In this video, watch how NVIDIA DRIVE AV Software combines the essential building blocks of perception, localization, and planning/control to drive autonomously on public roads around Nvidia headquarters in Santa Clara, Calif.
In Chandler, Arizona, a suburb of Phoenix, Waymo’s fleet of 600 minivans shuttling people from place to place. Ordering one feels almost exactly like calling a Lyft or Uber, except for one thing: the vans drive themselves.
Alphabet’s Waymo has been testing self-driving vehicles in Arizona since 2017 and we got a look at what it’s like.
Alexandr Wang, Scale AI co-founder and CEO, explains how the company is using artificial intelligence to improve the safety of self-driving cars.
In this video, he speaks with Bloomberg’s Emily Chang on “Bloomberg Technology” after raising $100 million in series C funding.
In this video, sentdex explores Carla, an open source autonomous driving simulator.
Carla creates a sort of open world with streets, other cars, pedestrians, weather, sensors, and more to help you to write logic to drive self-driving cars, coming with a Python API.
Lex Fridman sits down with George Hotz, the founder of Comma.ai, a machine learning based vehicle automation company.
He is an outspoken personality in the field of AI and technology in general. He first gained recognition for being the first person to carrier-unlock an iPhone, and since then has done quite a few interesting things at the intersection of hardware and software. This conversation is part of the Artificial Intelligence podcast.
George Hotz explores the current wave of self-driving cars, both the real and the hype, as well as those profiting off the technology in a less-than-ethical way.
BBC Click takes a trip to Arizona, the self-driving car capital of the world, to see how the technology works and how sometimes it does not work with tragic consequences.
If you’re sitting around wondering why self-driving cars are not the norm yet, then you need to understand the real engineering challenges of accounting for edge cases. In this video, Scott Kubo shows up two examples of a corner case where radar cannot detect suddenly stopped traffic due to the curve of the highway and retaining wall.
Since totaling my car in an accident last December, my eagerness to get a self-driving car has only accelerated. Here’s an interesting look at the training data used to train these AIs and who generates them.
Autonomous cars are only as good as the human drivers they learn from — so the people who teach these systems how to drive need to be excellent drivers themselves. To get a look at what it takes to do this job, Bloomberg Technology’s Aki Ito recently joined two vehicle operators who work for self-driving car startup Aurora Innovation Inc. on a test drive in the chaos of downtown San Francisco. This is an episode of Next Jobs, a mini-documentary series about careers of the future.
Here’s an interesting look at “Data Labelers” and how cheap human labor could once again be China’s competitive advantage.
In order to avoid plowing into other cars or making illegal lane changes, they need a lot of help. In China, that help is increasingly coming from rooms full of college students. Li Zhenwei is a data labeler. His job, which didn’t even exist a few years ago, involves sitting at a computer, clicking frame-by-frame through endless hours of dashcam footage, and drawing lines over each photo to help the computer recognize lane markers.