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

Pre-trained Segment Anything Model for instance segmentation

Pretrained Xception model for image classification

Pretrained Inception-ResNet-v2 network model for image classification

Debug and test HDL code on Intel FPGAs and SoC FPGAs

Pretrained GoogLeNet network trained on Places365 data set for image classification

A collection of standard drive cycles and maneuvers

Generate code optimized for Infineon AURIX TC4x Microcontrollers

Pretrained DarkNet-19 network model for image classification

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

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

Pretrained NasNet-Mobile network model for image classification

Pretrained DarkNet-53 network model for image classification

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

Design, analyze, and prototype for Embedded Linux devices

Acquire video and images from Teledyne DALSA Sapera cameras.

Pretrained BERT-Base Network for MATLAB

The "Model Risk Manager for MATLAB" add-on is designed to help users manage, assess, and mitigate risks associated with financial models

Design, analyze, and prototype for Intel SoC and FPGA devices