Driving AI Assistant

The AI Driving Assistant project aims to develop an intelligent system capable of assisting drivers in various scenarios through the implementation of semantic segmentation technology. By leveraging state-of-the-art deep learning techniques and utilizing the Cityscapes dataset, this project endeavors to enhance driver safety, navigation efficiency, and overall driving experience.

Data

https://www.cityscapes-dataset.com

Data Format

{city} _ {seq:0>6} _ {frame:0>6} _ {type}{ext}

• type the type/modality of data, e.g. gtFine for fine ground truth, or leftImg8bit for left 8-bit images.
• city the city in which this part of the dataset was recorded.
• seq the sequence number using 6 digits.
• frame the frame number using 6 digits. Note that in some cities very few, albeit very long sequences were recorded, while in some cities - many short sequences were recorded, of which only the 19th frame is annotated.
• ext the extension of the file and optionally a suffix, e.g. _polygons.json for ground truth files

Models

Vgg16-Unet