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If anyone is interested in some of the algorithms behind this technology, then I highly recommend Sebastian Thrun's "Artificial Intelligence for Robotics" cours

If anyone is interested in some of the algorithms behind this technology, then I highly recommend Sebastian Thrun's "Artificial Intelligence for Robotics" course on Udacity [1]. He makes unintuitive probabilistic methods easily understandable. I'm not aware of a better source for getting a basic understanding of complex methods like Kalman filters and particle filters [2][3]. I had never even heard of a "histogram filter" until recently reviewing this material, and it's a perfect solution for a problem that I currently have. [1] https://www.udacity.com/course/cs373 https://www.udacity.com/course/cs373 [2] http://en.wikipedia.org/wiki/Kalman_filter http://en.wikipedia.org/wiki/Kalman_filter [3] http://en.wikipedia.org/wiki/Particle_filter http://en.wikipedia.org/wiki/Particle_filter

mej10 14y ago
I was surprised by how understandable the concepts are behind this stuff. I second this recommendation. They are really cool algorithms. For real life, there is obviously a huge engineering component, but you can definitely see how the ideas could come together to build something like the automated cars.
- jmaygarden 14y ago
  Exactly! I linked to Wikipedia for contrast with how unintelligibly these topics are often presented for we mere laymen.
mattbradley 14y ago
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://robots.stanford.edu/papers/junior08.pdf http://www.lcad.inf.ufes.br/wiki/images/7/7f/2010_-_Dolgov_et_al._-_Path_Planning_for_Autonomous_Vehicles_in_Unknown_Semi-structured_Environments.pdf http://www.lcad.inf.ufes.br/wiki/images/7/7f/2010_-_Dolgov_e... http://ai.stanford.edu/~ddolgov/papers/dolgov_gpp_stair08.pdf http://ai.stanford.edu/~ddolgov/papers/dolgov_gpp_stair08.pd... Also, if anyone is interested, my thesis: https://github.com/mattbradley/AutonomousCar https://github.com/mattbradley/AutonomousCar

mej10 14y ago

I was surprised by how understandable the concepts are behind this stuff. I second this recommendation. They are really cool algorithms. For real life, there is obviously a huge engineering component, but you can definitely see how the ideas could come together to build something like the automated cars.

jmaygarden 14y ago
Exactly! I linked to Wikipedia for contrast with how unintelligibly these topics are often presented for we mere laymen.

mattbradley 14y ago

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://robots.stanford.edu/papers/junior08.pdf http://www.lcad.inf.ufes.br/wiki/images/7/7f/2010_-_Dolgov_et_al._-_Path_Planning_for_Autonomous_Vehicles_in_Unknown_Semi-structured_Environments.pdf http://www.lcad.inf.ufes.br/wiki/images/7/7f/2010_-_Dolgov_e... http://ai.stanford.edu/~ddolgov/papers/dolgov_gpp_stair08.pdf http://ai.stanford.edu/~ddolgov/papers/dolgov_gpp_stair08.pd... Also, if anyone is interested, my thesis: https://github.com/mattbradley/AutonomousCar https://github.com/mattbradley/AutonomousCar