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Programmed self-driving cars can communicate on their own while keeping an equal distance from other vehicles at the safest and most optimized speeds. When the first car breaks down, the following can effectively react, and then the previous one will also slow down in real-time. All contribute...
The question of when self-driving cars will gain mass acceptance is not a matter of if, but when. Google (GOOG,GOOGL), the U.S. Defense Advanced Research Projects Agency (DARPA), automakers, and universities around the world are all hard at work making this a reality. The prospect of w...
First of all, self-driving cars are already here, but currently,they cover just the first levels of automation. Plenty ofbillions of dollars are being pouredinto autonomous tech, though, so expect to have more and more advanced self-driving vehicles on the market by 2022. From then on, the...
Self-driving vehicle rules set to loosen under Trump, report says Are self-driving cars the death of car ownership? Cruise autonomous vehicle drives over woman just after she was hit by another car Hopefully, things won’t change so much that Car and Driver will be forced to change its nam...
Why driverless cars? How do autonomous cars work? When will self-driving cars take over? What’s needed to make these cars work? What are these cars supposed to offer people? Are people putting confidence in Self-driving cars? The self-driving car: Safety, challenges and impacts ...
Many cars today aren't fully autonomous due to several technological, regulatory and safety concerns. For example, while many people give credit to Tesla for pushing toward self-driving cars, and even though many Tesla cars have self-driving features, they still face challenges, including technolog...
A series of surprising, counterintuitive, and sometimes bizarre incidents reveal the challenges of achieving full Level 5 autonomy in self-driving vehicles, which are an increasingly common site in major cities. While it’s easy to dismiss such anecdotes as humorous glitches compared with the soberin...
Shortcomings and challenges of deep learning Processing power: First of all, since deep learning requires such a high level of computing power, a very powerful “brain” is needed to handle the big data capabilities and processing requirements. Currently, the most suitable technology is the...
"Drivers deal with an infinitely complex world," said Jen-Hsun Huang, co-founder and CEO, NVIDIA. "Modern artificial intelligence and GPU breakthroughs enable us to finally tackle the daunting challenges of self-driving cars. "NVIDIA's GPU is central to advances ...