Automated Driving Using Deep Learning

Extend deep learning workflows with automated driving applications

Apply deep learning to automated driving applications by using Deep Learning Toolbox™ together with Automated Driving Toolbox™.


Train a Deep Learning Vehicle Detector

This example shows how to train a vision-based vehicle detector using deep learning.

Create Occupancy Grid Using Monocular Camera and Semantic Segmentation

This example shows how to estimate free space and create an occupancy grid using semantic segmentation and deep learning.

Automate Ground Truth Labeling for Semantic Segmentation (Automated Driving Toolbox)

Use a pretrained semantic segmentation algorithm to segment an image, and use this algorithm to automate ground truth labeling.

Track Multiple Vehicles Using a Camera (Automated Driving Toolbox)

Detect and track multiple vehicles with a monocular camera mounted in a vehicle.

Featured Examples