Gray terrain basemap data for geographic visualization

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

A collection of standard drive cycles and maneuvers

Land cover basemap data for geographic visualization

Pretrained NasNet-Mobile network model for image classification

Pretrained NasNet-Large network model for image classification

Pretrained GoogLeNet network trained on Places365 data set for image classification

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

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

Debug and test HDL code on Microchip FPGAs using FPGA-in-the-loop

Import, visualize, process, analyze and export hyperspectral data

Gray land, white water basemap data for geographic visualization

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

This single MATLAB file generates the nonlinear dynamics of any manipulator which obeys Denavit-Hartenberg parameters.

Verify and test robustness of deep learning networks, deploy with confidence

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

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

Pretrained ShuffleNet model for image classification

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