A. De-notre-connaissance, ce document présente l'une despremì eres implémentations d'une mission de détection et de reconnaissance de cibles basé sur le modèle POMDP pour un UAV autonome. NosétudesNos´Nosétudes ont portée sur la modélisation duprobì eme en tant que POMDP, ce qui nous permet de prendre en compte des actions de perception et d'accomplissement de mission dans un cadre unique ; et, sur l

B. H. Hsu-d and K. M. Lee-w, Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs, Proceedings of Robotics : Science and Systems, 2011.

B. B. Geffner-h, Solving POMDPs : RTDP-bel vs. point-based algorithms, Proceedings of the 21st international jont conference on Artifical intelligence, IJCAI'09, pp.1641-1646, 2009.

C. S. Hutchinson-s, Minimum uncertainty robot navigation using information-guided POMDP planning, ICRA'11, pp.6102-6108, 2011.

C. A. and K. L. Kurien-j, Acting under uncertainty : Discrete Bayesian models for mobile-robot navigation, Proceedings of IEEE/RSJ, 1996.

K. H. Hsu-d and . W. Lee, SARSOP : Efficient point-based POMDP planning by approximating optimally reachable belief spaces, Proc. RSS, 2008.

L. M. and C. A. Pack, Learning policies for partially observable environments : Scaling up, International Conference on Machine Learning, pp.362-370, 1995.

M. S. and H. Z. Chong-e, A POMDP framework for coordinated guidance of autonomous UAVs for multitarget tracking, EURASIP J. Adv. Signal Process, vol.2, pp.1-217, 2009.

O. S. , P. S. Hsu-d, and . W. Lee, POMDPs for robotic tasks with mixed observability, In Robotics : Science and Systems, vol.5, 2009.

P. J. and G. G. Thrun-s, Point-based value iteration : An anytime algorithm for POMDPs, Proc. of IJCAI, 2003.

R. S. Chaib-draa, AEMS : An anytime online search algorithm for approximate policy refinement in large POMDPs, Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07), pp.2592-2598, 2007.

S. R. and L. J. Ravoanjanahary-n, Purely epistemic markov decision processes, Proceedings of the 22nd national conference on Artificial intelligence, pp.1057-1062, 2007.

S. B. Sanfourche-m, Robust vehicle categorization from aerial images by 3d-template matching and multiple classifier system, 7th International Symposium on Image and Signal Processing and Analysis (ISPA), pp.466-470, 2011.

S. D. Tang-j, A. B. , and A. K. Nygard-k, POMDP planning for high level UAV decisions : Search vs. strike, Proceedings of the 16th International Conference on Computer Applications in Industry and Enineering, 2003.

S. R. Sondik-e, The optimal control of partially observable Markov processes over a finite horizon, Operations Research, pp.1071-1088, 1973.

S. T. Simmons-r, Point-based POMDP algorithms : Improved analysis and implementation, Proc. UAI, 2005.

S. M. Vlassis-n, A point-based POMDP algorithm for robot planning A generic framework for anytime execution-driven planning in robotics, IEEE International Conference on Robotics and Automation (ICRA), pp.299-304, 2004.

W. J. Zhang-y and L. J. Xu-w, A Framework for Moving Target Detection, Recognition and Tracking in UAV Videos, Affective Computing and Intelligent Interaction of Advances in Intelligent and Soft Computing, pp.69-76, 2012.