Compute time-to-collision (TTC) using Lidar and Camera sensors. Identify suitable keypoint detector-descriptor combinations for TTC estimation.
-
Updated
Jan 19, 2021 - C++
Compute time-to-collision (TTC) using Lidar and Camera sensors. Identify suitable keypoint detector-descriptor combinations for TTC estimation.
Project: 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree
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.
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.
Add a description, image, and links to the time-to-collision topic page so that developers can more easily learn about it.
To associate your repository with the time-to-collision topic, visit your repo's landing page and select "manage topics."