A Udacity course introducing the software and techniques behind self-driving cars, taught by Sebastian Thrun, who led Stanford's autonomous vehicle work. It is offered free and covers the computer science behind autonomous driving.

Commenters describe it as a great starting point for autonomous cars and a world-class computer-science education available for free from a leading AI expert.

What commenters said (3)

1. Strongly recommendspatrickk2012in “Building a Bejeweled Bot”

   It's funny, I was just discussing udacity with a co-worker today. I might try some of the easier courses before I tackle the more hardcore topics like a self-driving car!

   On a slightly tangential note, I'm blown away when I look at the learning resources on the web in the last year or two. I largely learned the (admittedly rudimentary) iOS knowledge I have from the Stanford U course on iTunes[1]. Then you look at things like Udacity, Coursera and Khan Academy. In the case of the self-driving car course, you are getting a world-class computer-science education, free, from one of the foremost experts in AI, all from the comfort of your own bedroom. We might not have flying cars yet, but you can get a world-class education for free! The times we live in.

   I'd also encourage you to do more write ups on your bot experiences! You have a knack for explaining things well. I'm toying with the idea of doing maybe a series of YouTube videos or blog posts myself once my Python skills get above the level of being totally embarrassing ;-)

   BTW, here's a link for a series of blog posts on how this guy builds working poker bots:

   http://web.archive.org/web/20090608115755/http://www.codingt...

   http://web.archive.org/web/20100130074034/http://www.codingt...

   (Had to put it through the wayback machine as some current employer of his persuaded him to take the content offline!) Not sure if it's something you would be interested in, but have a look at some of the content. He goes through using Monte Carlo simulations and everything to aid decision making. Very C++ and Windows based, but have a look nonetheless, there may be transferable concepts to your own projects.

   [1] http://itunes.apple.com/us/itunes-u/developing-apps-for-ios-...

2. Recommendsmattbradley2013in “Google: Self-driving cars in 3-5 years. Feds: Not so fast”

   I would also recommend anything by Sebastian Thrun on the topic of autonomous cars. His Udacity course is a great starting point, and it inspired me to do my graduate thesis on an autonomous car simulation.

   If anyone is looking to get a little deeper, check out some of his literature during his time at Stanford:

   http://robots.stanford.edu/papers/junior08.pdf

   http://www.lcad.inf.ufes.br/wiki/images/7/7f/2010_-_Dolgov_e...

   http://ai.stanford.edu/~ddolgov/papers/dolgov_gpp_stair08.pd...

   Also, if anyone is interested, my thesis: https://github.com/mattbradley/AutonomousCar

3. Recommendstzs2012in “Driverless Cars Get Green Light in California”

   Take professor Thrun's course on building self driving robots at Udacity, and then you'll see why this requirement is necessary at this stage of the development of this technology.

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