暂无分享,去创建一个
Yuanqiao Wen | Chunhui Zhou | Changshi Xiao | Zhe Du | Liang Huang | Man Zhu | Shangding Gu | Z. Du | Changshi Xiao | Y. Wen | Chunhui Zhou | Man Zhu | Liang Huang | Shangding Gu
[1] Ning Wang,et al. A multilayer path planner for a USV under complex marine environments , 2019, Ocean Engineering.
[2] He Han-gen,et al. An Improved RRT Path Planning Algorithm , 2010 .
[3] Yuval Tassa,et al. Continuous control with deep reinforcement learning , 2015, ICLR.
[4] Lynne E. Parker,et al. Guest editorial advances in multirobot systems , 2002, IEEE Trans. Robotics Autom..
[5] S. LaValle. Rapidly-exploring random trees : a new tool for path planning , 1998 .
[6] Zhixiang Liu,et al. Unmanned surface vehicles: An overview of developments and challenges , 2016, Annu. Rev. Control..
[7] Jana Fuhrmann,et al. Guidance And Control Of Ocean Vehicles , 2016 .
[8] A.J. Shafer,et al. Autonomous cooperation of heterogeneous platforms for sea-based search tasks , 2008, OCEANS 2008.
[9] Jialun Liu,et al. Distributed coordination for collision avoidance of multiple ships considering ship maneuverability , 2019, Ocean Engineering.
[10] P.H.A.J.M. van Gelder,et al. Generalized velocity obstacle algorithm for preventing ship collisions at sea , 2019, Ocean Engineering.
[11] Alonzo Kelly,et al. Generating near minimal spanning control sets for constrained motion planning in discrete state spaces , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[12] Thor I. Fossen,et al. Marine Control Systems Guidance, Navigation, and Control of Ships, Rigs and Underwater Vehicles , 2002 .
[13] R. Eberhart,et al. Empirical study of particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[14] Y. Hamam,et al. Minimum time-energy trajectory planning for automatic ship berthing , 1995 .
[15] Nils J. Nilsson,et al. A Formal Basis for the Heuristic Determination of Minimum Cost Paths , 1968, IEEE Trans. Syst. Sci. Cybern..
[16] Beom Hee Lee,et al. Grafting: A Path Replanning Technique for Rapidly-Exploring Random Trees in Dynamic Environments , 2012, Adv. Robotics.
[17] Steven M. LaValle,et al. Planning algorithms , 2006 .
[18] Tal Shima,et al. On the discretized Dubins Traveling Salesman Problem , 2017 .
[19] Fan Zhang,et al. Semantic Modelling of Ship Behavior in Harbor Based on Ontology and Dynamic Bayesian Network , 2019, ISPRS Int. J. Geo Inf..
[20] Guo Min. Mobile Robot Optimal Path Planning Based on Smoothing A~* Algorithm , 2010 .
[21] Hong Qu,et al. An improved genetic algorithm with co-evolutionary strategy for global path planning of multiple mobile robots , 2013, Neurocomputing.
[22] Kohei Ohtsu,et al. A Study of Minimum Time Berthing Solutions , 2000 .
[23] Roberto Vettor,et al. Development of a Ship Weather Routing System , 2016 .
[24] 陈佳佳,et al. RRT-based Motion Planning Algorithm for Intelligent Vehicle in Complex Environments , 2015 .
[25] Rosli Omar,et al. Optimal Path Planning using Equilateral Spaces Oriented Visibility Graph Method , 2017 .
[26] C. Guedes Soares,et al. Vector Field Path Following for Surface Marine Vessel and Parameter Identification Based on LS-SVM , 2016 .
[27] Oliver Bittel,et al. Fast grid based collision avoidance for vessels using A∗ search algorithm , 2012, 2012 17th International Conference on Methods & Models in Automation & Robotics (MMAR).
[28] David Furcy,et al. Lifelong Planning A , 2004, Artif. Intell..
[29] Yuanchang Liu,et al. A multi-layered fast marching method for unmanned surface vehicle path planning in a time-variant maritime environment , 2017 .
[30] Peter Dayan,et al. Q-learning , 1992, Machine Learning.
[31] Yuanchang Liu,et al. Smoothed A* algorithm for practical unmanned surface vehicle path planning , 2019, Applied Ocean Research.
[32] Jia-yuan Zhuang,et al. Motion Planning of USV Based on Marine Rules , 2011 .
[33] Daniele Nardi,et al. Multirobot systems: a classification focused on coordination , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[34] Robin R. Murphy,et al. User Interface for Unmanned Surface Vehicles Used to Rescue Drowning Victims , 2018, 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).
[35] Alexandre M. Amory,et al. A Survey on Unmanned Surface Vehicles for Disaster Robotics: Main Challenges and Directions , 2019, Sensors.
[36] David M. Mount,et al. An Output Sensitive Algorithm for Computing Visibility Graphs , 1987, FOCS.
[37] Lei Xie,et al. A path planning approach based on multi-direction A* algorithm for ships navigating within wind farm waters , 2019, Ocean Engineering.
[38] Marco Bibuli,et al. Basic navigation, guidance and control of an Unmanned Surface Vehicle , 2008, Auton. Robots.
[39] S.X. Yang,et al. A neural network approach to complete coverage path planning , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[40] Jiyu Cheng,et al. Semantic-Aware Informative Path Planning for Efficient Object Search Using Mobile Robot , 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[41] F. Dougherty,et al. At-sea testing of an unmanned underwater vehicle flight control system , 1990, Symposium on Autonomous Underwater Vehicle Technology.
[42] Antonios Tsourdos,et al. Voronoi-Visibility Roadmap-based Path Planning Algorithm for Unmanned Surface Vehicles , 2019, Journal of Navigation.
[43] Henk Nijmeijer,et al. Sensing and Control for Autonomous Vehicles , 2017 .
[44] Howie Choset,et al. Principles of Robot Motion: Theory, Algorithms, and Implementation ERRATA!!!! 1 , 2007 .
[45] Liang Hu,et al. A Reactive COLREGs-Compliant Navigation Strategy for Autonomous Maritime Navigation , 2016 .
[46] George York,et al. Ground Target Detection Using Cooperative Unmanned Aerial Systems , 2012, J. Intell. Robotic Syst..
[47] Satyandra K. Gupta,et al. Generation of State Transition Models Using Simulations for Unmanned Sea Surface Vehicle Trajectory Planning , 2011 .
[48] Yuanqiao Wen,et al. Motion planning for Unmanned Surface Vehicle based on Trajectory Unit , 2018 .
[49] Jun Zheng,et al. A weak maximum principle-based approach for input-to-state stability analysis of nonlinear parabolic PDEs with boundary disturbances , 2019, Mathematics of Control, Signals, and Systems.
[50] Agnieszka Lazarowska,et al. A Discrete Artificial Potential Field for Ship Trajectory Planning , 2019, Journal of Navigation.
[51] Yuval Tassa,et al. Emergence of Locomotion Behaviours in Rich Environments , 2017, ArXiv.
[52] Giuseppe Casalino,et al. A three-layered architecture for real time path planning and obstacle avoidance for surveillance USVs operating in harbour fields , 2009, OCEANS 2009-EUROPE.
[53] Anastasios M. Lekkas,et al. Improvements to Warm-Started Optimized Trajectory Planning for ASVs , 2019, ArXiv.
[54] David S. Johnson,et al. Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .
[55] Anastasios M. Lekkas,et al. Autonomous docking using direct optimal control , 2019, ArXiv.
[56] Robin R. Murphy,et al. Introduction to AI Robotics , 2000 .
[57] Brual C. Shah,et al. USV Trajectory Planning for Time Varying Motion Goals in an Environment With Obstacles , 2012 .
[58] Xinping Yan,et al. Multi-objective path planning for unmanned surface vehicle with currents effects. , 2018, ISA transactions.
[59] Satyandra K. Gupta,et al. GPU based generation of state transition models using simulations for unmanned surface vehicle trajectory planning , 2012, Robotics Auton. Syst..
[60] Kohei Shiozawa,et al. Revealed Preference Test and Shortest Path Problem; Graph Theoretic Structure of the Rationalizability Test , 2016 .
[61] Antonios Tsourdos,et al. Efficient path planning algorithms for Unmanned Surface Vehicle , 2016 .
[62] Adi Botea,et al. Near Optimal Hierarchical Path-Finding , 2004, J. Game Dev..
[63] Munsang Kim,et al. Variants of the Quantized Visibility Graph for Efficient Path Planning , 2011, Adv. Robotics.
[64] G. Oriolo,et al. On-line map building and navigation for autonomous mobile robots , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.
[65] Pengfei Chen,et al. Quantitative analysis of COLREG rules and seamanship for autonomous collision avoidance at open sea , 2017 .
[66] Kostas E. Bekris,et al. Sampling-based roadmap of trees for parallel motion planning , 2005, IEEE Transactions on Robotics.
[67] Noboru Sakamoto,et al. Case studies on the application of the stable manifold approach for nonlinear optimal control design , 2013, Autom..
[68] Fumin Zhang,et al. Future Trends in Marine Robotics , 2015 .
[69] Han Jianda,et al. Motion Planning for Robot with Nonholonomic Constraints , 2011 .
[70] Juan F. Jiménez,et al. Optimisation of autonomous ship manoeuvres applying Ant Colony Optimisation metaheuristic , 2012, Expert Syst. Appl..
[71] P. S. Tseng,et al. Path planning on satellite images for unmanned surface vehicles , 2015 .
[72] Robin R. Murphy,et al. Unmanned marine vehicle use at Hurricanes Wilma and Ike , 2009, OCEANS 2009.
[73] Karl D. von Ellenrieder,et al. Station-keeping control of an unmanned surface vehicle exposed to current and wind disturbances , 2016, ArXiv.
[74] Liang Hu,et al. A Multiobjective Optimization Approach for COLREGs-Compliant Path Planning of Autonomous Surface Vehicles Verified on Networked Bridge Simulators , 2020, IEEE Transactions on Intelligent Transportation Systems.
[75] Yan Peng,et al. Sea surface object tracking for USV with spatio-temporal context fusion , 2018 .
[76] T.H Yang,et al. Development of unmanned surface vehicle for water quality monitoring and measurement , 2018, 2018 IEEE International Conference on Applied System Invention (ICASI).
[77] Reda Yaagoubi,et al. AccessVOR: A Semantically Enriched Voronoï-Based Approach for Navigation Assistance of Wheelchair Users in Indoor Environments , 2019, Journal of Navigation.
[78] Hyun Myung,et al. Angular rate-constrained path planning algorithm for unmanned surface vehicles , 2014 .
[79] D. Plimmer,et al. Sensing and Control , 1995 .
[80] Satyandra K. Gupta,et al. Trajectory planning with look-ahead for Unmanned Sea Surface Vehicles to handle environmental disturbances , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[81] Sun Han-bing. Unmanned Surface Vehicle Local Path Planning Based on Marine Radar , 2012 .
[82] Andreas Reason Dahl. Path Planning and Guidance for Marine Surface Vessels , 2013 .
[83] Dong Sun,et al. Coordinated Motion Planning for Multiple Mobile Robots Along Designed Paths With Formation Requirement , 2011, IEEE/ASME Transactions on Mechatronics.
[84] Anastasios M. Lekkas,et al. Guidance and Path-Planning Systems for Autonomous Vehicles , 2014 .
[85] Rudy R. Negenborn,et al. Adaptive control for autonomous ships with uncertain model and unknown propeller dynamics , 2019, Control Engineering Practice.
[86] Yixin Su,et al. Study on intelligent collision avoidance and recovery path planning system for the waterjet-propelled unmanned surface vehicle , 2019 .
[87] Asgeir J. Sørensen,et al. A Voronoi-diagram-based dynamic path-planning system for underactuated marine vessels☆ , 2017 .
[88] Xinyu Zhang,et al. Path Planning of Maritime Autonomous Surface Ships in Unknown Environment with Reinforcement Learning , 2018, ICCSIP.
[89] Lydia E. Kavraki,et al. Motion Planning , 2011, Springer Handbook of Robotics, 2nd Ed..
[90] Yuanqiao Wen,et al. Semantic model of ship behaviour based on ontology engineering , 2018 .
[91] David M. Mount,et al. An output sensitive algorithm for computing visibility graphs , 1987, 28th Annual Symposium on Foundations of Computer Science (sfcs 1987).
[92] Jin Zhao,et al. Collective Dynamics and Control for Multiple Unmanned Surface Vessels , 2019, IEEE Transactions on Control Systems Technology.
[93] Luqi,et al. Unmanned vehicles for anti-submarine warfare , 2016, OCEANS 2016 MTS/IEEE Monterey.
[94] Jinwhan Kim,et al. Path optimization for marine vehicles in ocean currents using reinforcement learning , 2016 .
[95] Edsger W. Dijkstra,et al. A note on two problems in connexion with graphs , 1959, Numerische Mathematik.
[96] Sanjay Sharma,et al. A constrained A* approach towards optimal path planning for an unmanned surface vehicle in a maritime environment containing dynamic obstacles and ocean currents , 2018, Ocean Engineering.
[97] E.T. Steimle,et al. Unmanned Surface Vehicles as Environmental Monitoring and Assessment Tools , 2006, OCEANS 2006.
[98] Hugh Durrant-Whyte. Where am I? A tutorial on mobile vehicle localization , 1994 .
[99] Dejan Milutinovic,et al. A Stochastic Approach to Dubins Vehicle Tracking Problems , 2014, IEEE Transactions on Automatic Control.
[100] A. Lazarowska. Ship's Trajectory Planning for Collision Avoidance at Sea Based on Ant Colony Optimisation , 2015 .
[101] John Canny,et al. The complexity of robot motion planning , 1988 .
[102] Chen Chen,et al. A knowledge-free path planning approach for smart ships based on reinforcement learning , 2019, Ocean Engineering.
[103] Wasif Naeem,et al. A Rule-based Heuristic Method for COLREGS-compliant Collision Avoidance for an Unmanned Surface Vehicle , 2012 .
[104] Roland Siegwart,et al. State Estimation for Shore Monitoring Using an Autonomous Surface Vessel , 2014, ISER.
[105] Pedro Patrón. Semantic-based adaptive mission planning for unmanned underwater vehicles , 2010 .
[106] Sun Han-bing. Global Path Planning of Unmanned Surface Vehicle Based on Electronic Chart , 2011 .
[107] P.H.A.J.M. van Gelder,et al. Velocity obstacle algorithms for collision prevention at sea , 2018 .
[108] Jihong Lee,et al. A Testbed for Predicting Maneuverability of UGV on Rough Terrain , 2013 .
[109] Yuanchang Liu,et al. The angle guidance path planning algorithms for unmanned surface vehicle formations by using the fast marching method , 2016 .
[110] Lydia E. Kavraki,et al. Randomized preprocessing of configuration for fast path planning , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.
[111] T.I. Fossen,et al. Formation Control of Marine Surface Craft: A Lagrangian Approach , 2006, IEEE Journal of Oceanic Engineering.
[112] Robert Sutton,et al. The design of a navigation, guidance, and control system for an unmanned surface vehicle for environmental monitoring , 2008 .
[113] Rudy R. Negenborn,et al. Cooperative Multi-Vessel Systems in Urban Waterway Networks , 2020, IEEE Transactions on Intelligent Transportation Systems.
[114] Yuanqiao Wen,et al. Trajectory-cell based method for the unmanned surface vehicle motion planning , 2019, Applied Ocean Research.
[115] Fumin Zhang,et al. Future Trends in Marine Robotics [TC Spotlight] , 2015, IEEE Robotics & Automation Magazine.
[116] Murat Arcak,et al. Continuous and discrete abstractions for planning, applied to ship docking , 2019, ArXiv.
[117] C. Guedes Soares,et al. Ship trajectory uncertainty prediction based on a Gaussian Process model , 2019, Ocean Engineering.
[118] Ujjwal Maulik,et al. Genetic algorithm-based clustering technique , 2000, Pattern Recognit..