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...
Self-driving cars are also vulnerable to cyberattacks as they are primarily software-driven products compared to traditional cars. As they becomeincreasingly dependent on softwareto operate, there are growing concerns that hacking and cyberattacks could compromise the proper functioning of self-driving c...
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...
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...
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...
After incorporating the IMU data, we indeed see improvements on both counts. Noisy jumps are smoothed out and sustained sharp velocity changes are registered earlier: IMU processing challenges Some of the accelerometer processing challenges can be seen by simply looking at the raw accelerometer sensor...
"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 i...
Implement computer vision, deep learning, and AI techniques to create automotive algorithms Overcome the challenges faced while automating different aspects of driving using modern Python libraries and architectures Description Thanks to a number of recent breakthroughs, self-driving car technology is...
Another excitement of having his own workshop is that it requests advanced planning skills, self-learning abilities, and high degree of self-discipline. It also challenges his communication skills because all workshops are online courses (2 hours at night) thought which his team shares desktop with...
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...