Seven years ago, I was a self-driving skeptic. Not of the technology. Of all the “experts” promising autonomous vehicles would be everywhere by 2020. You didn’t need to be Nostradamus to know that was ridiculous. All you needed was some common sense. By the time I was proven right, I was one year on the…
When it comes to how autonomous vehicles see the world, humans come first, literally. Autonomous vehicles (AVs), like the kind operated by Pittsburgh-based Argo AI, use Machine Learning to detect and classify the objects in their surroundings, identifying people first and then their accessories. For example: a person and a bike. A person and a…
Researchers at Carnegie Mellon University’s Argo AI Center for Autonomous Vehicle Research, a private-public partnership funded by Argo for advancing the autonomous-vehicle (AV) field, say they have come up with a way to use lidar data to visualize not just where other moving objects are currently on the roads — but where they are likely to be several…
“One of the things that I loved about being a student was there were just all of these different ideas,” says Yisong Yue, a professor of Computing and Mathematical Sciences at Caltech. “I loved hearing everyone’s viewpoints, and I continue to value that as a professor.” In addition to having the unique ability to both give…
For experienced drivers, getting from point A to B in a city might seem simple. They survey their surroundings, pick a route, and punch the accelerator. But this process only appears simple because humans are naturally gifted at quickly inferring how others around them are likely to act, so that they can predict their next moves and…
Today, Argo AI announced a new partnership with Lyft that will accelerate our deployment of Ford driverless vehicles for ride-hailing. Through this industry-first collaboration, companies with the three key aspects required to launch, validate and scale an autonomous ride-hailing service in cities are directly working together: the self-driving system developed by the Argo AI team;…
