Implementation of several variants of the vision transformer (ViT) model.

Control Ryze Tello drones from MATLAB and acquire sensor and image data

Use NI-845x I2C/SPI devices to connect to your chips, circuit boards, sensors.

Customize scenes in Unreal® Editor for co-simulation with Simulink®.

Use GPU Coder to generate optimized CUDA code for deep learning networks

Incorporate pre-trained TensorFlow Lite (TFLite) models into MATLAB and Simulink applications for simulation and deployment to hardware.

Add analytics to your Kafka streaming pipeline with MATLAB Production Server, and interact with Kafka streams using the MATLAB desktop.

Import OpenCV functions into Simulink.

Identify anomalies or defects in images to assist and improve quality assurance processes.

Gray land, white water basemap data for geographic visualization

A collection of standard drive cycles (vehicle speed vs. time)

A collection of standard drive cycles and maneuvers

Pre-trained Segment Anything Model for instance segmentation

Create driving scenarios using imported road data from Zenrin Japan Map API 3.0 (Itsumo NAVI API 3.0).

Build, Simulate, and Run Quantum Algorithms

Gray terrain basemap data for geographic visualization

Pre-trained SOLOv2 for instance segmentation.

Tools to compile a real-time application that runs on a Speedgoat target computer

Import, plot and fit tire data for use with Vehicle Dynamics Blockset and Simscape tire models

Build simulation scenarios from real-world vehicle data recorded from GPS, IMU, camera, and lidar sensors