Implements the frequency domain form of proper orthogonal decomposition (POD)

Pretrained DarkNet-19 network model for image classification

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

Generate code optimized for Infineon AURIX TC4x Microcontrollers

Generate code optimized for Infineon AURIX TC3x Microcontrollers

Gray terrain basemap data for geographic visualization

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

Pretrained DarkNet-53 network model for image classification

Non-linear 3D FE Solver for Steel and Concrete (with Parallel Computing)

Design, analyze, and prototype for Embedded Linux devices

Pretrained EfficientNet-b0 model for image classification

Pretrained DarkNet-53 network model for image classification

Pretrained DarkNet-19 network model for image classification

Acquire and analyze data from Analog Devices ADALM1000 devices.

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

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

Debug and test HDL code on Intel FPGAs and SoC FPGAs

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

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

A collection of standard drive cycles and maneuvers