Intelligent Autonomy of UAVs : advanced missions and future use /

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Bibliographic Details
Main Author:	Bestaoui Sebbane, Yasmina (Author)
Corporate Author:	ProQuest (Firm)
Format:	Electronic eBook
Language:	English
Published:	Boca Raton, FL : Taylor & Francis Group, 2018.
Edition:	First edition.
Series:	Chapman & Hall/CRC artificial intelligence and robotics ; no. 3
Subjects:	Drone aircraft. Automatic pilot (Airplanes)
Online Access:	Connect to this title online (unlimited simultaneous users allowed; 325 uses per year)

Table of Contents:

Machine generated contents note: ch. 1 Introduction
1.1. Introduction
1.2. Use of Unmanned Aerial Systems
1.2.1. Regulations
1.2.1.1. U.S. regulations
1.2.1.2. European regulations
1.2.1.3. U.K. regulations
1.2.2. Risk analysis
1.2.3. Financial potential
1.2.4. Privacy issue
1.3. Unmanned Aerial System
1.3.1. Ground control station
1.3.2. UAV operator
1.3.2.1. Training environment
1.3.2.2. Assistant systems
1.3.3. UAV simulation
1.3.3.1. Architecture
1.3.3.2. Human---UAV interface considerations
1.4. Case Studies
1.4.1. Industrial applications
1.4.1.1. Infrastructure monitoring
1.4.1.2. Photovoltaic modules monitoring
1.4.2. Civil engineering
1.4.2.1. 3-D building imaging
1.4.2.2. Roof insulation inspection
1.4.2.3. Bridge inspection
1.4.3. Safety and security
1.4.3.1. Traffic monitoring
1.4.3.2. Nuclear, biological, and chemical accident
1.4.3.3. Landmine detection
1.4.4. Environmental applications
1.4.4.1. Geo-referencing
1.4.4.2. Earth observation and mapping
1.4.4.3. Atmospheric monitoring
1.4.4.4. Wildlife evaluation
1.4.5. Precision agriculture
1.4.5.1. Biomass inspection
1.4.5.2. Soil monitoring
1.4.5.3. Forestry
1.4.6. Disaster relief
1.4.6.1. Search and rescue
1.4.6.2. Fires monitoring
1.4.7. Aided communication system
1.5. Conclusion
Bibliography
ch. 2 Mission Framework
2.1. Introduction
2.2. Autonomy
2.2.1. Levels of autonomy
2.2.2. Decision making
2.2.2.1. Human impact
2.2.2.2. Operational autonomy
2.2.3. Fundamentals
2.2.3.1. Graph theory basics
2.2.3.2. Temporal logic
2.2.3.3. Sensor coverage
2.3. Homogeneous Uav Team
2.3.1. Modeling
2.3.1.1. SISO systems
2.3.1.2. MIMO systems
2.3.2. Planning
2.3.3. Cooperative path following
2.3.3.1. Formation control
2.3.3.2. Cooperative mission
2.3.4. Communication
2.3.4.1. Basics
2.3.4.2. Information architectures
2.3.5. Task assignment
2.3.5.1. Intra-path constraints
2.3.5.2. Urban environments
2.4. Heterogeneous Uavs Team
2.4.1. Consensus algorithm
2.4.2. Task assignment
2.4.2.1. Dynamic resource allocation
2.4.2.2. Auction-based approach
2.4.2.3. Deadlock problem
2.5. Uav--Ugv Teams
2.5.1. Coordination framework
2.5.2. Relative localization approach
2.5.3. Logistics service stations
2.5.3.1. Continuous approximation model
2.5.3.2. Interoperable framework
2.6. Mission Analysis
2.6.1. Methodology
2.6.1.1. Photography with UAV
2.6.1.2. Emergency response with UAV
2.6.2. Mission specificity
2.6.2.1. High---level language
2.6.2.2. Model checking of missions
2.6.3. Human-UAV Team
2.6.3.1. Human--UAV Interaction
2.6.3.2. Operator versus UAV
2.7. Conclusion
Bibliography
ch. 3 Orienteering and Coverage
3.1. Introduction
3.2. Operational Research Preliminaries
3.2.1. General vehicle routing problem
3.2.2. Traveling salesperson problem
3.2.2.1. Deterministic traveling salesperson
3.2.2.2. Stochastic traveling salesperson
3.2.3. Postperson problem
3.2.3.1. Chinese postperson problem
3.2.3.2. Rural postperson problem
3.2.4. Knapsack problem
3.3. Orienteering
3.3.1. Orienteering problem formulation
3.3.1.1. Nominal orienteering problem
3.3.1.2. Robust orienteering problem
3.3.1.3. UAV team orienteering problem
3.3.2. UAV sensor selection
3.4. Coverage
3.4.1. Barrier coverage
3.4.1.1. Barrier coverage approach
3.4.1.2. Sensor deployment and coverage
3.4.2. Perimeter coverage
3.4.2.1. Coverage of a circle
3.4.2.2. Dynamic boundary coverage
3.4.3. Area coverage
3.4.3.1. Preliminaries
3.4.3.2. Boustrophedon cellular decomposition
3.4.3.3. Spiral path
3.4.3.4. Distributed coverage
3.5. Conclusion
Bibliography
ch. 4 Deployment, Patrolling, and Foraging
4.1. Introduction
4.2. Aerial Deployment
4.2.1. Deployment problem
4.2.1.1. Deployment methodology
4.2.1.2. Deployment strategies
4.2.2. Mobile sensor network
4.2.2.1. Aerial networks
4.2.2.2. Visual coverage
4.2.2.3. Wireless sensor network
4.3. Patrolling
4.3.1. Perimeter patrol
4.3.2. Area cooperative patrolling
4.3.2.1. Multiple depot multi-TSP
4.3.2.2. Exploration
4.4. Foraging
4.4.1. Problem formulation
4.4.1.1. Abstract model
4.4.1.2. Continuous foraging
4.4.1.3. Foraging algorithms
4.4.1.4. Anchoring
4.4.2. Aerial manipulation
4.4.2.1. Aerial transportation
4.4.2.2. Coupled dynamics
4.5. Conclusion
Bibliography
ch. 5 Search, Tracking, and Surveillance
5.1. Introduction
5.2. Basics of Search Theory and Decision Support
5.2.1. Types of search problems
5.2.2. Camera properties
5.2.3. Human operator
5.3. Information Gathering
5.3.1. Detection
5.3.1.1. Agent model of a missing person
5.3.1.2. Proximity relationship
5.4. Mobility of Targets
5.4.1. Stationary target
5.4.2. Moving target
5.4.2.1. Target capturability
5.4.2.2. Trajectory optimization
5.4.2.3. Tracking a ground moving target
5.4.2.4. Moving source seeking
5.5. Target Search and Tracking
5.5.1. Cooperative monitoring
5.5.1.1. Optimal distributed searching in the plane
5.5.1.2. Distributed estimation and control
5.5.1.3. Temporal planning approach
5.5.2. Communications
5.5.2.1. Asynchronous communication protocol
5.5.2.2. Mobile ad-hoc network
5.6. Surveillance
5.6.1. Stochastic strategies for surveillance
5.6.1.1. Analysis methods
5.6.1.2. Single UAV investigations
5.6.1.3. Multi--UAV investigations
5.6.2. Urban surveillance
5.6.3. Monitoring wildfire frontiers
5.6.3.1. Surveillance of risk sensitive areas
5.6.3.2. Cooperative surveillance
5.6.3.3. Cooperative relay tracking
5.6.3.4. Path planning with temporal logic constraints
5.6.4. Probabilistic weather forecasting
5.7. Conclusion
Bibliography
ch. 6 General Conclusions
ch. 7 Acronyms.

Intelligent Autonomy of UAVs : advanced missions and future use /

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