Autonomous Unmanned Aerial Vehicles (UAV) Development and Evaluation with MATLAB and Simulink

Unmanned aerial vehicle (UAV) usage is continuously increasing in a variety of commercial applications such as agriculture, construction, and delivery. Developing autonomous UAV requires multi-disciplinary skillsets covering various technology domains (controls, perception, motion planning) and executing simulations to reduce risk/cost/rework before flight testing. In this session, learn how you can use MATLAB^® and Simulink^® in development workflows for autonomous UAV applications that span from design and simulation to deployment and test, including:

• Defining system architectures
• Modeling UAV systems of varying fidelities
• Simulating autonomous UAV applications in cuboid and 3D simulation environments
• Evaluating autonomous algorithms for self-awareness and situational awareness
• Automating verification and validation tasks to ensure system robustness
• Automatically generating code and deploying to UAV hardware such as autopilots and onboard compute boards
• Interactively analyzing post-flight telemetry data with the Flight Log Analyzer app