Uploaded May 2020 | Updated September 2026, 3 hours ago
In this video I will be showing you how to use C++ in order to develop a simple, fast Kalman Filter to remove noise from a sensor measurement.
TIMESTAMPS:
Kalman Filter Theory: 00:07
Probability Theory (Review): 03:23
Kalman Filter Equations: 06:09
C++ Tutorial: 08:18
Arduino Tutorial: 13:29
You will also learn how to implement this filter on an Arduino via a C++ function.
You will learn basic C++ techniques (functions, loops) along with the theory of the Kalman Filter method as well.
Thanks for watching and be sure to subscibe for more videos like this!
VDEngineering
~~My Udemy Courses on Motion Planning / Navigation / Trajectory Planning:
udemy.com/course/autonomous-robots-nonholonomic-motion-planning-algorithms
My Instagram: instagram.com/vinayak_desh
Buy Coffee: buymeacoffee.com/vdengineering
My Website: vinayakd.com
In this video I will be showing you how to use C++ in order to develop a simple, fast Kalman Filter to remove noise from a sensor measurement.
TIMESTAMPS:
Kalman Filter Theory: 00:07
Probability Theory (Review): 03:23
Kalman Filter Equations: 06:09
C++ Tutorial: 08:18
Arduino Tutorial: 13:29
You will also learn how to implement this filter on an Arduino via a C++ function.
You will learn basic C++ techniques (functions, loops) along with the theory of the Kalman Filter method as well.
Thanks for watching and be sure to subscibe for more videos like this!
VDEngineering
~~My Udemy Courses on Motion Planning / Navigation / Trajectory Planning:
udemy.com/course/autonomous-robots-nonholonomic-motion-planning-algorithms
My Instagram: instagram.com/vinayak_desh
Buy Coffee: buymeacoffee.com/vdengineering
My Website: vinayakd.com










