Series Preface.

Preface.

Acknowledgements.

List of Figures.

List of Tables.

Nomenclature.

1. Introduction.

1.1 Path Planning Formulation.

1.2 Path Planning Constraints.

1.3 Cooperative Path Planning and Mission Planning.

1.4 Path Planning – An Overview.

1.5 The Road Map Method.

1.6 Probabilistic Methods.

1.7 Potential Field.

1.8 Cell Decomposition.

1.9 Optimal Control.

1.10 Optimization Techniques.

1.11 Trajectories for Path Planning.

1.12 Outline of the Book.

References.

2. Path Planning in Two Dimensions.

2.1 Dubins Paths.

2.2 Designing Dubins Path using Analytical Geometry.

2.3 Existence of Dubins Paths.

2.4 Length of Dubins Paths.

2.5 Design of Dubins Paths using Principles of Differential Geometry.

2.6 Path of Continuous Curvature.

2.7 Producing Flyable Clothoid Paths.

28 Producing Flyable Pythagorean Hodograph Paths (2D).

References.

3. Path Planning in Three Dimensions.

3.1 Dubins Paths in Three Dimensions Using Differential Geometry.

3.2 Path Length – Dubins 3D.

3.3 Pythagorean Hodograph Paths – 3D.

3.4 Design of Flyable Paths Using PH Curves.

References.

4. Collision Avoidance.

4.1 Research into Obstacle Avoidance.

4.2 Obstacle Avoidance for Mapped Obstacles.

4.3 Obstacle Avoidance of Unmapped Static Obstacles.

4.4 Algorithmic Implementation.

References.

5. Path-Following Guidance.

5.1 Path Following the Dubins Path.

5.2 Linear Guidance Algorithm.

5.3 Nonlinear Dynamic Inversion Guidance.

5.4 Dynamic Obstacle Avoidance Guidance.

References.

6. Path Planning for Multiple UAVs.

6.1 Problem Formulation.

6.2 Simultaneous Arrival.

6.3 Phase I: Producing Flyable Paths.

6.4 Phase II: Producing Feasible Paths.

6.5 Phase III: Equalizing Path Length.

6.6 Multiple Path Algorithm.

6.7 Algorithm Application for Multiple UAVs.

6.8 2D Pythagorean Hodograph Paths.

6.9 3D Dubins Paths.

6.10 3D Pythagorean Hodograph Paths.

References.

Appendix A Differential Geometry.

Appendix B. Pythagorean Hodograph.

Index. 

Focussing on the path planning of multiple UAVs for simultaneous arrival on target, Cooperative Path Planning of Unmanned Aerial Vehicles also offers coverage of path planners that are applicable to land, sea, or space-borne vehicles.

Cooperative Path Planning of Unmanned Aerial Vehicles is authored by leading researchers from Cranfield University and provides an authoritative resource for researchers, academics and engineers working in the area of cooperative systems, cooperative control and optimization particularly in the aerospace industry.

• Include chapters on path planning, 3-D path planning, cooperative path planning, path planning in complex environments as well as guidance for accurate path following and sense and avoid algorithms to deal with collision avoidance
• Approaches the solution to UAV path planning via two phases: producing paths to meet curvature constraints - the flyable paths, and then tuning the flyable paths to meet the mission demands
• Describes flyable path approaches using composite curves using Dubins and Clothoid principles, and continuous curves using Pythagorean Hodograph principles; and extends these approaches to cater for the complex problem of obstacle avoidance.