Ogma Corp Richard Crowder Self Drive Car

Ogma is building new AI technology based on a multidisciplinary approach, combining the latest developments in machine learning, the applied mathematics of dynamical systems, and computational neuroscience. Systems matching the power of state-of-the-art Deep Learning algorithms can be built with the self-organising structure, flexibility and efficiency found in the human brain.

The Ogma Corp self-driving car (SDC) difference

Our SDCs and software differ for other alternatives and similar SDCs, by performing all machine learning and inference/prediction on a small board computer (SBC), e.g. a Raspberry Pi3 / Zero boards. Alternatives rely on offloading learning onto more powerful computers (GPUs, server farms, etc.), and then only doing inference/prediction on a SBC. We use faster ‘online unsupervised learning’ techniques, compared to alternative ‘offline supervised learning’ techniques, to be able to perform all computation on smaller compute devices.

This SDC was featured in an article in the first issue of a new magazine called HackSpace. A free PDF can be found by clicking the cover below:

The car uses a fish eye camera, which presents an EOgmaNeo hierarchy with grey scale pixel data(pictured left). From that, the steering angle is predicted.

Click here for the full project details and part downloads

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