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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 Applanix POSPac?

Applanix POSPac is at the pinnacle of software technology for the direct georeferencing of mobile mapping sensors that leverage GNSS and inertial systems. This robust software is designed for versatility, accommodating a variety of platforms and environments such as aerial, terrestrial, and maritime applications, while also supporting an extensive array of mapping devices. By providing optimal accuracy and efficiency in direct georeferencing, Applanix POSPac has established itself as a leading solution in the industry. Consider enhancing your license by incorporating Applanix POSPac PP-RTX today. When it comes to creating spatial intelligence through mobile mapping, as well as facilitating navigation, guidance, and control for Autonomous Vehicles (AVs) or in tracking fleets and assets, the advanced Applanix IN-Fusion+ technology ensures precise and continuous spatial measurements. In addition to this, our newly released white paper explores various data collection methodologies, discussing their advantages and drawbacks, and illustrating how Applanix’s groundbreaking technology achieves exceptional outcomes across all sensor categories. By adopting these cutting-edge advancements, users can greatly improve the quality and dependability of their spatial data collection efforts, ultimately leading to more effective project outcomes. Embracing these innovations not only enhances data reliability but also drives efficiency in operational processes.

Media

Media

Integrations Supported

Alibaba Cloud SSL Certificates Service
Artemis
BriefCam
Broxi AI
Cognata
Echo AI
EyeFlow
Fiddler AI
Google Cloud Confidential VMs
GridMatrix
Ludeo
Magic Bullet
Mistral NeMo
Polargrid
ReadyBase
SydeLabs
Voicy.ai
harrison.ai
phoenixNAP

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
On-Site 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

Trimble Applanix

Company Location

United States

Company Website

www.applanix.com/products/pospac-mms.htm

Categories and Features

Autonomous Driving

Not specified

Categories and Features

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