Instructions for a sub-$100 autonomous rover using computer vision

This project uses RaspberryPi and the Pi camera in a cloud robotics architecture (most processing is done on a laptop over WiFi) and is based on the ForumulaPi code and OpenCV. It costs less than $100 and can perform the full Udacity Self Driving Car challenge (thanks to offboarding most processing to the laptop). Full instructions are here

It's the entry-level design for our DIY Robcars hack/race series, which is a monthly series in Oakland. Next event is Feb 11 for a build day, and then the full race on Feb 18. 

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Comment by sergei lupashin on February 1, 2017 at 4:55am

This is cool but.. it's a bit misleading to call this an "autonomous car"? Nein?


3D Robotics
Comment by Chris Anderson on February 1, 2017 at 8:13am

Would "self-driving" be better?  Or are you thinking that it's more of a "rover" than a "car"? BTW, it can run the full TensorFlow/CNN stack as taught in Udacity's Self Driving Nanodegree course (because the software is running on the laptop, not the car/rover..

Comment by sergei lupashin on February 1, 2017 at 12:36pm

Yes - Rover is better. A "car" is something that transports people. Cool event / direction, just want to avoid confusion! Yes, CNN's have become incredibly impressive.


3D Robotics
Comment by Chris Anderson on February 1, 2017 at 9:21pm

I changed the post title as you suggested, but I think the definition of car in English is not as clear as that. For example, they're called "RC cars" not "RC rovers"

Comment by Jack Crossfire on February 2, 2017 at 4:05pm

It's about time a laptop remotely controlling a vehicle was finally called cloud computing. 

Comment by Al B on February 3, 2017 at 9:55am

If you want to try TensorFlow and cloud computing, then I suggest you buy an cheap Google Nexus smartphone with a bad ESN, but with the wifi and bluetooth still working. API for both are easily accessible via the Android SDK.  Also, you don’t have to call a car or a rover, you could just call it an autonomous vehicle like this one. Also here.

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