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What is NVIDIA Holoscan?

The NVIDIA® Holoscan platform serves as a highly adaptable AI computing solution, offering a robust infrastructure designed for the accelerated and real-time processing of streaming data, whether at the edge or within cloud environments. With capabilities for video capture and data acquisition through support for serial interfaces and a variety of front-end sensors, it proves valuable for applications like ultrasound research and the integration of legacy medical devices. Users can take advantage of the data transfer latency tool included in the NVIDIA Holoscan SDK, which provides precise insights into the end-to-end latency linked to video processing tasks. Furthermore, the platform includes AI reference pipelines tailored for various applications such as radar, high-energy light sources, endoscopy, and ultrasound, thereby addressing a wide spectrum of streaming video requirements. Equipped with specialized libraries, NVIDIA Holoscan enhances network connectivity, data processing efficiency, and AI features, while also offering practical examples to assist developers in crafting and deploying low-latency data-streaming applications using C++, Python, or Graph Composer. This powerful toolset allows users to achieve seamless integration, ensuring optimal performance across multiple domains while fostering innovation in their respective fields. Overall, NVIDIA Holoscan stands out as a comprehensive solution that meets the diverse demands of modern data processing and AI applications.

What is NVIDIA DRIVE Map?

NVIDIA DRIVE® Map is a sophisticated mapping solution specifically designed to bolster vehicle autonomy while prioritizing safety. It combines accurate ground truth mapping with the nimbleness and extensiveness of AI-powered fleet-generated mapping, yielding impressive outcomes. The platform incorporates four unique localization layers—camera, lidar, radar, and GNSS—offering essential redundancy and adaptability for advanced AI-driven systems. Emphasizing unparalleled accuracy, the ground truth map engine creates DRIVE Maps by synthesizing data from various sensors, such as cameras, radars, lidars, and differential GNSS/IMU, all collected via NVIDIA DRIVE Hyperion data collection vehicles. It achieves remarkable precision of under 5 cm, especially in high autonomy contexts (L3/L4), in settings like urban landscapes and highways. Tailored for swift performance and global compatibility, DRIVE Map takes advantage of both ground truth and fleet-generated data, representing the collective intelligence of millions of vehicles on the road. This cutting-edge methodology not only improves mapping accuracy but also plays a vital role in advancing the future of autonomous driving technology, paving the way for safer roadways and smarter transport systems.

Media

Media

Integrations Supported

Baidu
C++
NVIDIA Clara
Python
Simulink

Integrations Supported

Baidu
C++
NVIDIA Clara
Python
Simulink

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/holoscan-sdk

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/self-driving-cars/hd-mapping/

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Categories and Features

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