MATLAB and Simulink Seminars

Developing UAV Applications with MATLAB and Simulink

Start Time End Time
25 Jun 2024, 10:00 AM CEST 25 Jun 2024, 11:00 AM CEST

Overview

Unmanned Aerial Vehicle (UAV) usage is increasing across a variety of commercial applications such as delivery, agriculture, construction, and others. Many UAV applications incorporate technologies for autonomous operation and developing autonomous UAV systems and applications require multi-domain technologies and need simulation to ensure proper operations prior to testing on real hardware to reduce risk and rework. Model-Based Design provides an integrated workflow that allow engineers and researchers to develop UAV systems and applications, evaluate through virtual testing, and deploy to UAV hardware. 

In this session, you will learn how MATLAB and Simulink can be used with UAV Toolbox for workflows to design and simulate autonomous UAV systems and applications, including:

  • Modeling methodologies for UAV systems
  • Designing autonomous UAV algorithms
  • Simulating autonomous UAV applications with sensor models
  • Automating verification and validation tasks to ensure system robustness
  • Automatically generating software and deploying to autopilot and onboard computer hardware
  • Analyzing post-flight telemetry data

Attend this webinar if you’re developing UAV systems and applications and are interested in integrated workflows that span from design, simulation, to deployment and test.

Highlights

  • UAV Modeling: Representing fixed-wind and multirotor UAV for simulation with appropriate fidelity levels
  • Planning and Controls: Motion planning with waypoint follower, trajectory-following, and path planning algorithms
  • Cuboid Simulation: Generate sensor data and test controllers, tracking algorithms, and sensor fusion algorithms in simplified 3D environment
  • Unreal Engine Co-Simulation: Simulate UAV applications in a realistic 3D simulator with sensor models
  • Deployment to Autopilots and Onboard Computes: Automatically generate code to implement onto autopilot and onboard compute hardware, such as PX4 autopilots and NVIDIA Jetson
  • Connect with MAVLink Protocol: Communicate with UAV hardware with MAVLink communication protocol support
  • Flight Log Analyzer App: Interactively load and analyze UAV autopilot flight log data

Who Should Attend

UAV Engineer, Drone Engineer, Autonomy Engineer, Flight Controls Engineer, Aerospace Engineer, Air Mobility Engineer/Researcher, Robotics Engineer, Sensor Fusion Engineer 

Product Focus

Developing UAV Applications with MATLAB and Simulink

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