3 Approaches to Vehicle Detection and Tracking – Self-Driving Cars – Medium

Three Udacity students each took different approaches to vehicle detection and tracking -- some using deep learning and others using standard computer vision. Ivan has a terrific writeup of how to use deep learning for vehicle detection. He builds a model based on Faster-RCNN, but smaller and faster. Martijn uses a HOG and SVM approach to build a vehicle detection pipeline. He encountered some issues with noise and finds a creative solution.