Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Parallel Domain Replica Sim empowers users to create highly detailed, fully annotated simulation environments using their own captured data, such as images, videos, and scans. With this innovative tool, you can achieve near-pixel-perfect recreations of actual scenes, effectively converting them into virtual settings that maintain their visual fidelity and realism. Additionally, PD Sim offers a Python API, allowing teams focused on perception, machine learning, and autonomy to design and execute extensive testing scenarios while simulating various sensor inputs like cameras, lidar, and radar in both open- and closed-loop modes. These simulated sensor data streams come fully annotated, enabling developers to evaluate their perception systems across diverse conditions, including different lighting, weather scenarios, object arrangements, and edge cases. This approach significantly reduces the need for extensive real-world data collection, facilitating quicker and more efficient testing processes. Ultimately, PD Replica not only enhances the accuracy of simulations but also streamlines the development cycle for autonomous systems.
Description
Electromagnetic sensors are composed of two main components: a "front-end" that both generates and detects electromagnetic waves via a subsystem known as the Receiver/Exciter (REX), and a "back-end" responsible for signal and data processing, which is generally carried out through software. Each of these subsystems must be developed independently before they can be seamlessly integrated. The process of creating the complete sensor becomes increasingly complex and time-consuming due to unforeseen challenges that arise during integration testing. This complexity largely stems from the interdependencies between the subsystems that are not easily testable during their individual development phases. As a result, any necessary software updates, configuration adjustments, waveform modifications, and technology upgrades can incur significantly higher costs since they often require on-site verification with the actual front-end hardware. To mitigate these issues, the Virtual Receiver/Exciter (VREX) utilizes a simulated front-end, thus streamlining the testing and integration process. By employing a virtual model, developers can identify and address potential integration issues much earlier in the development cycle.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Python
No
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
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Parallel Domain
Founded
2017
Country
United States
Website
paralleldomain.com/product
Vendor Details
Company Name
FishEye
Website
fisheye.net/products/vrex/
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
Product Features
Simulation
1D Simulation
No
3D Modeling
Yes
3D Simulation
No
Agent-Based Modeling
Yes
Continuous Modeling
No
Design Analysis
No
Direct Manipulation
No
Discrete Event Modeling
No
Dynamic Modeling
No
Graphical Modeling
No
Industry Specific Database
Yes
Monte Carlo Simulation
No
Motion Modeling
No
Presentation Tools
Yes
Stochastic Modeling
No
Turbulence Modeling
Yes