autonomous-driving-scene-segmentation

Here is 1 public repository matching this topic...

Awais-Asghar / Autonomous-Driving-Scene-Segmentation-with-U-Net

This project uses a U Net based deep learning model to perform pixel level semantic segmentation on CARLA simulator images. The goal is to classify each pixel of a driving scene into categories such as road, vehicles, pedestrians, buildings, vegetation, and background.

python pytorch autonomous-driving unet-pytorch unet-image-segmentation carla-driving-simulator image-segmentation-pytorch autonomous-driving-scene-segmentation

Updated Dec 7, 2025
Jupyter Notebook

Add this topic to your repo

To associate your repository with the autonomous-driving-scene-segmentation topic, visit your repo's landing page and select "manage topics."

Learn more