2Goerzen C, Kong Z, Metller B. A Survey of Motion Planning Algorithms from the Perspective of Autonomous UAV Guidance[J]. Journal of Intelligent and Rnbotie Systems, 2010, 57(1-4): 65-100.
3Kuwala Y, How J. Three Dimensional Receding Horizon Control for UAVs[C]. A1AA Guidance, Navigation, and Control Conference and Exhibit. 2004:2100-2113.
5Choset H, BuMiek J. Sensor-based Exploration: The Hierarchical Generalized Vomnoi Graph[J].The International Jounal of Roboties Research, 2000, 19(2): 96-125.
6Cai C, Ferrari S. Information-driven Sensor Path Planning by Approximate Cell Decomposition[J]. IEEE Transaclions on Systems, Man, and Cybernetics - Pro1 B: Cybernetics, 2009 39(3): 672-689.
7Cocaud C, Jnifene A, Kim B. Environment Mapping Using Hybrid Oetree Knowledge for UAV Trajeelory Planning[J]. Canadian Journal of Remote Sensing, 2008, 34(4): 405-417.
8Williams M, Jones D I. A Rapid Me/hod for Planning Paths in Three Dimensions for a Small Aerial Robot[J]. Robotica, 2001, 19(2): 125-135.
9Tsenkov P, Howlett J K, Whalley M, et al. A System for 3d Autonomous Rolorcraft Navigation in Urban Environments[C]. AIAA Guidance, Navigation and Control Cotfference and Exhibit, Honolulu, HI. 2008.
10LaValle S M. Robot Motion Planning: A Game-theoretic Foundation[J]. Algorithmica, 2000, 26(3-4): 430-465.
4Kavraki L E,et al.Analysis of probabilistic road maps for path planning.IEEE Trans Robotics and Automation,1998,14(1):166
5Bohlin R,Kavraki L E.Path planning using lazy PRM.In:Proceedings of the 2000 IEEE International Conference on Robotics and Automation 2000,521
6Frazzoli E,Kay S M,Murphy K P.Real-time motion planning for agile autonomous vehicles.Journal of Guidance,Control and Dynamics.2002,25(1):116
7McConley M W,et al.Hybrid control for aggressive maneuvering of autonomous aerial veicles.In:Proceedings of the 19th Digital Avionics Systems Conference,2000,266
8Murphy K P.Dynamic Bayesian Networks.http://www.ai.mit.edu/murphyk[2004-11-10]
9Pavlovi'c V,et al.A dynamic bayesian network approach to figure tracking using learned dynamic models.In:Intl.Conf.on Computer Vision (ICCV 99),Greece,1999,94
10Pavlovi'c V,Frey B J,Huang T S.Time-series classification using mix-state dynamic bayesian networks.IEEE Trans on Robotics and Automation,1999,16(3):609