A Quote by Henrik Fisker
I probably have a very controversial view on autonomous driving versus anybody else in the auto industry. I don't believe that it makes any sense for an automaker to develop autonomous driving.
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As the technology is developed, autonomous driving could provide driving opportunities for the physically challenged or enable the elderly to continue driving longer. This will be vital as many nations experience an aging population.
I was touching on the idea of the autonomous militaristic or autonomous law enforcement idea, but it wasn't the primary driving force.
The purpose of autonomous driving is to eliminate accidents.
No state in the U.S. expressly forbids autonomous driving.
I'm a firm believer that autonomous driving is coming.
My goal is for General Motors to lead in safe autonomous driving.
5G will be a major technology in growing industrial digitalisation, creating and enhancing industry digitalisation use cases such as immersive gaming, autonomous driving, remote robotic surgery, and augmented reality support in maintenance and repair situations.
Autonomous driving provides a scenario where AI can deliver smart tools for assistance in decision-making and planning to human drivers.
You put a car on the road which may be driving by the letter of the law, but compared to the surrounding road users, it's acting very conservatively. This can lead to situations where the autonomous car is a bit of a fish out of water.
Surveys show that while many people are open to the idea of an autonomous vehicle driving them to work, far fewer are willing to let one drive their child to soccer practice.
The self-driving car revolution was kicked off by The 'DARPA' Grand Challenge to make an autonomous car traverse 132 mi. of a desert.
The key with autonomous is the whole ecosystem. One of the keys to having truly fully autonomous is vehicles talking to each other.
Nvidia's self-driving-car business grew out of a long-standing relationship with auto companies. Car guys used Nvidia chips for computer-aided design, then used Nvidia supercomputer chips to do crash simulations. When the car guys started thinking about autonomous vehicles, Nvidia leaped at the chance to help them solve the problem.
The implementation of autonomous driving needs a whole new rethinking. To really make it an attribute for society, we really need to think differently about where and when and how we implement this.
Cameras can look down from on high and predict crop yields, traffic in Walmart parking lots, and travel patterns on Labor Day weekend. On the ground, they form the foundation of autonomous-driving systems.
To realize the incredible potential of connected cars and autonomous driving, we must continue to forge innovative global partnerships that engage everyone from automakers and Internet of Things players to government and educational institutions.
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