Embedded Vision Insights: March 11, 2014 Edition
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In this edition of Embedded Vision Insights:
- Self-Driving Cars
- Vision Acceleration Using the Hexagon DSP Core
- Security Systems in Schools
- Embedded Vision Community Conversations
- Embedded Vision in the News
|LETTER FROM THE EDITOR|
In the previous edition of Embedded Vision Insights, I mentioned that we'd published initial details on the afternoon keynote for the May 29 Embedded Vision Summit, to be held in Santa Clara. The presenter, Nathaniel Fairfield of Google's self-driving car team, has subsequently finalized the title and abstract for his talk, which addresses the second of the two foundation themes of the Summit, recognition and autonomy. Here's what Fairfield says about his planned presentation:
Self-driving cars have the potential to transform how we move: they promise to make us safer, give freedom to millions of people who can't drive, and give people back their time. The Google Self-Driving Car project was created to rapidly advance autonomous driving technology and build on previous research. For the past four years, Google has been working to make cars that drive reliably on many types of roads, using lasers, cameras, and radar, together with a detailed map of the world. Fairfield will describe how Google leverages maps to assist with challenging perception problems such as detecting traffic lights, and how the different sensors can be used to complement each other. Google's self-driving cars have now traveled more than a half a million miles autonomously. In this talk, Fairfield will discuss Google's overall approach to solving the driving problem, the capabilities of the car, the company's progress so far, and the remaining challenges to be resolved.
The Embedded Vision Summit West is a ...