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Introduction to Kalman filter with Python
Rating: 3.6 out of 5(44 ratings)
198 students

Introduction to Kalman filter with Python

Introduction to Kalman filter for beginners
Created byMustafa Gebril
Last updated 4/2024
English

What you'll learn

  • Learn Kalma filter in practical way
  • No need of heavily math
  • Apply Kalman filter for uncertainty reduction
  • Apply both one dimensional and Multi-dimensional Kalman filter
  • Use Kalman filter for sensor fusion

Course content

3 sections • 12 lectures • 50m total length

  • Table of contents2:27
  • Moving Average Filter7:17
  • Moving Average Filter Python Code3:52
  • g Filter5:32
  • g Filter Python code2:58
  • g-h Filter4:01

Requirements

  • Basics of python

Description

Kalman filter is used for variety of engineering problems, yet moth of available resources are heavily mathematics, and hard to be understood. Here we will study Kalman filter with minimum math, only the math needed for implementation. With lots of practical python code. The course includes advanced topics like sensor fusion. All in practical intuitive wave, with no math hustle. 

Who this course is for:

  • Engineering Students

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