Get Started with UAV Toolbox

UAV Toolbox provides tools and reference applications for designing, simulating, testing, and deploying drone, unmanned aerial vehicle (UAV), and advanced air mobility (AAM) applications. You can design flight controllers, develop autonomy algorithms, and plan UAV missions. The Flight Log Analyzer app lets you interactively analyze 3D flight paths, telemetry information, and sensor data.

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

UAV Toolbox provides reference examples for applications such as autonomous drone package delivery using multirotor UAV and advanced air mobility with vertical takeoff and landing (VTOL) aircraft. The toolbox also supports C/C++ code generation for rapid prototyping, HIL testing, and standalone deployment to hardware such as the Pixhawk^® Autopilot (with Embedded Coder^®).

Tutorials

• Visualize and Play Back MAVLink Flight Log
  

  Load a telemetry log (TLOG) containing MAVLink packets into MATLAB®.

• Visualize Custom Flight Log
  

  Configure the flightLogSignalMapping object 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
  

  Prototype and tune a waypoint following navigation system by using a reduced-order model for UAV.

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

  Evolve your UAV plant model continuously to stay in sync with the latest information available.

Featured Examples

Simulate UAV Mission in Urban Environment

Simulate a UAV mission in an urban environment using UAV scenario and OpenStreetMap® data of Manhattan, New York

• Open Live Script

Motion Planning with RRT for Fixed-Wing UAV

Plan the 3D motion of a fixed-wing UAV using the rapidly exploring random tree (RRT) algorithm given a start and goal pose.

• Open Live Script

Simulate Simple Flight Scenario and Sensor in Unreal Engine Environment

Visualize sensors in a simulation environment that uses Unreal Engine® from Epic Games®.

• Open Live Script

Videos

Interactively Analyze Telemetry Data with the Flight Log Analyzer App
Learn how to analyze flight logs using the Flight Log Analyzer app.

3D Simulation for Testing UAV Applications
Learn about 3D simulation environments for testing UAV algorithms using UAV Toolbox and Unreal Engine^®.