Enabling technologies for autonomous MAV operations
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Milan Simic | Mohamed Elbanhawi | Jennifer L. Palmer | A Mohamed | Simon C Watkins | S Watkins | Reece A. Clothier | M. Simic | J. Palmer | M. Elbanhawi | A. Mohamed | R. Clothier
[1] Michael R. Benjamin,et al. Autonomous Underwater Vehicles: Trends and Transformations , 2005 .
[2] Luis Merino,et al. Control and perception techniques for aerial robotics , 2003 .
[3] Jing Chen,et al. Real-time trajectory planning for UCAV air-to-surface attack using inverse dynamics optimization method and receding horizon control , 2013 .
[4] Vijay Kumar,et al. Trajectory generation and control for precise aggressive maneuvers with quadrotors , 2012, Int. J. Robotics Res..
[5] Fethi Belkhouche,et al. Reactive Path Planning for 3-D Autonomous Vehicles , 2012, IEEE Transactions on Control Systems Technology.
[6] Luther N. Jenkins,et al. Stability and Control Properties of an Aeroelastic Fixed Wing Micro Aerial Vehicle , 2001 .
[7] Maxim Likhachev,et al. Planning Long Dynamically Feasible Maneuvers for Autonomous Vehicles , 2008, Int. J. Robotics Res..
[8] Kevin Henry,et al. Development of a Micro Air Vehicle for Maximum Endurance and Minimum Size , 2003 .
[9] Eric W. Frew,et al. Networking Issues for Small Unmanned Aircraft Systems , 2009, J. Intell. Robotic Syst..
[10] Farid Kendoul,et al. Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems , 2012, J. Field Robotics.
[11] Reece A. Clothier,et al. A review of the concept of autonomy in the context of the safety regulation of civil unmanned aircraft systems. , 2013 .
[12] R. Walker,et al. The Smart Skies project , 2011, IEEE Aerospace and Electronic Systems Magazine.
[13] Alessandro Gardi,et al. Multi-objective optimisation of aircraft flight trajectories in the ATM and avionics context , 2016 .
[14] T. Stoffregen,et al. Control of a virtual vehicle influences postural activity and motion sickness. , 2011, Journal of experimental psychology. Applied.
[15] S. LaValle. Rapidly-exploring random trees : a new tool for path planning , 1998 .
[16] Roland Siegwart,et al. Motion‐ and Uncertainty‐aware Path Planning for Micro Aerial Vehicles , 2014, J. Field Robotics.
[17] J. Cermák,et al. Wind-tunnel measurements in the wakes of structures , 1977 .
[18] Rogelio Lozano,et al. An adaptive vision-based autopilot for mini flying machines guidance, navigation and control , 2009, Auton. Robots.
[19] Ella M. Atkins,et al. Aerodynamic sensing for a fixed wing UAS operating at high angles of attack , 2012 .
[20] M Elbanhawi. Randomised parameterisation motion planning for autonomous cars , 2016 .
[21] Oussama Khatib,et al. Real-Time Obstacle Avoidance for Manipulators and Mobile Robots , 1986 .
[22] Wen Li,et al. High-capacity graphene oxide/graphite/carbon nanotube composites for use in Li-ion battery anodes , 2014 .
[23] Peter Corke,et al. An Introduction to Inertial and Visual Sensing , 2007, Int. J. Robotics Res..
[24] Simon Watkins,et al. Development and Flight Testing of a Turbulence Mitigation System for Micro Air Vehicles , 2016, J. Field Robotics.
[25] S. LaValle,et al. Sampling-Based Motion Planning With Differential Constraints , 2005 .
[26] Antonio C. M. Sousa,et al. Prediction of building interference effects on pedestrian level comfort , 2002 .
[27] Wolfram Burgard,et al. 3-D Mapping With an RGB-D Camera , 2014, IEEE Transactions on Robotics.
[28] Jonathan Rose,et al. Measuring the Gap Between FPGAs and ASICs , 2007, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..
[29] Duncan A. Campbell,et al. Fuzzy Multi-Objective Mission Flight Planning in Unmanned Aerial Systems , 2007, 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making.
[30] Jonghyuk Kim,et al. Dual Optic-flow Integrated Navigation forSmall-scale Flying Robots , 2007 .
[31] George K. I. Mann,et al. Behavior-modulation technique in mobile robotics using fuzzy discrete event system , 2006, IEEE Transactions on Robotics.
[32] Reece A. Clothier,et al. Safety risk management of unmanned aircraft systems , 2015 .
[33] Siu-Tsen Shen,et al. HALO the Winning Entry to the DARPA UAVForge Challenge 2012 , 2013, HCI.
[34] Milan Simic,et al. Randomised kinodynamic motion planning for an autonomous vehicle in semi-structured agricultural areas , 2014 .
[35] Mehran Mesbahi,et al. Deconfliction Algorithms for a Pair of Constant Speed Unmanned Aerial Vehicles , 2014, IEEE Transactions on Aerospace and Electronic Systems.
[36] Hugh F. Durrant-Whyte,et al. Multisensor Data Fusion , 2016, Springer Handbook of Robotics, 2nd Ed..
[37] Salah Sukkarieh,et al. An Analytical Continuous-Curvature Path-Smoothing Algorithm , 2010, IEEE Transactions on Robotics.
[38] Cezary Galinski. Gust Resistant Fixed Wing Micro Air Vehicle , 2006 .
[39] Jorge Pomares,et al. A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing , 2014, Sensors.
[40] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[41] Marc Carreras,et al. A survey on coverage path planning for robotics , 2013, Robotics Auton. Syst..
[42] Bruce Randall Donald,et al. On the complexity of kinodynamic planning , 1988, [Proceedings 1988] 29th Annual Symposium on Foundations of Computer Science.
[43] Robin R. Murphy,et al. Disaster Robotics , 2014, Springer Handbook of Robotics, 2nd Ed..
[44] Gökhan Inalhan,et al. A probabilistic B-spline motion planning algorithm for unmanned helicopters flying in dense 3D environments , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[45] Gianmarco Baldini,et al. Survey of Wireless Communication Technologies for Public Safety , 2014, IEEE Communications Surveys & Tutorials.
[46] Kenzo Nonami,et al. Autonomous Flying Robots , 2010 .
[47] Shengyong Chen,et al. Active vision in robotic systems: A survey of recent developments , 2011, Int. J. Robotics Res..
[48] Ruey-Hsun Liang,et al. Optimal Driving Efficiency Design for the Single-Phase Brushless DC Fan Motor , 2010, IEEE Transactions on Magnetics.
[49] Lance W. Traub,et al. Range and Endurance Estimates for Battery-Powered Aircraft , 2011 .
[50] R. Zbikowski,et al. Some problems of micro air vehicles development , 2007 .
[51] Liuping Wang,et al. Automatic tuning of attitude control system for fixed-wing unmanned aerial vehicles , 2016 .
[52] Glenn F. Wilson,et al. Performance Enhancement in an Uninhabited Air Vehicle Task Using Psychophysiologically Determined Adaptive Aiding , 2007, Hum. Factors.
[53] Mario G. Perhinschi,et al. Development of a Modified Voronoi Algorithm for UAV Path Planning and Obstacle Avoidance , 2012 .
[54] S. LaValle,et al. Randomized Kinodynamic Planning , 2001 .
[55] George J. Vachtsevanos,et al. Inventing a Biologically Inspired, Energy Efficient Micro Aerial Vehicle , 2012, J. Intell. Robotic Syst..
[56] Eric Monmasson,et al. FPGAs in Industrial Control Applications , 2011, IEEE Transactions on Industrial Informatics.
[57] Edoardo Charbon,et al. System Tradeoffs in Gamma-Ray Detection Utilizing SPAD Arrays and Scintillators , 2010, IEEE Transactions on Nuclear Science.
[58] Robert J. Kerczewski,et al. Frequency spectrum for integration of unmanned aircraft , 2013, 2013 IEEE/AIAA 32nd Digital Avionics Systems Conference (DASC).
[59] Yash Mulgaonkar,et al. Autonomous charging to enable long-endurance missions for small aerial robots , 2014, Defense + Security Symposium.
[60] Peter Lissaman,et al. Effects of Turbulence on Bank Upsets of Small Flight Vehicles , 2009 .
[61] Rogelio Lozano,et al. A Vision and GPS-Based Real-Time Trajectory Planning for a MAV in Unknown and Low-Sunlight Environments , 2014, J. Intell. Robotic Syst..
[62] H.T. Friis,et al. A Note on a Simple Transmission Formula , 1946, Proceedings of the IRE.
[63] William B. Blake,et al. Framework for developing and evaluating MAV control algorithms in a realistic urban setting , 2005, Proceedings of the 2005, American Control Conference, 2005..
[64] Roland Siegwart,et al. Introduction to Autonomous Mobile Robots , 2004 .
[65] Mark F. Reeder,et al. Flexible- and Rigid-Wing Micro Air Vehicle: Lift and Drag Comparison , 2006 .
[66] David J. Cappelleri,et al. Linear control design, allocation, and implementation for the Omnicopter MAV , 2013, 2013 IEEE International Conference on Robotics and Automation.
[67] Alessandro Gardi,et al. Airborne laser sensors and integrated systems , 2015 .
[68] María José Moure,et al. Features, Design Tools, and Application Domains of FPGAs , 2007, IEEE Transactions on Industrial Electronics.
[69] Akashi Mochida,et al. Prediction of wind environment and thermal comfort at pedestrian level in urban area , 2006 .
[70] Anjan Chakrabarty,et al. Flight Path Planning for UAV Atmospheric Energy Harvesting Using Heuristic Search , 2010 .
[71] Tan Chang,et al. Improving Electric Powered UAVs’ Endurance by Incorporating Battery Dumping Concept , 2015 .
[72] Vijay Kumar,et al. Opportunities and challenges with autonomous micro aerial vehicles , 2012, Int. J. Robotics Res..
[73] P. Lissaman. Wind Energy Extraction by Birds and Flight Vehicles , 2005 .
[74] Christopher R. Baker,et al. A reasoning framework for autonomous urban driving , 2008, 2008 IEEE Intelligent Vehicles Symposium.
[75] Homayoun Seraji,et al. Behavior-based robot navigation on challenging terrain: A fuzzy logic approach , 2002, IEEE Trans. Robotics Autom..
[76] Rodney A. Brooks,et al. A subdivision algorithm in configuration space for findpath with rotation , 1983, IEEE Transactions on Systems, Man, and Cybernetics.
[77] T. Hamel,et al. A practical Visual Servo Control for a Unmanned Aerial Vehicle , 2008, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[78] Reece A. Clothier,et al. The attitude control of fixed-wing MAVS in turbulent environments , 2014 .
[79] Sergey V Shkarayev,et al. Introduction to the Design of Fixed-Wing Micro Air Vehicles: Including Three Case Studies , 2007 .
[80] Nicholas Roy,et al. Efficient planning under uncertainty for a target-tracking micro-aerial vehicle , 2010, 2010 IEEE International Conference on Robotics and Automation.
[81] Lydia E. Kavraki,et al. Probabilistic roadmaps for path planning in high-dimensional configuration spaces , 1996, IEEE Trans. Robotics Autom..
[82] Adam M. Wickenheiser,et al. The development of a closed-loop flight controller with panel method integration for gust alleviation using biomimetic feathers on aircraft wings , 2012, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.
[83] Brian Fast,et al. High Intensity Laser Power Beaming Architecture for Space and Terrestrial Missions , 2011 .
[84] Hui-Min Huang,et al. Autonomy levels for unmanned systems (ALFUS) framework: safety and application issues , 2007, PerMIS.
[85] Pratap Tokekar,et al. Energy‐efficient Path Planning for Solar‐powered Mobile Robots * , 2013, J. Field Robotics.
[86] Hajime Asama,et al. Inevitable collision states — a step towards safer robots? , 2004, Adv. Robotics.
[87] Ehud Rivlin,et al. Spline-Based Robot Navigation , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[88] Takeo Kanade,et al. Efficient Two-phase 3D Motion Planning for Small Fixed-wing UAVs , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[89] David Maxwell Chickering,et al. Learning Bayesian Networks: The Combination of Knowledge and Statistical Data , 1994, Machine Learning.
[90] Alexander Zelinsky,et al. Mobile robot map making using sonar , 1991, J. Field Robotics.
[91] Matthew T. Keennon,et al. Development of the Black Widow Micro Air Vehicle , 2001 .
[92] Zhaodan Kong,et al. A Survey of Motion Planning Algorithms from the Perspective of Autonomous UAV Guidance , 2010, J. Intell. Robotic Syst..
[93] Milan Simic,et al. Randomized Bidirectional B-Spline Parameterization Motion Planning , 2016, IEEE Transactions on Intelligent Transportation Systems.
[94] Steven M. LaValle,et al. Planning algorithms , 2006 .
[95] Eva Besada-Portas,et al. Evolutionary Trajectory Planner for Multiple UAVs in Realistic Scenarios , 2010, IEEE Transactions on Robotics.
[96] Brian Y. Lattimer,et al. Firefighting Robot Stereo Infrared Vision and Radar Sensor Fusion for Imaging through Smoke , 2015 .
[97] Milan Simic,et al. The Role of Path Continuity in Lateral Vehicle Control , 2015, KES.
[98] P. Chevalier,et al. Single-Chip W-band SiGe HBT Transceivers and Receivers for Doppler Radar and Millimeter-Wave Imaging , 2008, IEEE Journal of Solid-State Circuits.
[99] Jan Steckel,et al. BatSLAM: Simultaneous Localization and Mapping Using Biomimetic Sonar , 2013, PloS one.
[100] Sebastian Thrun,et al. Junior: The Stanford entry in the Urban Challenge , 2008, J. Field Robotics.
[101] Milan Simic,et al. Improved manoeuvring of autonomous passenger vehicles: Simulations and field results , 2017 .
[102] J. G. Hurdus,et al. Behavioral programming with hierarchy and parallelism in the DARPA urban challenge and robocup , 2008 .
[103] James F. Whidborne,et al. Direct Method Based Control System for an Autonomous Quadrotor , 2010, J. Intell. Robotic Syst..
[104] Nicolas H. Franceschini,et al. Optic flow regulation: the key to aircraft automatic guidance , 2005, Robotics Auton. Syst..
[105] Alex Doboli,et al. Cities of the Future: Employing Wireless Sensor Networks for Efficient Decision Making in Complex Environments , 2018, ArXiv.
[106] Yu Huang,et al. Very high energy density silicide–air primary batteries , 2013 .
[107] David Furcy,et al. Lifelong Planning A , 2004, Artif. Intell..
[108] Reece A. Clothier,et al. Influence of Turbulence on MAV Roll Perturbations , 2014 .
[109] William H. Snyder,et al. A Comparison of Numerical and Physical Modeling of Stable Atmospheric Flow and Dispersion around a Cubical Building , 1996 .
[110] Sridha Sridharan,et al. Hand-held monocular SLAM in thermal-infrared , 2012, 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV).
[111] W. Frost,et al. A field study of wind over a simulated block building , 1977 .
[112] Sven Behnke,et al. Obstacle detection and navigation planning for autonomous micro aerial vehicles , 2014, 2014 International Conference on Unmanned Aircraft Systems (ICUAS).
[113] Eun-Soo Kim,et al. Preference-Based Solution Selection Algorithm for Evolutionary Multiobjective Optimization , 2012, IEEE Transactions on Evolutionary Computation.
[114] Jean-Claude Latombe,et al. Robot motion planning , 1970, The Kluwer international series in engineering and computer science.
[115] Nicolas H. Franceschini,et al. Bio-inspired optic flow sensors based on FPGA: Application to Micro-Air-Vehicles , 2007, Microprocess. Microsystems.
[116] Reece A. Clothier,et al. Fixed-wing MAV attitude stability in atmospheric turbulence—Part 2: Investigating biologically-inspired sensors , 2014 .
[117] Kazuya Yoshida,et al. Collaborative mapping of an earthquake‐damaged building via ground and aerial robots , 2012, J. Field Robotics.
[118] Timothy W. McLain,et al. Energy Harvesting and Mission Effectiveness for Small Unmanned Aircraft , 2010 .
[119] Franz Andert,et al. Mapping and path planning in complex environments: An obstacle avoidance approach for an unmanned helicopter , 2011, 2011 IEEE International Conference on Robotics and Automation.
[120] Salah Sukkarieh,et al. 3D smooth path planning for a UAV in cluttered natural environments , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[121] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[122] David Anderson,et al. An Evaluation of Current and Future Costs for Lithium-Ion Batteries for Use in Electrified Vehicle Powertrains , 2009 .
[123] Sebastian Scherer,et al. Sparse Tangential Network (SPARTAN): Motion planning for micro aerial vehicles , 2013, 2013 IEEE International Conference on Robotics and Automation.
[124] Anthony Stentz. Optimal and Efficient Path Planning for Unknown and Dynamic Environments , 1993 .
[125] Pascal Lorenz,et al. Wireless communication technologies for ITS applications [Topics in Automotive Networking] , 2010, IEEE Communications Magazine.
[126] Graham Wild,et al. Exploring Civil Drone Accidents and Incidents to Help Prevent Potential Air Disasters , 2016 .
[127] Nicholas Roy,et al. Enabling New Missions for Robotic Aircraft , 2009, Science.
[128] Yim-Fun Hu,et al. A snake-based scheme for path planning and control with constraints by distributed visual sensors , 2013, Robotica.
[129] Jinguo Liu,et al. Evaluation methods for the autonomy of unmanned systems , 2012 .
[130] Russell Tessier,et al. FPGA Architecture: Survey and Challenges , 2008, Found. Trends Electron. Des. Autom..
[131] 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.
[132] Reece A. Clothier,et al. Full-scale flow measurement on a tall building with a continuous-wave Doppler Lidar anemometer , 2016 .
[133] Ian Postlethwaite,et al. A Probabilistically Robust Path Planning Algorithm for UAVs Using Rapidly-Exploring Random Trees , 2013, J. Intell. Robotic Syst..
[134] Frank Ortmeier,et al. Model-Based Local Path Planning for UAVs , 2015, J. Intell. Robotic Syst..
[135] Roland Siegwart,et al. Autonomous miniature flying robots: coming soon! - Research, Development, and Results , 2007, IEEE Robotics & Automation Magazine.
[136] Leonidas J. Guibas,et al. Visibility-polygon search and euclidean shortest paths , 1985, 26th Annual Symposium on Foundations of Computer Science (sfcs 1985).
[137] Dries Verstraete,et al. Performance of a hybrid, fuel-cell-based power system during simulated small unmanned aircraft missions , 2016 .
[138] Milan Simic,et al. Sampling-Based Robot Motion Planning: A Review , 2014, IEEE Access.
[139] Sejin Kwon,et al. Active power management system for an unmanned aerial vehicle powered by solar cells, a fuel cell, and batteries , 2014, IEEE Transactions on Aerospace and Electronic Systems.
[140] Emilio Frazzoli,et al. Massively parallelizing the RRT and the RRT , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[141] E. Skafidas,et al. A 60-GHz transceiver on CMOS , 2008, 2008 International Topical Meeting on Microwave Photonics jointly held with the 2008 Asia-Pacific Microwave Photonics Conference.
[142] Al Savvaris,et al. A Novel Actuation Concept for a Multi Rotor UAV , 2013, 2013 International Conference on Unmanned Aircraft Systems (ICUAS).
[143] Farid Kendoul,et al. Dependable Low‐altitude Obstacle Avoidance for Robotic Helicopters Operating in Rural Areas , 2013, J. Field Robotics.
[144] Alberto Elfes,et al. Sonar-based real-world mapping and navigation , 1987, IEEE J. Robotics Autom..
[145] Saurabh Sinha,et al. Expanding wireless bandwidth in a power-efficient way: developing a viable mm-wave radio technology , 2013, East-West Design & Test Symposium (EWDTS 2013).
[146] Christian Wietfeld,et al. Role-Based Connectivity Management with Realistic Air-to-Ground Channels for Cooperative UAVs , 2012, IEEE Journal on Selected Areas in Communications.
[147] Suman Chakravorty,et al. Generalized Sampling-Based Motion Planners , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[148] Robin R. Murphy,et al. Cooperative use of unmanned sea surface and micro aerial vehicles at Hurricane Wilma , 2008 .
[149] Robert J. Kerczewski,et al. Parameter impact on sharing studies between UAS CNPC satellite transmitters and terrestrial systems , 2015, 2015 Integrated Communication, Navigation and Surveillance Conference (ICNS).
[150] Isabelle Ferain,et al. Multigate transistors as the future of classical metal–oxide–semiconductor field-effect transistors , 2011, Nature.
[151] Wolfram Burgard,et al. Robust Monte Carlo localization for mobile robots , 2001, Artif. Intell..
[152] M. Armand,et al. Building better batteries , 2008, Nature.
[153] Hao Liu,et al. Recent progress in flapping wing aerodynamics and aeroelasticity , 2010 .
[154] Claire J. Tomlin,et al. Quadrotor Helicopter Trajectory Tracking Control , 2008 .
[155] Martial Hebert,et al. Learning monocular reactive UAV control in cluttered natural environments , 2012, 2013 IEEE International Conference on Robotics and Automation.
[156] Reece A. Clothier,et al. Towards Autonomous MAV Soaring in Cities: CFD Simulation, EFD Measurement and Flight Trials , 2015 .
[157] Maxim Likhachev,et al. Path planning for non-circular micro aerial vehicles in constrained environments , 2013, 2013 IEEE International Conference on Robotics and Automation.
[158] Jon A. Peterka,et al. Wind flow patterns about buildings , 1985 .
[159] Jean-Marc Moschetta,et al. Towards a Long Endurance MAV , 2009 .
[160] Pratap Tokekar,et al. Energy-optimal trajectory planning for car-like robots , 2014, Auton. Robots.
[161] Michael Achtelik,et al. Design of a flexible high performance quadcopter platform breaking the MAV endurance record with laser power beaming , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[162] Edoardo Charbon,et al. A 160×128 single-photon image sensor with on-pixel 55ps 10b time-to-digital converter , 2011, 2011 IEEE International Solid-State Circuits Conference.
[163] Bruce T Clough,et al. Metrics, Schmetrics! How The Heck Do You Determine A UAV's Autonomy Anyway , 2002 .
[164] Javaan Chahl,et al. Bioinspired optical sensors for unmanned aerial systems , 2011, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.
[165] Paolo Monti,et al. Particle trajectory simulation of dispersion around a building , 1998 .
[166] P.-A. Besse,et al. Design and characterization of a CMOS 3-D image sensor based on single photon avalanche diodes , 2005, IEEE Journal of Solid-State Circuits.
[167] O. del Río Herrero,et al. A mobile ad-hoc satellite and wireless Mesh networking approach for Public Safety communications , 2008, 2008 10th International Workshop on Signal Processing for Space Communications.
[168] Carlos C. Insaurralde,et al. Autonomy-assessment criteria for underwater vehicles , 2012, 2012 IEEE/OES Autonomous Underwater Vehicles (AUV).
[169] Marc Pollefeys,et al. Autonomous Visual Mapping and Exploration With a Micro Aerial Vehicle , 2014, J. Field Robotics.
[170] Thomas Stützle,et al. Ant Colony Optimization , 2009, EMO.
[171] Anjan Chakrabarty,et al. Energy Maps for Long-Range Path Planning for Small- and Micro - UAVs , 2009 .
[172] Giorgio Guglieri,et al. Path Planning Strategies for UAVS in 3D Environments , 2011, Journal of Intelligent & Robotic Systems.
[173] Simon Watkins,et al. A feasibility study of micro air vehicles soaring tall buildings , 2012 .
[174] Luca Petricca,et al. Micro- and Nano-Air Vehicles: State of the Art , 2011 .
[175] Larry A. Young,et al. System Analysis Applied to Autonomy: Application to High-Altitude Long-Endurance Remotely Operated Aircraft , 2005 .
[176] Butrus T. Khuri-Yakub,et al. Fabrication and characterization of surface micromachined capacitive ultrasonic immersion transducers , 1999 .
[177] V. Lumelsky,et al. Dynamic path planning for a mobile automaton with limited information on the environment , 1986 .
[178] V. Sarihan,et al. Designing small footprint, low-cost, high-reliability packages for performance sensitive MEMS sensors , 2008, 2008 58th Electronic Components and Technology Conference.
[179] Reece A. Clothier,et al. Fixed-wing MAV attitude stability in atmospheric turbulence, part 1: Suitability of conventional sensors , 2014 .
[180] Claude Sammut,et al. GPU accelerated graph SLAM and occupancy voxel based ICP for encoder-free mobile robots , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[181] Christopher D. Wickens,et al. A model for types and levels of human interaction with automation , 2000, IEEE Trans. Syst. Man Cybern. Part A.
[182] John F. Canny,et al. A Voronoi method for the piano-movers problem , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.
[183] Salah Sukkarieh,et al. A Gaussian process-based RRT planner for the exploration of an unknown and cluttered environment with a UAV , 2013, Adv. Robotics.
[184] Kimon P. Valavanis,et al. Evolutionary algorithm based offline/online path planner for UAV navigation , 2003, IEEE Trans. Syst. Man Cybern. Part B.
[185] Kevin D. Jones,et al. Vision-based tracking and motion estimation for moving targets using small UAVs , 2006, 2006 American Control Conference.
[186] Ruud Vullers,et al. A review of the present situation and future developments of micro‐batteries for wireless autonomous sensor systems , 2012 .
[187] J. D. Holmes,et al. Wind Loading of Structures , 2001 .
[188] Dries Verstraete,et al. On the energy efficiency of hydrogen-fuelled transport aircraft , 2015 .
[189] Milan Simic,et al. Receding horizon lateral vehicle control for pure pursuit path tracking , 2018 .
[190] V. Braitenberg. Vehicles, Experiments in Synthetic Psychology , 1984 .
[191] Sebastian Thrun,et al. Anytime search in dynamic graphs , 2008, Artif. Intell..
[192] Roland Siegwart,et al. Vision-Controlled Micro Flying Robots: From System Design to Autonomous Navigation and Mapping in GPS-Denied Environments , 2014, IEEE Robotics & Automation Magazine.
[193] Anjan Chakrabarty,et al. UAV flight path planning in time varying complex wind-fields , 2013, 2013 American Control Conference.
[194] Alonzo Kelly,et al. Rough Terrain Autonomous Mobility—Part 1: A Theoretical Analysis of Requirements , 1998, Auton. Robots.
[195] Sebastian Scherer,et al. Flying Fast and Low Among Obstacles: Methodology and Experiments , 2008, Int. J. Robotics Res..
[196] Cristina Elizetxea,et al. Potential and prospective implementation of carbon nanotubes on next generation aircraft and space vehicles: A review of current and expected applications in aerospace sciences , 2014 .
[197] Simon Watkins,et al. The Soaring Potential of a Micro Air Vehicle in an Urban Environment , 2012 .
[198] Dario Floreano,et al. Fly-inspired visual steering of an ultralight indoor aircraft , 2006, IEEE Transactions on Robotics.
[199] Salah Sukkarieh,et al. Experimental validation of a drogue estimation algorithm for autonomous aerial refueling , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[200] Roland Siegwart,et al. Path planning for motion dependent state estimation on micro aerial vehicles , 2013, 2013 IEEE International Conference on Robotics and Automation.
[201] Jens Leker,et al. Current research trends and prospects among the various materials and designs used in lithium-based batteries , 2013, Journal of Applied Electrochemistry.
[202] Robin J. Evans,et al. Radar-on-a-chip (ROACH) , 2010, 2010 IEEE Radar Conference.
[203] Roland Siegwart,et al. Monocular Vision for Long‐term Micro Aerial Vehicle State Estimation: A Compendium , 2013, J. Field Robotics.
[204] Vijay Kumar,et al. Stochastic differential equation-based exploration algorithm for autonomous indoor 3D exploration with a micro-aerial vehicle , 2012, Int. J. Robotics Res..
[205] J.W. Langelaan. Tree-based trajectory planning to exploit atmospheric energy , 2008, 2008 American Control Conference.
[206] Guangmin Zhou,et al. Progress in flexible lithium batteries and future prospects , 2014 .
[207] Milan N. Simic,et al. Vehicular Ad Hoc Networks , 2013, 2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS).
[208] Peter I. Corke,et al. Robotics, Vision and Control - Fundamental Algorithms in MATLAB® , 2011, Springer Tracts in Advanced Robotics.
[209] Theodore S. Rappaport,et al. Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! , 2013, IEEE Access.
[210] Jong‐Jin Baik,et al. A numerical study of the effects of ambient wind direction on flow and dispersion in urban street canyons using the RNG k–ε turbulence model , 2004 .
[211] Dario Floreano,et al. Miniature curved artificial compound eyes , 2013, Proceedings of the National Academy of Sciences.
[212] J. Sack,et al. Minimum Decompositions of Polygonal Objects , 1985 .
[213] B. Scrosati,et al. Lithium batteries: Status, prospects and future , 2010 .
[214] Robert J. Kerczewski,et al. Assessing spectrum compatibility for beyond-line-of-sight UAS control and non-payload communications , 2014, 2014 Integrated Communications, Navigation and Surveillance Conference (ICNS) Conference Proceedings.
[215] Kris K. Hauser,et al. An empirical study of optimal motion planning , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[216] Dries Verstraete,et al. Hardware-In-The-Loop Simulation of Fuel-Cell-Based Hybrid-Electrical UAV Propulsion , 2012 .
[217] Keith Share,et al. Assessing the improved performance of freestanding, flexible graphene and carbon nanotube hybrid foams for lithium ion battery anodes. , 2014, Nanoscale.