Project: 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree

3D object tracking using keypoint detection and feature matching, lidar point cloud data, and image classification using YOLO deep learning model.

The idea of the camera course is to build a collision detection system. You will now build the feature tracking part and test various detector / descriptor combinations to see which ones perform best.

Tracking the preceding vehicle using Lidar and camera sensors to calculate the Time To Collision (TTC).

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Testing various detector / descriptor combinations to see which ones perform best to be used in a collision detection system. Also 2 different approaches (FLANN vs. Brute-force with the descriptor distance ratio test) for keypoints matching are tested.