Autonomous Robots: Kalman Filter

Autonomous Robots: Kalman Filter, available at $19.99, has an average rating of 4.45, with 19 lectures, based on 438 reviews, and has 5736 subscribers.

You will learn about Proficiency with Kalman Filters. General understanding of the whole robotic software stack. Solve real world problems that self-driving cars or autonomous cars face. This course is ideal for individuals who are Anyone who is interested in robotics, self-driving cars, or autonomous vehicles in general. It is particularly useful for Anyone who is interested in robotics, self-driving cars, or autonomous vehicles in general.

Enroll now: Autonomous Robots: Kalman Filter

Summary

Title: Autonomous Robots: Kalman Filter

Price: $19.99

Average Rating: 4.45

Number of Lectures: 19

Number of Published Lectures: 18

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 18

Original Price: $22.99

Quality Status: approved

Status: Live

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.

Who Should Attend

Anyone who is interested in robotics, self-driving cars, or autonomous vehicles in general.

Target Audiences

Anyone who is interested in robotics, self-driving cars, or autonomous vehicles in general.

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Free Installation Guide

Lecture 3: Conda Environments

Lecture 4: What to do if you are still have issues with Python

Lecture 5: Filtering Basics

Lecture 6: Kalman Filter Toy Implementation

Lecture 7: Assignment 1: Intro

Lecture 8: Assignment 1: Solution

Chapter 2: Kalman Filter

Lecture 1: Kalman Filter 1D Implementation

Lecture 2: Assignment 2: Intro

Lecture 3: Assignment 2: Solution

Lecture 4: Kalman Filter 2D

Lecture 5: Assignment 3: Intro

Lecture 6: Assignment 3: Solution

Chapter 3: Kalman Filter Prediction

Lecture 1: Kalman Filter Prediction

Lecture 2: Assignment 4: Intro

Lecture 3: Assignment 4: Solution

Lecture 4: Outro

Instructors

Daniel Stang, MSc
Robotics Software Engineer

Rating Distribution

1 stars: 9 votes
2 stars: 14 votes
3 stars: 63 votes
4 stars: 172 votes
5 stars: 180 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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