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

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

Pretrained DarkNet-19 network model for image classification

Pretrained MobileNet-v2 model for image classification

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

Pretrained MobileNet-v2 model for image classification

Import, visualize, process, analyze and export hyperspectral data

A collection of standard drive cycles and maneuvers

JOS in optimization : A well-match joint of Selective Leading Opposition (SLO) and Dynamic Opposite (DO) for optimization.

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

Pretrained ShuffleNet model for image classification

Control NI-FGEN devices and create arbitrary waveforms.

Import, visualize, process, analyze and export hyperspectral data

Pretrained DarkNet-19 network model for image classification

Pre-trained SOLOv2 for instance segmentation.

Pretrained NasNet-Large network model for image classification

Pretrained Resnet-101 network model for image classification

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

Import, visualize, process, analyze and export hyperspectral data

Pretrained EfficientNet-b0 model for image classification

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