6. Resources and Customer Stories
Offroad Autonomy Support Package
The Robotics System Toolbox™ Offroad Autonomy Library enables the development of automated and autonomous systems for offroad vehicles and heavy machinery in construction, mining, and agriculture applications. This support package provides tools and algorithms for designing, simulating, and testing offroad vehicle applications. Integration with Unreal Engine® facilitates photorealistic 3D simulation and visualization, letting you test and refine the performance of offroad vehicles, such as dump trucks and backhoes, under diverse conditions. You can simulate INS, camera, and Lidar sensor outputs in prebuilt or custom-designed scenes within the Unreal® Editor.
Customer Stories
Autonomous Electric Tractor Brings AI to the Field
The driver-optional electric tractor analyzes data on pests and plant health, reduces emissions, and conserves resources.
Sumitomo Heavy Industries engineers used Model-Based Design with Simulink to accelerate the design and implementation of embedded engine control software for hydraulic excavators.
MCI, Prinoth, and Liebherr Develop Digital Twins to Help Develop Tracked Vehicles
Using MATLAB and Simscape, the Digital Twin Lab at MCI cooperated with commercial partners Prinoth and Liebherr to build digital twins of tracked vehicles.
In collaboration with MathWorks, an interface for machine learning, visualization, and code generation was developed, enabling function developers to use the labeled ground-truth for training, validating, and deploying classifiers.
CNH Develops Intelligent Filling System for Forage Harvesters
CNH used Model-Based Design to implement an automated control system that uses 3D camera data to position the filler spout.
Additional Learning Resources
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