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What is NVIDIA DRIVE?

The integration of software transforms a vehicle into an intelligent machine, with the NVIDIA DRIVE™ Software stack acting as an open platform that empowers developers to design and deploy a diverse array of advanced applications for autonomous vehicles, including functions such as perception, localization and mapping, planning and control, driver monitoring, and natural language processing. Central to this software ecosystem is DRIVE OS, hailed as the inaugural operating system specifically engineered for secure accelerated computing. This robust system leverages NvMedia for sensor input processing, NVIDIA CUDA® libraries to enable effective parallel computing, and NVIDIA TensorRT™ for real-time AI inference, along with a variety of tools and modules that unlock hardware capabilities. Building on the foundation of DRIVE OS, the NVIDIA DriveWorks® SDK provides crucial middleware functionalities essential for the advancement of autonomous vehicles. Key features of this SDK include a sensor abstraction layer (SAL), multiple sensor plugins, a data recording system, vehicle I/O support, and a framework for deep neural networks (DNN), all of which are integral to improving the performance and dependability of autonomous systems. By harnessing these powerful resources, developers find themselves better prepared to explore innovative solutions and expand the horizons of automated transportation, fostering a future where smart vehicles can navigate complex environments with greater autonomy and safety.

What is Intrinsic Core?

Intrinsic Core serves as an open-source robotics platform aimed at simplifying and expediting the entire process of developing and deploying robotics applications, from the initial idea to the final execution. It provides a comprehensive array of pre-configured functionalities tailored for critical robotics tasks, including sensor-driven control, perception, motion planning, grasp planning, and simulation, thus freeing developers from the burden of constructing an extensive stack from scratch. The platform boasts a fully-equipped software environment that seamlessly integrates a range of services and capabilities, such as simulation tools, a digital twin, and a hardware-agnostic real-time control framework, which allows for complex integrations to take place. Designed to work harmoniously with ROS and the Open Robotics Suite, Intrinsic Core combines standard workspaces, message definitions, Gazebo simulation, and easily accessible ROS-compatible services. Among its impressive features are accurate detection of 3D object poses utilizing NVIDIA FoundationPose, force-controlled manipulation driven by real sensor data, and the automated planning of collision-free trajectories, alongside a plethora of other sophisticated functionalities. This collection of tools and capabilities not only enhances developer efficiency but also fosters a culture of rapid innovation in the robotics field. As technology continues to evolve, such platforms are pivotal in shaping the future landscape of robotics development.

Media

Media

Integrations Supported

Autogon
Azure IoT Edge
Broxi AI
EyeFlow
MORAI
Maxint
Naptha
OpenLIT
QuarkLink
SQream
ScrapeGraphAI
Solvision Invoicing
SynthID Detector
Tumeryk
UltraDDoS Protect
YeeroAI
io.net
vLLM

Integrations Supported

NVIDIA DRIVE

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/self-driving-cars/drive-platform/software/

Company Facts

Organization Name

Intrinsic

Date Founded

2021

Company Location

United States

Company Website

www.intrinsic.ai/intrinsic-core

Categories and Features

Autonomous Driving

Not specified

Categories and Features

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