vehicle-detection

Why we included this project

This repo is the vehicle-detection project from Udacity's Self-Driving Car Engineer Nanodegree, delivered as a Jupyter notebook that walks through the whole pipeline in plain code. You get HOG feature extraction, color-space conversion, a linear SVM classifier, and a sliding-window scan over video frames, all assembled with sklearn and OpenCV rather than hidden behind a black-box model. The feature-extraction utilities are reusable if you want to build your own detector, and the notes point to the GTI and KITTI datasets for training images. If you are working through the Udacity curriculum yourself, or just curious how object detection worked before deep learning took over, this is a handy reference to have open.