Autonomy won't happen by itself

Off-highway and task-specific autonomous vehicles bring unique challenges: ones that standard simulation tools often can’t handle. Our open simulation platform is built to meet those demands.

With a real-time 3D environment and advanced sensor simulation, including LiDAR and cameras, you can design and test countless AV scenarios before hitting the field. Easily integrate with your existing HIL setups and real-time models for a seamless development workflow.

Download brochure

They trust us

AUTONOMOUS SYSTEM TESTING

A flexible 3D environment framework featuring sensor simulation

Create software-in-the-loop and hardware-in-the-loop simulations to accelerate your autonomous vehicle project timelines, while increasing quality and reducing costs.

Autonomous vehicle simulation diagram showing OPAL-RT’s 3D simulation environment for agriculture, with integrated real-time HIL simulation, 4D-V simulator, sensor signal injection, software-in-the-loop (SIL), and electromechanical subsystems for testing electric vehicles and ADAS ECUs.

4DV-SIM

Simulating agricultural autonomous systems with 4DV-SIM

Want to speed up your autonomous vehicle or robotics development without the risks of real-world testing? In this video, discover how OPAL-RT’s 4DV-SIM gives you a high-fidelity 3D simulation environment designed for both on-road and off-road systems. With built-in support for advanced sensors like cameras, LiDAR, IMUs, and GNSS, you’ll see how easily you can simulate complex scenarios, validate performance, and move from concept to deployment with greater speed and confidence.

APPLICATIONS

Helping innovators across different fields

Since 1997, we’ve helped thousands of innovators in different sectors bring their research and products to the world using real-time simulation. We are proud to continue this tradition with leaders in autonomous systems.

Defense & military

Mining

Agriculture

Airport

TECHNICAL DETAILS

The 4DV-SIM solution

Sensors & data fusion

Simulate multiple sensors such as camera, GNSS, LiDARs, and RADARs to estimate distances, velocities, and other data in a 3D environment. In addition, combine these different sources of data in order to make predictions or decisions.

Deep learning

Reduce risks and accelerate time-to-market by simulating deep learning models. Our solution helps engineers to improve the accuracy when the vehicle is reading and detecting pedestrians, environment signs, and objects.

Communication protocols

Emulate industry-standard communication protocols such as CAN/CAN-FD/CANopen, Lin, or Automotive Ethernet, and perform the most realistic real-time simulations possible.

SEAMLESS MODEL INTEGRATION

An open simulation environment

With 4DV-SIM, users can import a wide range of model and GIS files, co-simulate with common autonomous systems and robotics tools, such as ROS, and connect easily with external systems and software.

Diagram showing the 4DV-SIM environment for test bench and 3D simulation, highlighting import of 3D, CAD, GIS, and ROS models, integration with HIL/SIL simulators, co-simulation with tools like Simulink and ROS, and export of data and AI-annotated image databases.

Demo

A driver-in-the-loop simulator for autonomous vehicles research

In this demo, we show the closed-loop functionalities of the Autonomous Vehicle Platform (AVP), showcasing a Driver-in-the-loop configuration and perception model and retrieving sensor data in real time.

Let’s get to work

Whether you need more details or have a specific question, our experts are here to help. Contact us today for personalized support.