Autonomous Robots: Kalman Filter

Autonomous Robots are the future. Learn a core skill needed to create a Self-Driving Car!

4.75 (433 reviews)

Udemy

platform

English

language

Engineering

What you will learn

Proficiency with Kalman Filters.

General understanding of the whole robotic software stack.

Solve real world problems that self-driving cars or autonomous cars face.

Why take this course?

Autonomous Robots Are The Future. Learn to Program Them With My Fast, Easy to Understand Course!

For lovers of cars, technology and robotics alike, my online course can teach you how to write the software needed to make a self-driving car work.

Regardless of your experience in coding, by the end of this course you will not only be proficient with Kalman Filters, but you’ll have an understanding of how robotics software works and how to write code in Python.

My goal with every course I make is to meet you where you’re at. You can be completely new to robotics, never having coded a thing in your life, and in only two hours you’ll have the knowledge needed to write a code that is ready to be tested in my custom simulator.

If you are already a coding expert, this in-depth look at how Kalman Filters function will help you diversify your robotics arsenal and level up your confidence in working with autonomous robots.

But this course isn’t just about accumulating knowledge. What sets this apart from other online robotics programs is that I make the process fun. You get to see what the real-life results of your code would look like with a simulated self-driving car. Robotics can (and should) be a field full of exploration, experimentation, fun, and getting your hands dirty. With my courses, I make that a priority, even in an online setting.

Want to see for yourself?

Check out the course to see how you can level up your skills today.

Screenshots

Autonomous Robots: Kalman Filter - Screenshot_01

Autonomous Robots: Kalman Filter - Screenshot_02

Autonomous Robots: Kalman Filter - Screenshot_03

Autonomous Robots: Kalman Filter - Screenshot_04

Reviews

Jeff

June 8, 2023

Was very impressed that Daniel was able to simplify a very complex subject matter such as Linear Algebra using multiple Matrices in a Kalman Filter. I recommend going through the course a minimum of twice (as recommended) as it is very condensed with information. Overall, was very impressed and am glad I purchased it so it stays in my Archive for ready viewing.

Muhammad

July 13, 2021

Not what I expected. It feels like rather than teaching Kalman Filters, the instructor is just showing his work assuming we know are understanding everything! Definitely not recommended for beginners!

Shing

June 20, 2021

I had some background knowledge about Kalman filter. I was hoping to get some additional practice through the exercises. While the answers make sense, the exercises themselves lack documentation, e.g., a short description at the top of each exercise would be nice so we won't need to revisit the videos just to catch the minor details. Also, it would be great to explain the state and measurement transition functions (the Jacobians) and how are they related to the state and the measurements.

Lynnette

June 12, 2021

good detailed description of concepts, i think a little animation here would go a long ways. I already want to put together a spreadsheet with the filter matrices denote the inputs with conditional formatting instructions to make things a little more interactive and visual. I haven't gone full Python yet

Jacob

March 28, 2021

The course was informative and armed me with a basic understanding of what a Kalman filter is. It has certainly cleared the grey cloud obstructing my understanding of what a Kalman filter is. I would prefer if this was also implemented on Simulink for the ease of visualization.

Diarmaid

February 8, 2021

Delighted with course. I was getting lost in the details/derivations of the equations before, but this course let me realise that I can still effectively implement the filter without knowing all the intricate details.

Igor

January 20, 2021

Good intro to Kalman filter. I like the way Mr. Stang explains the usage of the Kalman filter. I'd like a little bit more theory regarding design and choosing the values for the matrices. I know this is not a mathematical modeling course, but it wouldn't hurt to give some car modeling materials (e.g., web pages, additional text materials, etc.). This would be of great help in better understanding how the system works.

András

January 6, 2021

The course gives a very good introduction to Kalman filters, by leaving out the theory of it but rather learn it by experience. I would appreciate sometimes a little-bit more explanation though. I was starting from a basic knowledge of Kalman filters (main areas of usage) at the beginning of the course, but after it I think I will be able to use it in real life implementations.

Hari

December 12, 2020

Pros : The course was well prepared, and explanations were clear. The simulators were great reference tools to have for future use, and the practical exercises were invaluable. Cons : I would have preferred to have some intuition on what the various filter processes do in the update step, instead of just executing them mechanically.

Ramachandran

December 5, 2020

This is the best course ever for understanding the Kalman filters in depth. The assignments along with the simulation are really wonderful and helped to understand better by watching what's happening inside the filter rather than just stating it as black box. Enjoyed this course very much.!!!

Ondřej

November 15, 2020

Absolutely love the way David teaches. Brief, but well explained theory background with lot of practical exercises which gave you everything you need to gets your hands on basic Kalman filter technique.

David

November 1, 2020

The course is clearly explained and the assignments are useful to understand the contents. A negative point (which prevented me from assigning 5 stars) is that the response to the Q&A is nil. In other words your questions are not answered. I plan on purchasing other courses of this instructor but it is too bad that the course is only one way only.

Edgar

October 23, 2020

Missing more about sensor fusion and the installation of python didnt work from the instructions with conda 3.8

Jack

October 20, 2020

The content is good but the presentation poor, particularly for Section 1. Wondering if the instructor has any formal training in education.

Ted

July 10, 2018

Kalman filters are a very niche subject that I was hoping to learn more on, and this course was a really helpful supplement.

Charts

Price

Rating

Enrollment distribution

Autonomous Robots: Kalman Filter - Distribution chart