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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.

What is eyecad VR?

Eyecad VR has been engineered to create renderings, videos, and immersive experiences specifically for the fields of architecture and design. It offers breathtaking photorealistic visuals in real time, bolstered by a smooth and effective workflow. Designed by professionals for professionals, Eyecad VR tackles the unique challenges that arise in everyday design tasks, which are often overlooked by those outside the industry. The platform employs a simple three-step method: “import,” “configure,” and “render,” making it accessible to users at various skill levels. With Eyecad VR, individuals can either work solo or engage in collaborative efforts while enjoying comprehensive control over every element of visualization throughout the project lifecycle. To run this software effectively, a system must meet certain specifications, including at least an Intel i5 CPU or superior, a GPU with 4 GB that supports DirectX 11, and a minimum of 8 GB of RAM, in addition to 5 GB of free storage space. Moreover, a dependable internet connection is essential, and the setup should feature an Nvidia GTX series GPU starting from the 970 model or an equivalent AMD card, along with an Nvidia RTX series GPU from the 2070 model upwards or a similar AMD graphics option. Meeting these requirements ensures designers can maximize performance and quality in each project they undertake while staying ahead in a competitive industry. By prioritizing both functionality and visual excellence, Eyecad VR empowers architects and designers to bring their visions to life with unmatched clarity and precision.

Media

Media

Integrations Supported

Baidu
Simulink

Integrations Supported

Blender
Maya
Revit
SketchUp

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Windows
Mac

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

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

Company Facts

Organization Name

Eyecad VR

Company Location

Italy

Company Website

eyecadvr.com

Categories and Features

Autonomous Driving

Not specified

LiDAR

Not specified

Categories and Features

Virtual Reality

Not specified

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