An Integrated Online Path Planning and Control Approach for Robotic Sensor Networks
暂无分享,去创建一个
[1] G. Zhang,et al. An Information Roadmap Method for Robotic Sensor Path Planning , 2009, J. Intell. Robotic Syst..
[2] Shuzhi Sam Ge,et al. New potential functions for mobile robot path planning , 2000, IEEE Trans. Robotics Autom..
[3] Yoji Kuroda,et al. Potential Field Navigation of High Speed Unmanned Ground Vehicles on Uneven Terrain , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.
[4] L. Breuer. Introduction to Stochastic Processes , 2022, Statistical Methods for Climate Scientists.
[5] Aubrey B. Poore,et al. A Numerical Study of Some Data Association Problems Arising in Multitarget Tracking , 1994 .
[6] Alfred O. Hero,et al. Applications of entropic spanning graphs , 2002, IEEE Signal Process. Mag..
[7] Kai-Tai Song,et al. Reactive navigation in dynamic environment using a multisensor predictor , 1999, IEEE Trans. Syst. Man Cybern. Part B.
[8] Esther M. Arkin,et al. Angewandte Mathematik Und Informatik Universit at Zu K Oln Approximation Algorithms for Lawn Mowing and Milling Ss Andor P.fekete Center for Parallel Computing Universitt at Zu Kk Oln D{50923 Kk Oln Germany Approximation Algorithms for Lawn Mowing and Milling , 2022 .
[9] Robert F. Stengel,et al. Optimal Control and Estimation , 1994 .
[10] Rafael Fierro,et al. A Geometric Optimization Approach to Detecting and Intercepting Dynamic Targets , 2007, 2007 American Control Conference.
[11] P. B. Coaker,et al. Applied Dynamic Programming , 1964 .
[12] M. Mehrandezh,et al. Sensor-based robot path planning using harmonic function-based probabilistic roadmaps , 2005, ICAR '05. Proceedings., 12th International Conference on Advanced Robotics, 2005..
[13] Daniel E. Koditschek,et al. Exact robot navigation using artificial potential functions , 1992, IEEE Trans. Robotics Autom..
[14] T.A. Wettergren. Performance of search via track-before-detect for distributed sensor networks , 2008, IEEE Transactions on Aerospace and Electronic Systems.
[15] Mark H. Overmars,et al. The Gaussian sampling strategy for probabilistic roadmap planners , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).
[16] DAVID G. KENDALL,et al. Introduction to Mathematical Statistics , 1947, Nature.
[17] K. Kastella,et al. A Comparison of Task Driven and Information Driven Sensor Management for Target Tracking , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.
[18] Keith D. Kastella,et al. Search for optimal sensor management , 1996, Defense, Security, and Sensing.
[19] Nancy M. Amato,et al. Choosing good distance metrics and local planners for probabilistic roadmap methods , 2000, IEEE Trans. Robotics Autom..
[20] Feng Zhao,et al. Scalable Information-Driven Sensor Querying and Routing for Ad Hoc Heterogeneous Sensor Networks , 2002, Int. J. High Perform. Comput. Appl..
[21] Richard M. Murray,et al. Vehicle motion planning using stream functions , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).
[22] Finn V. Jensen,et al. Bayesian Networks and Decision Graphs , 2001, Statistics for Engineering and Information Science.
[23] Wayne W. Schmaedeke. Information-based sensor management , 1993, Defense, Security, and Sensing.
[24] Florent Lamiraux,et al. On the expected complexity of random path planning , 1996, Proceedings of IEEE International Conference on Robotics and Automation.
[25] John W. Fisher,et al. Learning from Examples with Information Theoretic Criteria , 2000, J. VLSI Signal Process..
[26] Ahmad A. Masoud,et al. Managing the Dynamics of a Harmonic Potential Field-Guided Robot in a Cluttered Environment , 2016, IEEE Transactions on Industrial Electronics.
[27] S. Ferrari,et al. Demining sensor modeling and feature-level fusion by Bayesian networks , 2006, IEEE Sensors Journal.
[28] Abdullah Al Mamun,et al. Hierarchical Incremental Path Planning and Situation-Dependent Optimized Dynamic Motion Planning Considering Accelerations , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[29] Colin D. Simpson,et al. Industrial Electronics , 1936, Nature.
[30] Silvia Ferrari,et al. Information-Driven Search Strategies in the Board Game of CLUE $^{\circit{R}}$ , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[31] Alfred O. Hero,et al. Sensor management using an active sensing approach , 2005, Signal Process..
[32] D. L. Hall,et al. Mathematical Techniques in Multisensor Data Fusion , 1992 .
[33] Howie Choset,et al. Path Planning for Robotic Demining: Robust Sensor-Based Coverage of Unstructured Environments and Probabilistic Methods , 2003, Int. J. Robotics Res..
[34] Nils J. Nilsson,et al. Principles of Artificial Intelligence , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[35] Chenghui Cai,et al. Bayesian Network Modeling of Acoustic Sensor Measurements , 2007, 2007 IEEE Sensors.
[36] Eugene S. McVey,et al. Multi-process constrained estimation , 1991, IEEE Trans. Syst. Man Cybern..
[37] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[38] Yoram Koren,et al. Potential field methods and their inherent limitations for mobile robot navigation , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.
[39] Lawrence Carin,et al. Application of the theory of optimal experiments to adaptive electromagnetic-induction sensing of buried targets , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] Chenghui Cai,et al. Comparison of Information-Theoretic Objective Functions for Decision Support in Sensor Systems , 2007, 2007 American Control Conference.
[41] Jean-Claude Latombe,et al. Motion Planning with Uncertainty: A Landmark Approach , 1995, Artif. Intell..
[42] Keith Kastella. Discrimination gain to optimize detection and classification , 1997, IEEE Trans. Syst. Man Cybern. Part A.
[43] Feng Zhao,et al. Information-driven dynamic sensor collaboration , 2002, IEEE Signal Process. Mag..
[44] Kaustubh Pathak,et al. An integrated path-planning and control approach for nonholonomic unicycles using switched local potentials , 2005, IEEE Transactions on Robotics.
[45] Stéphane Perrin,et al. Multisensor fusion in the frame of evidence theory for landmines detection , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[46] Joachim Denzler,et al. Information Theoretic Sensor Data Selection for Active Object Recognition and State Estimation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[47] P. Deb. Finite Mixture Models , 2008 .
[48] Nancy M. Amato,et al. A motion-planning approach to folding: from paper craft to protein folding , 2001, IEEE Transactions on Robotics and Automation.
[49] Tommy Chang,et al. Using a priori data for prediction and object recognition in an autonomous mobile vehicle , 2003, SPIE Defense + Commercial Sensing.
[50] R.L. Streit,et al. Tracking with distributed sets of proximity sensors using geometric invariants , 2004, IEEE Transactions on Aerospace and Electronic Systems.
[51] J. R. Lockwood,et al. Alternatives for landmine detection , 2003 .
[52] Kenneth J. Hintz,et al. A measure of the information gain attributable to cueing , 1991, IEEE Trans. Syst. Man Cybern..
[53] Bernhard Nebel,et al. CS Freiburg: coordinating robots for successful soccer playing , 2002, IEEE Trans. Robotics Autom..
[54] Camillo J. Taylor,et al. Dynamic Sensor Planning and Control for Optimally Tracking Targets , 2003, Int. J. Robotics Res..
[55] Jan Rosell,et al. Path planning using Harmonic Functions and Probabilistic Cell Decomposition , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.
[56] Mark G. Terwilliger,et al. Overview of Sensor Networks , 2004 .
[57] Philip M. Morse,et al. Methods of Operations Research , 1952 .
[58] Howie Choset,et al. Coverage for robotics – A survey of recent results , 2001, Annals of Mathematics and Artificial Intelligence.
[59] Yong Wang,et al. Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet , 2002, ASPLOS X.
[60] Erol Gelenbe,et al. Autonomous search for mines , 1998, Eur. J. Oper. Res..
[61] Wenjie Lu,et al. A randomized hybrid system approach to coordinated robotic sensor planning , 2010, 49th IEEE Conference on Decision and Control (CDC).
[62] Alfred O. Hero,et al. Multi-platform information-based sensor management , 2005, SPIE Defense + Commercial Sensing.
[63] Lydia E. Kavraki,et al. Probabilistic roadmaps for path planning in high-dimensional configuration spaces , 1996, IEEE Trans. Robotics Autom..
[64] Gregory D. Hager. Task-Directed Sensor Fusion and Planning: A Computational Approach , 1990 .
[65] Jan M. H. Hendrickx,et al. Soil effects on thermal signatures of buried nonmetallic landmines , 2003, SPIE Defense + Commercial Sensing.
[66] Günther Schmidt,et al. Path planning and guidance techniques for an autonomous mobile cleaning robot , 1995, Robotics Auton. Syst..
[67] Frank L. Lewis,et al. Control of a nonholonomic mobile robot using neural networks , 1998, IEEE Trans. Neural Networks.
[68] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[69] S. Sitharama Iyengar,et al. Robot navigation in unknown terrains: Introductory survey of non-heuristic algorithms , 1993 .
[70] G. Swaminathan. Robot Motion Planning , 2006 .
[71] José Carlos Príncipe,et al. Information Theoretic Clustering , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[72] Zheng Sun,et al. On Robotic Optimal Path Planning in Polygonal Regions With Pseudo-Euclidean Metrics , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[73] David Hsu,et al. Narrow passage sampling for probabilistic roadmap planning , 2005, IEEE Transactions on Robotics.
[74] C. Mcgilchrist. Estimation in Generalized Mixed Models , 1994 .
[75] B. Faverjon,et al. Probabilistic Roadmaps for Path Planning in High-Dimensional Con(cid:12)guration Spaces , 1996 .
[76] R. Siegel,et al. Land mine detection , 2002 .
[77] David J. Daniels,et al. A review of GPR for landmine detection , 2006 .
[78] R. Fierro,et al. Decentralized cooperative control - A multivehicle platform for research in networked embedded systems , 2007, IEEE Control Systems.
[79] Stefan Berchtold,et al. A scalable optimizer for automatically generated manipulator motions , 1994, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94).
[80] Ming Qian,et al. Probabilistic deployment for multiple sensor systems , 2005, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.
[81] Jing Ren,et al. A hybrid-systems approach to potential field navigation for a multi-robot team , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).
[82] Silvia Ferrari,et al. Information-Driven Sensor Path Planning by Approximate Cell Decomposition , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[83] Rafael Fierro,et al. A geometric optimization approach to tracking maneuvering targets using a heterogeneous mobile sensor network , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.
[84] Gregory D. Hager,et al. Computational Methods for Task-directed Sensor Data Fusion and Sensor Planning , 1991, Int. J. Robotics Res..
[85] David Maxwell Chickering,et al. Learning Bayesian Networks: The Combination of Knowledge and Statistical Data , 1994, Machine Learning.
[86] Nils J. Nilsson,et al. A Formal Basis for the Heuristic Determination of Minimum Cost Paths , 1968, IEEE Trans. Syst. Sci. Cybern..
[87] Mani Srivastava,et al. Overview of sensor networks , 2004 .
[88] Nageswara S. V. Rao,et al. Robot navigation in unknown generalized polygonal terrains using vision sensors , 1995, IEEE Trans. Syst. Man Cybern..
[89] Steven M. LaValle,et al. Planning algorithms , 2006 .
[90] Silvia Ferrari,et al. Probabilistic Track Coverage in Cooperative Sensor Networks , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[91] S.S. Blackman,et al. Multiple hypothesis tracking for multiple target tracking , 2004, IEEE Aerospace and Electronic Systems Magazine.
[92] Silvia Ferrari,et al. An adaptive artificial potential function approach for geometric sensing , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.
[93] Deniz Erdogmus,et al. Generalized information potential criterion for adaptive system training , 2002, IEEE Trans. Neural Networks.
[94] Lawrence Carin,et al. Nonmyopic Multiaspect Sensing With Partially Observable Markov Decision Processes , 2007, IEEE Transactions on Signal Processing.