tatsuyah/vehicle-detection
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Combines HOG feature extraction, spatial binning, and color histogram analysis to train a Linear SVM classifier on vehicle vs. non-vehicle image datasets from GTI and KITTI. Implements a sliding window detection pipeline with multi-channel processing across YUV, HSV, and other color spaces, enabling configurable feature extraction parameters for real-time video frame analysis.
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