Karl Iagnemma Quotes

We're doing a lot of work on self-driving cars. We do not currently have cars in the U.S., but we plan to, for development and testing. I think we are within striking distance of making self-driving cars a reality, and these would be powered by deep learning.

Google was the right place to pioneer robot cars.

I have been spending the better part of my professional life trying to create self-driving cars. At Google, I am working with a world-class team of engineers to turn science fiction into reality.

The energy that's going into autonomous vehicles is very significant, and we expect to continue to invest there.

Some Google employees have their self-driving vehicles take them to work. These car robots don't look like something from 'The Jetsons'; the driverless features on these cars are a bunch of sensors, wires, and software. This technology 'works.'

If you say you want to automate cars and save people's lives, the skills you need for that aren't taught in any particular discipline. I know - I was interested in working on automating cars when I was a Ph.D. student in 1995.

The self-driving car revolution was kicked off by The 'DARPA' Grand Challenge to make an autonomous car traverse 132 mi. of a desert.

Did Google need to make robot cars in order to make Streetview work? Absolutely not. It's the equivalent of saying you need a walking robot in order to push an upright vacuum cleaner. It's gratuitous robotics!

My opinion is it's a bridge too far to go to fully autonomous cars.

Your car should drive itself. It's amazing to me that we let humans drive cars... It's a bug that cars were invented before computers.

Eventually, all cars are going to be autonomous.

I'm a firm believer that autonomous driving is coming.

I believe in the potential of all things possibly imagined that can be made into a reality. My uncle was a Swedish scientist, and in the 1970s, he would speak of computers controlling most things in the future and self-driving cars and wireless communication. All the things that we are living with now.

I think it's very clear now that we will have self-driving cars.

It's challenging to drive in a way that's human-like.

When you apply computer science and machine learning to areas that haven't had any innovation in 50 years, you can make rapid advances that seem really incredible.

Google's founders have had a good eye for imagining what technologies will be significant in the near future. No one asked Google to develop self-driving cars, but it helped them with street views for Google Maps.

We're going to look back and wonder why we had to micro-control our cars.

The first autonomous cars date back to the late 20th century. But recent increases in sophistication and reductions in cost - reflected, for example, in cheap LIDAR systems, which can 'see' a street in 3D in a way similar to that of the human eye - are now bringing autonomous cars closer to the market.

When we try to make a car that drives itself, we believe - whether we're right or not - we believe that there would be strong net positive benefit to the world if cars could drive themselves safer than people could.

If Uber wants to catch up to Google and be the leader in autonomy, we have to have the best minds. We have to have all the great minds.

Humans are unbelievably data efficient. You don't have to drive 1 million miles to drive a car, but the way we teach a self-driving car is have it drive a million miles.

For better or worse, we have to bridge this divide between developing cars that drive by the book and cars that drive how you and I drive.

I'm not a big fan of self-driving cars where there's no steering wheel or brake pedal. Knowing what I know about computer vision and AI, I'd be pretty uncomfortable with that. But I am a fan of a combined system - one that can brake for you if you fall asleep at the wheel, for example.

I suck as a driver. I believe all cars should be piloted and driven by machines.