A self-driving car’s view of the world often includes bounding boxes — cars, pedestrians and stop signs neatly… Read article >
DRIVE Labs
MOST POPULAR
Searching for a Parking Spot? AI Got It
Editor’s note: This is the latest post in our NVIDIA DRIVE Labs series, which takes an engineering-focused look at individual autonomous vehicle challenges and how NVIDIA DRIVE addresses them. Catch up… Read article >
Taking It to the Streets: Ride in an NVIDIA Self-Driving Car with DRIVE Labs
Editor’s note: This is the latest post in our NVIDIA DRIVE Labs series, which takes an engineering-focused look at individual autonomous vehicle challenges and how NVIDIA DRIVE addresses them. Catch up… Read article >
Read Between the Lines: How We Taught Neural Nets to Predict Lane Lines
Lane markings are critical guides for autonomous vehicles, providing vital context for where they are and where they’re going. That’s why detecting them with pixel-level precision is fundamentally important for… Read article >
To Go the Distance, We Built Systems That Could Better Perceive It
Simple rule: If you can’t judge distances you shouldn’t drive. The problem: judging distances is anything but simple. We humans, of course, have two high-resolution, highly synchronized visual sensors —… Read article >
DRIVE Labs: Predicting the Future with RNNs
Autonomous vehicles must use c… Read article >
DRIVE Labs: Pursuing Perfection for Intersection Detection
Navigating a traffic-light con… Read article >
DRIVE Labs: How We’re Building Path Perception for Autonomous Vehicles
Having confidence in a self-driving car’s ability to use data to perceive and choose the correct drivable path while the car is driving is critical. We call this path perception… Read article >