Pretrained NasNet-Large network model for image classification

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

Automatically program the VEX EDR V5 Robot Brain using Simulink

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

Pretrained Xception model for image classification

Acquire and analyze data from Analog Devices ADALM1000 devices.

Pretrained DarkNet-53 network model for image classification

NVIDIA GPU Support from GPU Coder

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

A collection of standard drive cycles and maneuvers

Control Parrot drones from MATLAB and acquire sensor data

Land cover basemap data for geographic visualization

Control instruments using Rohde & Schwarz VISA (R&SVISA)

Design, analyze, and prototype for Embedded Linux devices

Pretrained EfficientNet-b0 model for image classification

Connect to Velodyne LiDAR sensors and stream point clouds directly into MATLAB for processing and visualization

Pretrained DarkNet-19 network model for image classification

Pretrained MobileNet-v2 model for image classification