Mathworks will be joining Innovatrix as a Silver Sponsor for the 4th Autonomous Off-Highway Machinery Technology Summit, taking place in Berlin, Germany on May 21-22, 2025. 

MathWorks is the leading developer of mathematical computing software. Engineers and scientists worldwide rely on its products to accelerate the pace of discovery, innovation, and development. MathWorks believe in the importance of engineers and scientists, they created MATLAB and Simulink to help them do their best work. MATLAB, the language of technical computing, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. 

MATLAB, Simulink, and RoadRunner advance the design of automated driving perception, planning, and control systems by enabling engineers to gain insight into real-world behavior, reduce vehicle testing, and verify the functionality of embedded software. With MATLAB, Simulink, and RoadRunner, users can:

• Access, visualize, and label data
• Simulate driving scenarios
• Design planning and control algorithms
• Design perception algorithms
• Deploy algorithms using code generation
• Integrate and test

Simulate Driving Scenarios

The cuboid and Unreal Engine simulation environments with MATLAB can be used to develop and test algorithms in virtual scenarios. The cuboid environment represents actors as simple graphics and uses probabilistic sensor models. This environment cab be used for controls, sensor fusion, and motion planning. The Unreal Engine environment can develop algorithms for perception and the cuboid-environment use-cases. 

Design Planning and Control Algorithms

MATLAB and Simulink can develop path planning and control algorithms. Vehicle control systems can designed using lateral and longitudinal controllers that enable autonomous vehicles to follow a planned trajectory.

Design Perception Algorithms

Develop perception algorithms using data from camera, lidar, and radar. Perception algorithms include detection, tracking, and localization, which can be used for applications like automatic braking, steering, map building, and odometry. MATLAB can develop algorithms for sensor fusion, simultaneous localization and mapping (SLAM), map building, and odometry.

Deploy Algorithms

Deploy perception, planning, and control algorithms to hardware using code generation workflows. Supported code generation languages include C, C++, CUDA, Verilog, and VHDL®. Algorithms can be deployed to service-oriented architectures like ROS and AUTOSAR. Auto-generated code can connect sensors with other ECU components. Several deployment targets are supported, including hardware from NVIDIA, Intel, ARM, and more.

Integrate and Test

Integrate and test your perception, planning, and control systems. Requirements Toolbox can capture and manage your requirements. Simulink Test can also be used to run and automate test cases in parallel.

Automated Driving Toolbox

Automated Driving Toolbox™ provides algorithms and tools for designing, simulating, and testing ADAS and autonomous driving systems. Users can design and test vision and lidar perception systems, as well as sensor fusion, path planning, and vehicle controllers. Visualization tools include a bird’s-eye-view plot and scope for sensor coverage, detections and tracks, and displays for video, lidar, and maps. The toolbox lets users import and work with HERE HD Live Map data and ASAM OpenDRIVE® road networks.

Connect with Mathworks here to discover how they can help use their expertise to support your leap into an autonomous future.

To meet with Mathworks and discuss your off-highway vehicle solution needs, network with peers and solution providers and attend talks from industry leaders, book your place to attend the 4th Autonomous Off-Highway Machinery Technology Summit will be taking place May 21-22, 2025 in Berlin, Germany.

For more information, click here or email us at info@innovatrix.eu for the