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Projects

Kalman Filter Demo

Kalman Filter Demo

The Kalman Filter is an algorithm that can predict the true state of an observed system where the sensor readings experience input noise. This demo simulates a ball moving across a field as observed by a camera from above. Given that the detection algorithm produces noisy results (the simulation adds noise to the measurement), a Kalman Filter predicts the ball’s true position.

This demo features manually-adjustable inputs for all of the Kalman Filter control matrices and explanations on how they influence the equation.

Streaming UDP Video

Coming soon!

This page is under construction. In the meantime, you can check out the code on GitHub!

Perceptron

Coming Soon!

This page is under construction.

2D Fluids Simulation

Coming Soon!

This page is under construction. In the meantime, you can check out my old code for this project on GitHub.

B-Splines

Coming Soon!

This page is under construction.

Blog

More Technical Content

This section includes an overview of some of my past projects. For more technical content, particularly about frontend development, you can check out my Medium blog.