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NVIDIA DRIVE PX
 

SCALABLE SUPERCOMPUTER FOR AUTONOMOUS DRIVING

NVIDIA DRIVE PX - SCALABLE SUPERCOMPUTER FOR AUTONOMOUS DRIVING

The AI Car Computer for Autonomous Driving

NVIDIA DRIVE™ PX is the open AI car computing platform that enables automakers and tier 1 suppliers to accelerate production of automated and autonomous vehicles. It scales from a palm-sized, energy efficient module for AutoCruise capabilities, to a powerful AI supercomputer capable of autonomous driving.

 

DRIVE PX can understand in real-time what's happening around the vehicle, precisely locate itself on an HD map, and plan a safe path forward. It's the world's most advanced self-driving car platform—combining deep learning, sensor fusion, and surround vision to change the driving experience.

 

The scalable architecture is available in a variety of configurations. These range from one passively cooled mobile processor operating at 10 watts, to a multi-chip configuration with two mobile processors and two discrete GPUs delivering 24 trillion deep learning operations per second. Multiple DRIVE PX platforms can be used in parallel to enable fully autonomous driving.

 

With a unified architecture, deep neural networks can be trained on a system in the data center, and then deployed in the car.

 

SENSOR FUSION

 

DRIVE PX systems can fuse data from multiple cameras, as well as lidar, radar, and ultrasonic sensors. This allows algorithms to accurately understand the full 360-degree environment around the car to produce a robust representation, including static and dynamic objects. Use of Deep Neural Networks (DNN) for the detection and classification of objects dramatically increases the accuracy of the resulting fused sensor data.

Computer Vision

Artificial Intelligence and Deep Learning

 

NVIDIA AI platforms are built around deep learning. With a unified architecture, deep neural networks can be trained on a system in the datacenter, and then deployed in the car. NVIDIA DGX Systems can reduce neural network training in the data center from months to just days. The resulting neural net model runs in real-time on NVIDIA DRIVE PX.

See the NVIDIA research paper End-to-End Learning for Self-Driving Car, which details how a convolutional neural network (CNN) was deployed on DRIVE PX to enable a self-driving car.

 

NVIDIA DRIVEWORKS
SOFTWARE DEVELOPMENT KIT

 

NVIDIA DriveWorks is a Software Development Kit (SDK) that contains reference applications, tools and library modules. It also includes a run-time pipeline framework that integrates every aspect of the driving pipeline, from detection to mapping and localization to path planning to visualization. Learn More >

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NVIDIA DRIVEWORKS SOFTWARE DEVELOPMENT KIT
 
END-TO-END HD MAPPING

END-TO-END HD MAPPING

 

NVIDIA offers an end-to-end mapping technology for self-driving cars, designed to help automakers, map companies, and startups rapidly create HD maps and keep them updated. This state-of-the-art technology uses an NVIDIA DRIVE PX AI supercomputer in the car, coupled with NVIDIA Tesla GPUs in the data center, to create highly detailed maps. Learn more >

 

THE DRIVE PX FAMILY

 
DRIVE PX Xavier

DRIVE PX Xavier

DRIVE PX Xavier will deliver 20 TOPS of performance, while consuming only 20 watts of power. Packed with 7 billion transistors, a single Xavier AI processor will be able to replace today’s DRIVE PX configured with dual mobile SoCs and dual discrete GPUs — at a fraction of the power consumption. Available Q4 of 2017. Learn More >

 

DRIVE PX FOR AUTOCHAUFFEUR

DRIVE PX configuration with two SoCs and two discrete GPUs is available today for point-to-point travel.

DRIVE PX FOR AUTOCHAUFFEUR
 
DRIVE PX  FOR AUTOCRUISE

DRIVE PX FOR AUTOCRUISE

Small form factor DRIVE PX for AutoCruise is designed to handle functions including highway automated driving, as well as HD mapping.

 

NVIDIA shared its vision for reinventing transportation at the CES opening keynote

 
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