Plan 3D Paths for Drones | Motion Planning Hands-on Using RRT Algorithm, Part 4
From the series: Motion Planning Hands-on Using RRT Algorithm
Are you working with autonomous drone applications such as package delivery or advanced air mobility? Learn how to plan and execute unmanned aerial vehicle (UAV) flights using a guidance model for a fixed-wing aircraft. A fixed-wing UAV is nonholonomic in nature and must obey aerodynamic constraints like maximum roll angle, flight path angle, and airspeed when moving between waypoints.
Watch a demonstration of motion planning of a fixed-wing UAV using the rapidly exploring random tree (RRT) algorithm that is given a start and goal pose on a 3D map. You will learn how to use UAV Toolbox with MATLAB® to generate 3D Dubins motion primitives. You will also learn how to use a customizable path-planning template with Navigation Toolbox™ to define a custom state space and state validator for sampling-based path planning.
- Setting up a 3D map
- Providing the start pose and goal pose
- Planning a path with RRT using 3D Dubins motion primitives
- Smoothing the planned path
- Simulating the UAV flight following the planned path
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.