Simulating Autonomous Flight Scenarios
As usage of UAV and aerial vehicle applications accelerates, autonomous flight technologies are being embraced to increase efficiency in operations and lower the burden on operators. Developing autonomous aerial systems require ensuring safety and reliability in the broad array of environments and conditions the system will be utilized.
Autonomous UAV scenarios encompass a variety of mission profiles through various scenes while understanding and adapting to surrounding obstacles. Simulation using realistic UAV scenarios and sensor models is critical prior to hardware flight testing and allows engineers and researchers to evaluate autonomous UAV algorithms efficiently while lowering risk.
Attend this session if you are developing or researching autonomous UAV and are interested in how scenario simulations can help evaluate your autonomous flight algorithms.
In this session you will learn about workflows to design, simulate, and visualize autonomous aerial scenarios through closed-loop simulations using MATLAB and Simulink with tools provided by UAV Toolbox, including:
- Authoring UAV scenarios with the UAV Scenario Design to define vehicle platforms, sensors, trajectories, and obstacles
- Execute scenario simulations to generate sensor data and test controllers and autonomous algorithms
- Unreal Engine co-simulation to generate synthetic sensor data and to test perception-in-the-loop systems
- Customizing UAV vehicle meshes and scenes for specific flight applications
- Multi-UAV scenarios to simulate and test swarm algorithms
Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can’t make it for the live broadcast, register and we will send you a link to watch it on-demand.
About the Presenters
Fred Noto – Robotics and Autonomous Systems Industry Manager
Fred Noto is a Robotics and Autonomous Systems Industry Manager at MathWorks Japan where he works with robotics and autonomous systems customers to realize solutions for complex and advanced robotics systems development. Prior to joining MathWorks, Fred worked at Northrop Grumman in Los Angeles, and as a Guidance, Navigation & Controls Engineer, he gained experience working on autonomous algorithms and controls systems for ground and aerial autonomous systems.
Naga Pemmaraju – Product Manager – Robotics and Autonomous Systems
Naga Pemmaraju is a Product Manager in Robotics and Autonomous Systems at MathWorks, Hyderabad. He focuses on reference applications and ASAM standards for Autonomous Systems. Prior to this role, he worked as Application Engineer at MathWorks in helping customers adopt Model-Based Design approach. He also worked as controls engineer at Caterpillar, Northern Power and Vestas Wind Systems.