There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Repository Details
This is the fifth and final project of Term 1 that is submitted towards completing Self Driving Car Nanodegree from Udacity. In this project, we used widely used HOG feature extraction technique to detect vehicles on the road. This is a difficult especially when it comes to detecting vehicles in a video stream because the shape, size and distance of the car from the camera is rapidly changing. The pipeline developed is mostly based on the classroom codes, it is not expected to work very efficient. Yet, it is good enough to train a classifier and detect multiple vehicles.
