Compute time-to-collision (TTC) using Lidar and Camera sensors. Identify suitable keypoint detector-descriptor combinations for TTC estimation.

Detect and track objects from the benchmark KITTI dataset. Classify those objects and project them into three dimensions. Fuse those projections together with LiDAR data to create 3D objects to track over time.

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

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

Loads images into a ring buffer to optimize memory load and then integrate several keypoint detectors such as HARRIS, FAST, BRISK and SIFT and compares them with regard to number of keypoints and speed.

Projects Implemented for the Udacity Sensor Fusion Engineer Nanodegree Program

Time to collision based on lidar and camera data.