NVIDIA Drive PX

From Nvidia's CES press conference:

The DRIVE PX platform is based on the NVIDIA® Tegra® X1 processor, enabling smarter, more sophisticated advanced driver assistance systems (ADAS) and paving the way for the autonomous car. 
Tegra X1 delivers an astonishing 1.3 gigapixels/second throughput – enough to handle 12 two-Megapixel cameras at frame rates up to 60 fps for some cameras. It is equipped with 10 GB of DRAM memory and combines surround Computer Vision (CV) technology, extensive deep learning training, and over-the-air updates to transform how cars see, think, and learn.

DEEP LEARNING COMPUTER VISION

Conventional ADAS technology today can detect some objects, do basic classification, alert the driver, and in some cases, stop the vehicle. DRIVE PX takes this to the next level with the ability to differentiate an ambulance from a delivery truck or a parked car from one about to pull into traffic. The system can now inform the driver, not just get their attention with a warning. The car is not just sensing, but interpreting what is taking place around it—an essential capability for auto-piloted driving... (more info)

Comments (0)

This post does not have any comments. Be the first to leave a comment below.


Post A Comment

You must be logged in before you can post a comment. Login now.

Featured Product

Datanomix Production Monitoring

Datanomix Production Monitoring

Datanomix Production Monitoring delivers instant visibility into your shop floor performance. Through real-time alerts, simple machine connectivity, and our kick-ass coaching, you'll catch inefficiencies early, align your team with meaningful metrics, and respond faster to issues before they escalate. The software adapts without operator input and works out of the box with purpose-built Tracks (Efficiency, Delivery, Tooling, and more). Production Monitoring arms you with the data to make more, waste less, and lead with confidence. And while real-time visibility keeps you sharp in the moment, historical insights ensure you're learning from the past to drive ongoing continuous improvement.