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Self-driving cars are something we are continually told will be the Next Big Thing. It’s nothing new, we’ve seen several decades of periodic demonstrations of the technology as it has evolved. Now we have real prototype cars on real roads rather than test tracks, and though they are billion-dollar research vehicles from organisations with deep pockets and a long view it is starting to seem that this is a technology we have a real chance of seeing at a consumer level.

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A self-driving car may seem as though it is beyond the abilities of a Hackaday reader, but while it might be difficult to produce safe collision avoidance of a full-sized car on public roads it’s certainly not impossible to produce something with a little more modest capabilities. [Jaimyn Mayer] and [Kendrick Tan] have done just that, creating a self-driving R/C car that can follow a complex road pattern without human intervention.

Unexpectedly they have eschewed the many ARM-based boards as the brains of the unit, instead going for an Intel NUC mini-PC powered by a Core i5 as the brains of the unit. It’s powered by a laptop battery bank, and takes input from a webcam. Direction and throttle can be computed by the NUC and sent to an Arduino which handles the car control. There is also a radio control channel allowing the car to be switched from autonomous to human controlled to emergency stop modes.

They go into detail on the polarizing and neutral density filters they used with their webcam, something that may make interesting reading for anyone interested in machine vision. All their code is open source, and can be found linked from their write-up. Meanwhile the video below the break shows their machine on their test circuit, completing it with varying levels of success.

We’ve featured quite a few self-driving cars over the years, and this isn’t the first model-sized one. Among others we’ve seen a self-driving Acura built in a garage, and an autonomous vehicle course from a Stanford professor.

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