H. Bai, D. Hsu, M. Kochenderfer, and W. Lee, Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs, Robotics: Science and Systems VII, 2011.
DOI : 10.15607/RSS.2011.VII.001

B. Bonet and H. Geffner, Solving POMDPs: RTDP-bel vs. pointbased algorithms, Proceedings of the 21st international jont conference on Artifical intelligence, IJCAI'09, p.16411646, 2009.

S. Candido and S. Hutchinson, Minimum uncertainty robot navigation using information-guided POMDP planning, 2011 IEEE International Conference on Robotics and Automation, pp.6102-6108, 2011.
DOI : 10.1109/ICRA.2011.5979695
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.467.3297

A. R. Cassandra, L. P. Kaelbling, and J. A. Kurien, Acting under uncertainty: discrete Bayesian models for mobile-robot navigation, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96, 1996.
DOI : 10.1109/IROS.1996.571080

H. Kurniawati, D. Hsu, and W. S. Lee, SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces, Robotics: Science and Systems IV, 2008.
DOI : 10.15607/RSS.2008.IV.009

M. L. Littman, A. R. Cassandra, L. Pack, and . Kaelbling, Learning policies for partially observable environments: Scaling up, International Conference on Machine Learning, pp.362-370, 1995.
DOI : 10.1016/B978-1-55860-377-6.50052-9

A. Scott, Z. A. Miller, E. K. Harris, and . Chong, A POMDP framework for coordinated guidance of autonomous UAVs for multitarget tracking', EURASIP J. Adv. Signal Process, vol.2, pp.1-217, 2009.

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

S. Ross and B. 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.

R. Sabbadin, J. Lang, and N. Ravoanjanahary, Purely epistemic markov decision processes, Proceedings of the 22nd national conference on Artificial intelligence, p.10571062, 2007.

B. L. Saux and M. Sanfourche, 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.

D. Schesvold, J. Tang, B. M. Ahmed, K. Altenburg, and K. E. Nygard, POMDP planning for high level UAV decisions: Search vs. strike, Proceedings of the 16th International Conference on Computer Applications in Industry and Enineering, 2003.

R. D. Smallwood and E. J. Sondik, The Optimal Control of Partially Observable Markov Processes over a Finite Horizon, Operations Research, vol.21, issue.5, pp.1071-1088, 1973.
DOI : 10.1287/opre.21.5.1071

T. Smith and R. G. Simmons, Point-based POMDP algorithms: Improved analysis and implementation, Proc. UAI, 2005.

M. T. Spaan, Cooperative Active Perception using POMDPs', Association for the Advancement of, Artificial Intelligence -AAAI, 2008.

F. Teichteil-konigsbuch, C. Lesire, and G. Infantes, A generic framework for anytime execution-driven planning in robotics, 2011 IEEE International Conference on Robotics and Automation, pp.299-304, 2011.
DOI : 10.1109/ICRA.2011.5980289

J. Wang, Y. Zhang, J. Lu, and W. Xu, 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.
DOI : 10.1007/978-3-642-27866-2_9