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.

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.

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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.

Webinar

Advancing off-highway vehicle autonomy through simulation

Learn more about 4DV-SIM by watching our webinar on the use of simulation to develop autonomous off-highway vehicles and robots.

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.

FAQ

Find the answers to your questions

How does OPAL-RT help accelerate autonomous vehicle development?

We provide a real-time 3D simulation platform that allows you to design, test, and validate autonomous systems before field deployment. With support for LiDAR, cameras, GNSS, and more, our tools help you simulate complex, real-world scenarios, integrate with your HIL or SIL setup, and move from concept to implementation faster and more safely.

What makes 4DV-SIM different from traditional AV simulation tools?

4DV-SIM is explicitly built for off-highway and task-specific vehicles, where traditional road-focused simulators fall short. We offer a high-fidelity, physics-based 3D environment with advanced sensor modeling and real-time integration capabilities, making it easier to test perception, control, and safety logic in challenging, unstructured terrains.

Can I integrate OPAL-RT’s simulation platform with ROS and other standard tools?

Yes, our platform is open and flexible. You can co-simulate with ROS, import CAD and GIS models, and integrate with tools like Simulink, Python, and real-time controllers. We make it easy to connect your software and hardware components into one cohesive testing workflow.

How do you support AI and deep learning in autonomous systems testing?

We allow you to test and validate AI models directly in our simulation environment. Simulating pedestrian behavior, signs, terrain, and other dynamic objects can improve perception accuracy and decision-making performance before deployment. This helps reduce development risks and enhances the reliability of your deep learning models.

Who is using OPAL-RT’s autonomy solutions in real-world projects?

Organizations like Safran, Valeo, Michelin, and Milrem Robotics are already using our solutions to develop and validate advanced autonomous systems across agriculture, defense, public transit, and robotics. They trust us because our real-time simulation tools help them prototype faster, test more safely, and bring high-performance autonomy to life.

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.