Get Started withUAV Toolbox

UAV Toolboxprovides tools and reference applications for designing, simulating, testing, and deploying unmanned aerial vehicle (UAV) and drone applications. You can design autonomous flight algorithms, UAV missions, and flight controllers. The Flight Log Analyzer app lets you interactively analyze 3D flight paths, telemetry information, and sensor readings from common flight log formats.

For desktop simulation and hardware-in-the-loop (HIL) testing of autonomous flight algorithms and flight controllers, you can generate and simulate UAV scenarios. You can simulate camera, lidar, IMU, and GPS sensor outputs in a photorealistic 3D environment or in a 2.5D simulation environment.

UAV Toolboxprovides reference application examples for common UAV usages, such as autonomous drone package delivery with multirotor UAV. The toolbox supports C/C++ code generation for rapid prototyping, HIL testing, and standalone deployment to hardware such as the Pixhawk^®Autopilot.

Tutorials

• Visualize and Playback MAVLink Flight Log
  

  This example shows how to load a telemetry log (TLOG) containing MAVLink packets into MATLAB®.

• Visualize Custom Flight Log
  

  配置flightLogSignalMappingobject to visualize data from a custom flight log.

• UAV Scenario Tutorial
  

  Create a scenario to simulate unmanned aerial vehicle (UAV) flights between a set of buildings.

• Approximate High-Fidelity UAV model with UAV Guidance Model block
  

  Simulation models often need different levels of fidelity during different development stages.

• Transition from Low to High-Fidelity UAV Models in Three Stages
  

  This example shows how to continuously evolve your UAV plant model to keep in sync with the latest information available. 

Featured Examples

Motion Planning with RRT for Fixed-Wing UAV

Demonstrates motion planning of a fixed-wing unmanned aerial vehicle (UAV) using the rapidly exploring random tree (RRT) algorithm given a start and goal pose on a 3-D map. 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.

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UAV Package Delivery

Through incremental design iterations how to implement a small multicopter simulation to takeoff, fly, and land at a different location in a city environment.

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Automate Testing for UAV Package Delivery Example

Edit requirements, link requirements to their implementation in a model, and verify their functionality in the context of a UAV application. The components of the model and requirements include guidance and control of a UAV implemented by the UAV Package Delivery example.

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