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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

MORAI presents an innovative digital twin simulation platform designed to expedite the development and evaluation of autonomous vehicles, urban air mobility solutions, and maritime autonomous surface vessels. This platform utilizes high-definition mapping and an advanced physics engine to seamlessly connect real-world applications with simulated testing environments, ensuring all critical components for validating autonomous systems are included, such as those for self-driving cars, drones, and unmanned marine vehicles. It features a comprehensive array of sensor models, which encompass cameras, LiDAR, GPS, radar, and Inertial Measurement Units (IMUs). Users have the capability to create intricate and varied testing scenarios derived from actual data, including those based on logs and edge cases. Furthermore, MORAI's cloud-based simulation framework enables safe, efficient, and scalable testing processes, allowing multiple simulations to operate simultaneously while assessing various scenarios in parallel. This robust infrastructure not only enhances the reliability of testing but also significantly reduces the time and costs associated with the development of autonomous technologies.

Description

WaveFarer is an advanced radar simulation tool that effectively models multipath effects and scattering caused by nearby structures and vehicles, as well as crucial atmospheric impacts for frequencies that can exceed 100 GHz. Its diverse applications range from simulating automotive driving conditions to enhancing indoor sensor functionalities and analyzing far-field radar cross sections (RCS). The capabilities of WaveFarer facilitate prompt and precise evaluations of scenarios where radars are situated in close quarters with various structures, targets, and environmental features. Tailored to meet the needs of radar system simulation, WaveFarer aids in assessing the optimal placement of automotive radar sensors and interpreting target returns in virtual driving environments. Additionally, it provides valuable insights for surveillance radar applications by examining the RCS of targets and how different materials can influence measurement outcomes, ensuring a comprehensive understanding of radar interactions in various contexts. With its robust features, WaveFarer stands out as a vital tool for radar analysis and simulation across multiple domains.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

NVIDIA DRIVE
42dot
Amazon Web Services (AWS)
Ansys Cloud Direct
Red Hat Enterprise Linux

Integrations

NVIDIA DRIVE
42dot
Amazon Web Services (AWS)
Ansys Cloud Direct
Red Hat Enterprise Linux

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

MORAI

Founded

2018

Country

South Korea

Website

www.morai.ai/

Vendor Details

Company Name

Remcom

Founded

1994

Country

United States

Website

www.remcom.com/wavefarer-automotive-radar-software

Product Features

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

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