingber.com/, (2005-09-30).
10. D. Jia and J. Vagners. Parallel evolutionary algorithms for uav path planning. In AIAA 1st Intelligent Systems Technical Conference, September 2004.
11. J. R. Koza. Survey of genetic algorithms and genetic programming. In Proceedings of 1995 WESCON Conference, pages 589-594. IEEE, 1995.
12. A. A. Makarenko, S. B. Williams, F. Bourgault, and H. F Durrant-Whyte. An experiment in integrated exploration. In International Conference on Intelligent Robots and Systems, 2002.
13. J. Manyika and H. Durrant-Whyte. Data Fusion and Sensor Managment: A Decentralized Information-Theoretic Approach. Ellis Horwood, London, 1994.
14. MathWorks, Inc. Optimization Toolbox User's Guide. June 2004. Version 3.0, Fifth printing.
15. J. E. McInroy and G. N. Saridis. Reliable control and sensor fusion in intelligent machines. In IEEE International Conference on Robotics and Automation, volume 1, pages 487-492, 1991.
16. Joseph C. Musto and George N. Saridis. Entropy-based reliability analysis for intelligent machines. IEEE Transactions on Systems, Man and Cybernetics, 27(2):239-244. April 1997.
17. Å. Persson, J. Holmgren, and U. Sderman. Detecting and measuring individual trees using an airborne laser scanner. Photogrammetric Engineering & Remote Sensing, 68:925-932, 2002.
18. L. Piegl and W. Tiller. The NURBS Book. Springer-Verlag, 2nd edition, 1997.
19. N. Roy, W. Burgard, D. Fox, and S. Thrun. Coastal navigation: Robot navigation under uncertainty in dynamic environments. In IEEE International Conference on Robotics and Automation, volume 1, pages 35-40, May 1999.
20. G.N. Saridis, On the theory of intelligent machines: a survey. In Proceedings of the 27th IEEE Conference on Decision and Control, volume 3, pages 1799-1804, 1988.
21. P. Skoglar, J. Nygårds, R. Björström, P. Ögren, J. Hamberg, P. Hermansson, and M. Ulvklo. Path and sensor planning framework applicable to UAV surveillance with EO/IR sensors. Scientific Report FOI-R-1685-SE, ISSN 1650-1942, Swedish Defence Research Agency (FOI), Division of Sensor Technology, SE-581 11 Linköping, Sweden, 2005.
22. Stanford business software inc. Web page. http://www.sbsi-sol-optimize. com/asp/sol_product.snopt.htm, (2005-09-30).