Vehicle Detection with SVM + Advanced Lane Finding
The goals/steps of this project are the following:
Perform a Histogram of Oriented Gradients (HOG) feature extraction on a labeled training set of images and train a classifier Linear SVM classifier.
Apply a color transform and append binned color features, as well as histograms of color, to HOG feature vector.
Normalize features and randomize a selection for training and testing.
Implement a sliding-window technique and use trained classifier to search for vehicles in images.
Run pipeline on a video stream and create a heat map of recurring detections frame by frame to reject outliers and follow detected vehicles.
Estimate a bounding box for vehicles detected.
Add Advanced Lane Finding pipeline.
GitHub Repository: https://github.com/olpotkin/Vehicle-D...