Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Mission Management Platform (MMP) is a versatile software suite designed for installation in a modular MSCCS configuration, with no restrictions on the number of control working positions (CWP) it can accommodate. Developed by Nurjana, the NT MMP serves as a framework that also allows for flexible installation in a modular MSCCS setup, maintaining the same lack of limitations on control working positions. The comprehensive features of the MMP software for MSCCS are organized into two main categories of Software Modules, each consisting of various NT standard components, such as libraries and building blocks: Mission Setup and Analysis Applications. Within this framework, the Scenario Definition and Pre-Mission Control Module enables users to establish a Range Abstraction Layer along with the environmental data structures necessary to represent multiple entities involved in a mission, such as geographical terrain, sensors, projectiles, and environmental factors. This Range Abstraction Layer plays a crucial role in synthesizing accurate mission scenarios.
Description
Software transforms a vehicle into a smart machine, and the NVIDIA DRIVE™ Software stack serves as an open platform that enables developers to effectively create and implement a wide range of advanced autonomous vehicle applications, such as perception, localization and mapping, planning and control, driver monitoring, and natural language processing. At the core of this software ecosystem lies DRIVE OS, recognized as the first operating system designed for safe accelerated computing. This system incorporates NvMedia for processing sensor inputs, NVIDIA CUDA® libraries to facilitate efficient parallel computing, and NVIDIA TensorRT™ for real-time artificial intelligence inference, alongside numerous tools and modules that provide access to hardware capabilities. The NVIDIA DriveWorks® SDK builds on DRIVE OS, offering essential middleware functions that are critical for the development of autonomous vehicles. These functions include a sensor abstraction layer (SAL) and various sensor plugins, a data recorder, vehicle I/O support, and a framework for deep neural networks (DNN), all of which are vital for enhancing the performance and reliability of autonomous systems. With these powerful resources, developers are better equipped to innovate and push the boundaries of what's possible in automated transportation.
API Access
Has API
No
API Access
Has API
No
Integrations
APIPark
No
Autogon
No
Aviz Networks
No
BlinqIO
No
CADDIE
No
Celantur
No
Cisco Kinetic
No
Dive
No
DraftAid
No
GradedBlue
No
Integrations
APIPark
Yes
Autogon
Yes
Aviz Networks
Yes
BlinqIO
Yes
CADDIE
Yes
Celantur
Yes
Cisco Kinetic
Yes
Dive
Yes
DraftAid
Yes
GradedBlue
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Nurjana Technologies
Country
Italy
Website
www.nurjanatech.com
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/self-driving-cars/drive-platform/software/
Product Features
Simulation
1D Simulation
No
3D Modeling
No
3D Simulation
No
Agent-Based Modeling
No
Continuous Modeling
No
Design Analysis
No
Direct Manipulation
No
Discrete Event Modeling
No
Dynamic Modeling
No
Graphical Modeling
No
Industry Specific Database
No
Monte Carlo Simulation
No
Motion Modeling
No
Presentation Tools
No
Stochastic Modeling
No
Turbulence Modeling
No