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Navigation is the ability to determine your location within an environment and to be able to figure out a path that will take you to a goal. This video provides an overview of how we get a robotic vehicle to do this automatically. We’ll cover what it means to have a fully autonomous vehicle and look at the importance of mapping the environment and path planning. We’ll also show how we can accomplish full autonomy through a heuristic approach and through an optimal approach. Additional resources: Sensor Fusion and Tracking Tech Talk Series: • Understanding Sensor Fusion and Tracking Get a free trial of Sensor Fusion and Tracking Toolbox: https://bit.ly/35vwZEV Get a free trial of Navigation Toolbox: https://bit.ly/3oxMaFi Download ebook: Sensor Fusion and Tracking for Autonomous Systems: An Overview: https://bit.ly/2YZxvXA Download white paper: Sensor Fusion and Tracking for Autonomous System : https://bit.ly/2Nlw68B -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.