Intelligent Autonomy of UAVs : advanced missions and future use /
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Main Author: | |
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Corporate Author: | |
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: | |
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.