MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 2 Hours | Lec: 16 | 854 MB | Genre: eLearning | Language: English | Sub: EnglishLearn about writing software for an autonomous robot by implementing a Kalman Filter on a self-driving car in Python!What you'll learnProficiency with Kalman Filters.

General understanding of the whole robotic software stack.

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

RequirementsA background interest in software or robotics is encouraged but not required.

DescriptionIn this course you will learn not only how Kalman Filters work, but why are needed in the first place.

You will get to write actual code that will have to perform well in simulations designed to mimic a real self-driving car.

No previous experience in linear algebra or software is required.

All code is written in Python which is a very easy language to get up and running even with limited to no software experience.

Who is the target audience?Anyone who is interested in robotics, self-driving cars, or autonomous vehicles in general.