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Legacy article – Robotics, GPU and research

Technology Behind Google Autonomous Car

Original publication date
20 October 2011
Original section
Robotics, GPU and research
Original slug / legacy ID
technology-behind-google-autonomous-car / 262
Restored on current site
martinpeniak.com/archive/writing/technology-behind-google-autonomous-car/
Editing scope
Period voice retained; spelling and formatting lightly cleaned.

Originally published 20 October 2011 on the earlier martinpeniak.com site.

Preserved from the old research notes as a full article. The article keeps its period voice, with light formatting cleanup.

Google Autonomous Car

Google have been working hard on their autonomous vehicle, which has already driven over 190 000 miles. Last month's IROS conference, where I demonstrated Aquila, was also the place where Google unveiled details about the technology used in their autonomous car. 

"According to the World Health Organization, more than 1.2 million lives are lost every year in road traffic accidents. We believe our technology has the potential to cut that number, perhaps by as much as half. We’re also confident that self-driving cars will transform car sharing, significantly reducing car usage, as well as help create the new “highway trains of tomorrow." These highway trains should cut energy consumption while also increasing the number of people that can be transported on our major roads. In terms of time efficiency, the U.S. Department of Transportation estimates that people spend on average 52 minutes each working day commuting. Imagine being able to spend that time more productively.

We’ve always been optimistic about technology’s ability to advance society, which is why we have pushed so hard to improve the capabilities of self-driving cars beyond where they are today. While this project is very much in the experimental stage, it provides a glimpse of what transportation might look like in the future thanks to advanced computer science. And that future is very exciting." 

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