Daniel Lyons Quotes

A self-driving car will have 200-plus CPUs. That's a data center on wheels.

Well, you can say there is a self driving car. I'm seeing the automation of vehicles. Really, computer-assisted driving. I think that is really interesting to us because we are taking all of the sensors technologies and putting them in cars and making people safer.

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.'

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.

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

Yes, we have prototyped cars that can drive by themselves, but without smart vision, they cannot really tell the difference between a crumpled paper bag on the road, which can be run over, and a rock that size, which should be avoided.

All the technology going into self-driving cars is robotic technology. It's not automotive. That explains why some of the traditional automotive players didn't develop this technology.

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.

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.

I'm not so keen on letting my car drive itself.

Google was the right place to pioneer robot cars.

When a driverless car looks out on the world, it's not able to distinguish the age of a pedestrian or the number of occupants in a car.

When cars have the sensory systems around them, GPS intelligence, they're looking at the world not only in visual spectrum, but infrared, ultraviolet and everything else that's going on and they've got reaction times in microseconds. Not a tenth of a second. They're a hundred thousand times faster.

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

In the future, you'll simply jump into your car, turn on the Internet, turn on a movie and sit back and relax and turn on the automatic pilot, and the car will drive itself.

The most important thing for building a robot that you can interact with socially is its visual attention system. Because what it pays attention to is what it's seeing and interacting with, and what you're understanding what it's doing.

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.

I think Tesla will most likely develop its own autopilot system for the car, as I think it should be camera-based, not Lidar-based. However, it is also possible that we do something jointly with Google.

There are an endless number of things to discover about robotics. A lot of it is just too fantastic for people to believe.

Computer vision and machine learning have really started to take off, but for most people, the whole idea of what is a computer seeing when it's looking at an image is relatively obscure.

Eventually, all cars are going to be autonomous.

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.

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

We really believe that long-term, the way AI will drive is similar to the way humans drive - we don't break the problem down into objects and vision and localization and planning. But how long it will take us to get there is questionable.

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.