Developing Autonomous Systems: Perception Algorithms
Overview
Whether your robot flies, drives, swims, or manipulates, algorithms that turn sensor data into self-awareness and situational awareness will be a critical component of any autonomous system. In this seminar, you will learn how to design, implement, and test a variety of these algorithms – all using MATLAB and Simulink.
Highlights
- Collecting and processing real and simulated data in MATLAB
- Applications of data for autonomy, including object/obstacle detection using AI, object tracking, sensor fusion for localization, and mapping
- Testing and deployment of perception algorithms
Who Should Attend
Engineers and researchers working on autonomous systems or components, for example: perception engineers, roboticists, embedded software engineers, systems engineers.
About the Presenter
Julia Brault received a B.S. and M.S. from Northeastern University in Mechanical Engineering, with a concentration in mechanical design and mechatronic systems. She is a Senior Application Engineer focusing on robotics and automated systems who joined MathWorks 8 years ago in 2017.
Product Focus
This event is part of a series of related topics. View the full list of events in this series.
