This is Part 1 of the Kalman Filter Series where we develop and intuitive understanding of the filter itself, starting with simple problem statements in Robotics and Computer Vision. It has been made in collaboration with Mathias Mantelli. Here are our LinkedIn and Twitter handles:

Mathias Mantelli:
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Sharad Maheshwari:
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Series Description:
Part 1 - Intuitive understanding of the Kalman Filter
Part 2 - Alpha-Beta Filters
Part 3 - Formal Bayes Filter and the Kalman Filter;
Part 4 - 1-D Kalman Filter in Python from the ground up
Part 5 - 2-D Kalman Filter in Python from the ground up

Blog version of this series:
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