Yongtao Liu is an R&D staff member at Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences (CNMS). In the Data NanoAnalytics Group, he is helping nanomaterials research move toward ...
Explore how self driving cars and autonomous vehicles use self driving car sensors, lidar radar cameras, and autonomous driving technology to perceive roads, make decisions, and enhance safety.
Outside my door in Austin, Texas, a portentous transportation choice is playing out. One path points to a light-rail system that’s been in the works for a quarter of a century and hasn’t broken ground ...
Tesla is edging closer to what it calls unsupervised self-driving, but the reality on the road is far narrower than the sweeping promise of cars that can simply head out alone. Limited robotaxi trials ...
Tech Xplore on MSN
Self‑driving cars struggle to see at night or in fog—but imitating the human brain can make them safe
Picture this: you're driving on a mountain road, when you suddenly hit a thick patch of fog. You respond instinctively. Your ...
Today, the unmanned vehicles circulating on American highways and side streets are a fraction of what executives promised in the giddy early days of the technology’s development. But when will drivers ...
Uber wants to capitalize on the emergence of self-driving cars — not by handing the wheel to AI-powered drivers, but rather by tapping the mountain of potentially valuable data the rideshare company ...
Hosted on MSN
How self-driving cars actually work
Self-driving cars often seem like something pulled straight from science fiction. The idea that a vehicle can steer, brake, and navigate traffic without human input still feels futuristic to many ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results