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Saturday, August 31, 2019

AI Framework for Driverless Cars

Late to this, but a question about driver-less had someone send this to me.    Useful thoughts about the how and what kind of data is being gathered.

Framework for AI Driverless Cars: The Big Picture

Dr. Lance Eliot, CEO, Techbrium Inc. - techbrium.com - and is a regular contributor as our AI Trends Insider, and serves as the Executive Director of the Cybernetic AI Self-Driving Car Institute and has published 11 books on the future of driverless cars.

Follow Lance on Twitter @LanceEliot
By Dr. Lance B. Eliot, the AI Trends Insider

When I give presentations about self-driving cars and teach classes on the topic, I have found it helpful to provide a framework around which the various key elements of self-driving cars can be understood and organized. The framework needs to be simple enough to convey the overarching elements, but at the same time not so simple that it belies the true complexity of self-driving cars. As such, I am going to describe the framework here and try to offer in a thousand words (or more!) what the framework diagram itself intends to portray.

The core elements on the diagram are numbered for ease of reference. The numbering does not suggest any kind of prioritization of the elements. Each element is crucial. Each element has a purpose, and otherwise would not be included in the framework. For some self-driving cars, a particular element might be more important or somehow distinguished in comparison to other self-driving cars. You could even use the framework to rate a particular self-driving car, doing so by gauging how well it performs in each of the elements of the framework.

I will describe each of the elements, one at a time. After doing so, I’ll discuss aspects that illustrate how the elements interact and perform during the overall effort of a self-driving car.  .... "

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