Optimally-informative path planning for dynamic Bayesian classification

Optimization Letters

Volumn 6, Issue 8, 2012, Pages 1627-1642

  Hyun, Baro ^a   Kabamba, Pierre T ^a   Girard, Anouck R ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Bayesian classification; Information; Path planning

Indexed keywords

AMOUNT OF INFORMATION; BAYES' THEOREM; BAYESIAN CLASSIFICATION; CONSTANT ALTITUDE; CONTROL INPUTS; DIFFERENTIAL CONSTRAINTS; INFORMATION; KINEMATIC MODEL; LINEAR CLASSIFIERS; OPTIMAL CONTROL PROBLEM; PERFORMANCE PREDICTION; PRIORI INFORMATION; RELATIVE POSITIONS; SEARCH AREA; STEERING DECISIONS; TARGET DISCRIMINATION;

INFORMATION THEORY; OPTIMAL CONTROL SYSTEMS; SENSORS; UNMANNED AERIAL VEHICLES (UAV);

MOTION PLANNING;

EID: 84869490808     PISSN: 18624472     EISSN: 18624480     Source Type: Journal    
DOI: 10.1007/s11590-011-0354-7     Document Type: Article

References (26)

1. Johnson, J.: Analysis of image forming systems. In: Proceedings of Image Intensifier Symposium, Ft. Belvoir, Virginia, Oct. 1958, Warfare Vision Branch, Electrical Engineering Department, U. S. Army Engineering Branch and Development Laboratories, pp. 249-273.
2. Howe, J. D.: Thermal imaging systems modeling-present status and future challenges. In: Andresen, B. F. (ed.) Proceedings of SPIE Infrared Technology XX, vol. 2269, pp. 538-550 (1994).
3. Friedman, M., Tomkinson, D., Scott, L., O'Kane, B., D'Agostino, J.: Standard night vision thermal modeling parameters. In: Proceedings of SPIE Infrared Imaging Systems: Design, Analysis, Modeling and Testing, vol. 1689, pp. 204-212 (1992).
4. Jain A. K., Duin P. W., Mao J.: Statistical pattern recognition: a review. IEEE Trans. Pattern Anal. Mach. Intell. 22, 1 (2000).
5. Holsapple, R. W., Chandler, P. R., Baker, J. J., Girard, A. R., Pachter, M.: Autonomous decision making with uncertainty for an urban intelligence, surveillance and reconnaissance (ISR) scenario. AIAA Guidance, Navigation and Control Conference and Exhibit, pp. 18-21. Honolulu, HI, USA (2008).
6. Girard, A. R., Dharba, S., Pachter, M., Chandler, P. R.: Stochastic dynamic programming for uncertainty handling in UAV operations. Proceedings of the 2007 American Control Conference, pp. 11-13. New York City, USA (2007).
7. Burdakov O., Doherty P., Holmberg K., Olsson P.-M.: Optimal placement of UV-based communications relay nodes. J. Glob. Optim. 48(4), 511-531 (2010).
8. Harney, R. C.: Information-based approach to performance estimation and requirements allocation in multisensor fusion for target recognition. Optic. Eng. 36(3) (1997).
9. Shannon C.: A Mathematical Theory of Communication. Bell Syst. Tech. J. 27, 379-423 (1948) 623-656.
10. Denzler J., Brown C. M.: Information theoretic sensor data selection for active object recognition and state estimation. IEEE Trans. Pattern Anal. Mach. Intell. 24(2), 145-157 (2002).
11. Kreucher C., Kastella K., Hero A. O.: Sensor management using an active sensing approach. Signal Process. 85, 608-624 (2005).
12. Hirsch M. J., Pardalos P. M., Murphey R.: Dynamics of Information Systems. Springer, Berlin (2010).
13. Hirsch M. J., Commander C., Pardalos P. M., Murphey R.: Optimization and Cooperative Control Strategies, Lecture Notes in Control and Information Sciences, vol. 381. Springer, Berlin (2009).
14. Klesh, A., Girard, A., Kabamba, P.: Path planning for cooperative time-optimal information collection. Proceedings of the 2008 American Control Conference (2008).
15. Klesh, A., Kabamba, P., Girard, A.: Optimal path planning for uncertain exploration. Proceedings of the 2009 American Control Conference (2009).
16. Klesh A., Hyun B., Huntsberger T., Woodward G., Kabamba P., Girard A.: Tactical area search with strapped-down anisotropic sensors Control Group Report CGP 10-05. University of Michigan, Ann Arbor (2010).
17. Cai, C.: Information-driven sensor path planning and the treasure hunt problem. Doctoral dissertation, Department of mechanical engineering and materials science. Duke University (2008).
18. Cai, C., Ferrari, S., Qian, M.: Bayesian network modeling of acoustic sensor measurements. IEEE Sensors Conference 345-348 (2007).
19. Choi, H.-L., How, J. P., Hansen, J. A.: Algorithm and sensitivity analysis of information-theoretic ensemble-based observation targeting. American Meteorological Society Annual Meeting 2008, 19th Conference on Probability and Statistics, New Orleans, LA, USA (2008).
20. Grocholsky, B. L.: Information-theoretic control of multiple sensor platforms. Doctoral Dissertation, Department of Aerospace, Mechatronic and Mechanical Engineering. The University of Sydney (2002).
21. Berger, J. O.: Statistical Decision Theory and Bayesian Analysis. 2nd edn., ISBN 0-387-96098-8 Springer, New York (1985).
22. Leachtenauer, J. C., Driggers, R. G.: Surveillance and Reconnaissance Imaging Systems. Artech House, ISBN 1-58053-132-6 (2001).
23. Thrun S., Burgard W., Fox D.: Probabilistic Robotics. The MIT Press, Cambridge (2005).
24. Hyun, B., Jackson, J., Klesh, A., Girard, A., Kabamba, P.: Robotic exploration with non-isotropic sensors. In: Proceedings of the 2009 AIAA GNC conference (2009).
25. Ross S. M.: Introduction to stochastic dynamic programming. Academic Press INC., New York (1983).
26. Hyun, B., Kabamba, P., Wang, W., Girard, A.: Sequential Bayesian classification decisions for mobile sensors. Proceedings of the 2010 IEEE Conference on Decision and Control (2010).