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Handbook of Unmanned Aerial Vehicles

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Cover of 'Handbook of Unmanned Aerial Vehicles'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 3 UAV Localization Using Inertial Sensors and Satellite Positioning Systems
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    Chapter 5 Inertial Sensor-Based Simultaneous Localization and Mapping for UAVs
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    Chapter 6 Sensors for Missions
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    Chapter 7 Data Fusion and Tracking with Multiple UAVs
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    Chapter 9 Development of Insect-Sized MAVs
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    Chapter 11 Flapping-Wing Propelled Micro Air Vehicles
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    Chapter 12 Issues Surrounding Communications with Micro Air Vehicles
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    Chapter 14 Cooperative Mission and Path Planning for a Team of UAVs
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    Chapter 16 Cooperative Mission Planning for Multi-UAV Teams
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    Chapter 17 Multi-team Consensus Bundle Algorithm
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    Chapter 18 Health Monitoring of a Drone Formation Affected by a Corrupted Control System
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    Chapter 19 Control of Communication Networks for Teams of UAVs
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    Chapter 20 Innovative Collaborative Task Allocation for UAVs
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    Chapter 22 UAV Operators Workload Assessment by Optical Brain Imaging Technology (fNIR)
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    Chapter 23 Human Factors Perspective on Next Generation Unmanned Aerial Systems
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    Chapter 26 Cognitive Task Analysis for Unmanned Aerial System Design
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    Chapter 27 Coordinated Convoy Protection Among Teams of Unmanned Aerial Vehicles
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    Chapter 28 UAV Routing and Coordination in Stochastic, Dynamic Environments
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    Chapter 29 Decentralized Multi-UAV Coalition Formation with Limited Communication Ranges
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    Chapter 30 Problem of UAV Communications
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    Chapter 31 Cognitive Radio Architectures for Unmanned Aircraft Systems
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    Chapter 32 Cognitive Networking for UAV Swarms
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    Chapter 33 Layered Approach to Networked Command and Control of Complex UAS
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    Chapter 34 UAV Swarms: Models and Effective Interfaces
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    Chapter 35 Hazard and Safety Risk Modeling
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    Chapter 36 Human Factors of Unmanned Aircraft System Integration in the National Airspace System
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    Chapter 37 Standards and Certification of a UAS Sense and Avoid Capability
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    Chapter 38 Certification of Small UAS
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    Chapter 39 Safety Risk Management of Unmanned Aircraft Systems
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    Chapter 40 Automated Failure Effect Analysis for PHM of UAV
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    Chapter 41 Experimental Validation of Fault Detection and Diagnosis for Unmanned Aerial Vehicles
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    Chapter 42 Fault Detection and Diagnosis for NASA GTMUAV with Dual Unscented Kalman Filter
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    Chapter 43 Actuator Fault Detection in UAVs
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    Chapter 45 Fault Diagnosis of Skew-Configured Inertial Sensor System for Unmanned Aerial Vehicles
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    Chapter 46 Integrated Vehicle Health and Fault Contingency Management for UAVs
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    Chapter 47 Prognostics Applied to Electric Propulsion UAV
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    Chapter 49 Linear Flight Control Techniques for Unmanned Aerial Vehicles
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    Chapter 50 Robust and Adaptive Control Methods for Aerial Vehicles
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    Chapter 53 Kinematics and Dynamics of Fixed-Wing UAVs
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    Chapter 54 Dynamic Model for a Miniature Aerobatic Helicopter
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    Chapter 55 Dynamics and Control of Flapping Wing MAVs
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    Chapter 56 Principles of Guidance, Navigation, and Control of UAVs
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    Chapter 58 Integrated Hardware/Software Architectures to Enable UAVs for Autonomous Flight
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    Chapter 59 UAV Guidance Algorithms via Partially Observable Markov Decision Processes
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    Chapter 60 Distributed Optimization of Autonomous UAVs with Event-Driven Communication
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    Chapter 61 Adaptive Control of Unmanned Aerial Vehicles: Theory and Flight Tests
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    Chapter 62 Technology Surveys and Regulatory Gap Analyses of UAS Subsystems Toward Access to the NAS
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    Chapter 63 A Certification Strategy for Small Unmanned Aircraft Performing Nomadic Missions in the U.S. National Airspace System
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    Chapter 65 Test Flights to Demonstrate Effectiveness of a Ground-Based Detect and Avoid Integration Concept
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    Chapter 66 Development of a Regulatory Safety Baseline for UAS Sense and Avoid
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    Chapter 67 Automatic Traffic Alert and Collision Avoidance System (TCAS) Onboard UAS
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    Chapter 69 Methodologies for Regulatory Compliance and Harmonization
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    Chapter 70 Assessment of Detect and Avoid Solutions for Use of Unmanned Aircraft Systems in Nonsegregated Airspace
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    Chapter 71 Quadrotor Kinematics and Dynamics
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    Chapter 72 Autonomous Remote Sensing of Invasive Species from Robotic Aircraft
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    Chapter 73 Selection of Appropriate Class UAS/Sensors to Support Fire Monitoring: Experiences in the United States
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    Chapter 74 Cooperative Unmanned Aerial Systems for Fire Detection, Monitoring, and Extinguishing
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    Chapter 75 Unmanned Aircraft Systems for Maritime Operations
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    Chapter 76 Measurement and Exploration in Volcanic Environments
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    Chapter 77 Unmanned Aerial Systems Physically Interacting with the Environment: Load Transportation, Deployment, and Aerial Manipulation
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    Chapter 78 Achieving Sense and Avoid for Unmanned Aircraft Systems: Assessing the Gaps for Science and Research
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    Chapter 79 UAV Logistic Support Definition
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    Chapter 80 From Research to Operations: The PITVANT UAS Training Experience
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    Chapter 81 Information-Theoretic Exploration of Unmanned Aerial Vehicle in Unknown Cluttered Environment
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    Chapter 82 Cooperative Task Assignment and Path Planning for Multiple UAVs
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    Chapter 83 Small UAV Design Development and Sizing
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    Chapter 84 UAV Handbook: Payload Design of Small UAVs
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    Chapter 87 Nonlinear Flight Control Techniques for Unmanned Aerial Vehicles
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    Chapter 88 Display and Control Concepts for Multi-UAV Applications
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    Chapter 89 UAV Logistics for Life-Cycle Management
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    Chapter 90 Survey of the Human-Centered Approach to Micro Air Vehicles
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    Chapter 91 Introduction to the Handbook on UAVs
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    Chapter 92 Definitions and Terminology
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    Chapter 93 Aviation History and Unmanned Flight
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    Chapter 94 Classification of UAVs
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    Chapter 95 Future of Unmanned Aviation
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    Chapter 96 Military and Civilian Unmanned Aircraft
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    Chapter 97 Ethics and UAVs
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    Chapter 98 Killer Robots: Ethical Issues in the Design of Unmanned Systems for Military Applications
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    Chapter 99 Moral Predators: The Duty to Employ Uninhabited Aerial Vehicles
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    Chapter 100 The Moral Case for Autonomy in Unmanned Systems
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    Chapter 101 The Moral Case Against Autonomous and Semiautonomous UAVs
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    Chapter 102 International Governance of Autonomous Military Robots
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    Chapter 103 Ethical Issues of UAVs for National Academy of Sciences
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    Chapter 104 Micro Air Vehicles
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    Chapter 105 Concept of Operations of Small Unmanned Aerial Systems: Basis for Airworthiness Towards Personal Remote Sensing
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    Chapter 106 Cyber-Physical Systems Enabled by Small Unmanned Aerial Vehicles
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    Chapter 108 Modeling of a Micro UAV with Slung Payload
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    Chapter 109 Aviation Regulation
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    Chapter 110 Command and Control of Autonomous Unmanned Vehicles
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    Chapter 111 Flight Dynamics Modeling of Coaxial Rotorcraft UAVs
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    Chapter 112 On the Decentralized Cooperative Control of Multiple Autonomous Vehicles
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    Chapter 113 Inventing a Biologically Inspired, Energy-Efficient Micro Aerial Vehicle
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    Chapter 115 Power Managements of a Hybrid Electric Propulsion System Powered by Solar Cells, Fuel Cells, and Batteries for UAVs
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    Chapter 116 Systematic Design Methodology and Construction of Micro Aerial Quadrotor Vehicles
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    Chapter 117 Operator Interaction with Centralized Versus Decentralized UAV Architectures
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    Chapter 118 HDRC3: A Distributed HybridDeliberative/Reactive Architecture for Unmanned Aircraft Systems
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    Chapter 119 Classification of Multi-UAV Architectures
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    Chapter 120 Implementing Dubins Airplane Paths on Fixed-Wing UAVs*
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    Chapter 121 Computational and Experimental Design of a Fixed-Wing UAV
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    Chapter 122 Survey of Unmanned Aerial Vehicles (UAVs) for Traffic Monitoring
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    Chapter 127 Human Interfaces in Micro and Small Unmanned Aerial Systems
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    Chapter 129 Using Best Practices as a Way Forward for Remotely Piloted Aircraft Operators: Integrated Combat Operations Training-Research Testbed
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    Chapter 130 Dexterous UAVs for Precision Low-Altitude Flight
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    Chapter 131 Scalable RADAR-Based Sense-and-Avoid System for Unmanned Aircraft
  107. Altmetric Badge
    Chapter 132 Introduction
  108. Altmetric Badge
    Chapter 133 UAV Design Principles: Introduction
  109. Altmetric Badge
    Chapter 134 UAV Fundamentals: Introduction
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    Chapter 135 Sensors and Sensing Strategies: Introduction
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    Chapter 136 UAV Propulsion: Introduction
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    Chapter 137 UAV Control: Introduction
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    Chapter 138 UAV Communication Issues: Introduction
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    Chapter 139 UAV Architectures: Introduction
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    Chapter 140 UAV Health Management Issues: Introduction
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    Chapter 141 UAV Modeling, Simulation, Estimation, and Identification: Introduction
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    Chapter 142 MAVs and Bio-inspired UAVs: Introduction
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    Chapter 143 UAV Mission and Path Planning: Introduction
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    Chapter 144 UAV Autonomy: Introduction
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    Chapter 145 UAV Sense, Detect and Avoid: Introduction
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    Chapter 146 Networked UAVs and UAV Swarms: Introduction
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    Chapter 147 UAV Integration into the National Airspace: Introduction
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    Chapter 148 UAV - Human Interfaces and Decision Support Systems: Introduction
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    Chapter 149 Human Factors and Training: Introduction
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    Chapter 150 UAV Logistics Support: Introduction
  126. Altmetric Badge
    Chapter 151 UAV Applications: Introduction
  127. Altmetric Badge
    Chapter 152 Social and Ethical Implications: Introduction
Attention for Chapter 22: UAV Operators Workload Assessment by Optical Brain Imaging Technology (fNIR)
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Chapter title
UAV Operators Workload Assessment by Optical Brain Imaging Technology (fNIR)
Chapter number 22
Book title
Handbook of Unmanned Aerial Vehicles
Published by
Springer Netherlands, August 2014
DOI 10.1007/978-90-481-9707-1_22
Book ISBNs
978-9-04-819706-4, 978-9-04-819707-1
Authors

Kurtulus Izzetoglu, Hasan Ayaz, James T. Hing, Patricia A. Shewokis, Scott C. Bunce, Paul Oh, Banu Onaral, Izzetoglu, Kurtulus, Ayaz, Hasan, Hing, James T., Shewokis, Patricia A., Bunce, Scott C., Oh, Paul, Onaral, Banu

Editors

Kimon P. Valavanis, George J. Vachtsevanos

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The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 25%
Researcher 5 14%
Student > Master 3 8%
Professor > Associate Professor 3 8%
Lecturer 2 6%
Other 6 17%
Unknown 8 22%
Readers by discipline Count As %
Engineering 7 19%
Computer Science 5 14%
Neuroscience 3 8%
Physics and Astronomy 2 6%
Social Sciences 2 6%
Other 4 11%
Unknown 13 36%