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VEHICLES

Autonomous

Autonomy Won’t Happen By Itself

Developing autonomous vehicles is difficult with complex sensor arrays and algorithms working in coordination to ensure safe and efficient operation in all situations. Simulation is an important tool for engineers to perform tests that wouldn’t be achievable in the real world. Despite great advancements in autonomous road vehicles, off-highway autonomous systems have their own challenges. Task-specific vehicles and robots feature even more complexity than their on-road counterparts, requiring their own specialized simulation tools.

OPAL-RT is proud to offer both on and off-highway autonomous system engineers a flexible and open simulation platform. Featuring a real-time capable 3D environment with sensor simulation, including cameras and LiDAR, users can create countless autonomous vehicle scenarios. Need to connect an existing electromechanical Hardware-in-the-Loop simulation or other real-time models? We’ve got you covered with one of the simulation market’s most flexible co-simulation environments.

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A Flexible 3D Environment Framework featuring Sensor Simulation

With OPAL-RT you can create Software-in-the-Loop and Hardware-in-the-Loop simulations to accelerate your autonomous vehicle project timelines, while increasing quality and reducing overall costs.

Hardware-in-the-Loop simulations for autonomous vehicles

Simulating Agricultural Autonomous Systems with 4DV-SIM

OPAL-RT offers 4DV-SIM, a high-fidelity, 3D environment simulator made for on and off-road autonomous vehicles and robotics systems featuring a wide range of sensors, including cameras, LiDAR, IMUs and GNSS.



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Helping Innovators Across Different Fields

Since 1997, OPAL-RT has 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.

Automotive

Off-Highway

Military

UAVs

Smart Cities

4DV-SIM Solution Highlights

Sensors & Data Fusion

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





Deep Learning

Reduce risks and accelarate time-to-market by simulating deep learning models. OPAL-RT’s 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, Automotive Ethernet, and perform the most realistic real-time simulations possible.




4DV-SIM: 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.

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. 

Part 1 features an overview of autonomous vehicles, challenges, and simulation applications, such as Software-in-the-Loop (SIL).

Part 2 presents an in-depth demonstration of 4DV-SIM and its core functionality.

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AVP: 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. The AVP is a complete hardware/software, X-in-the-loop capable platform (where X can be Model, Driver, Software, Hardware) allowing researchers and developers to design, train, and evaluate the performance of autonomous systems in a virtual environment.

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