Bebop

Drones for video surveillance applications

The final objective of this project is to provide autonomy to a drone, in order to do video surveillance tasks with it. The main tasks are people detection and people tracking using the video stream given by the onboard drone camera. To do this, computer vision and machine learning algorithms are used.

Egomotion estimation methods for drones

This project integrates the bebop_autonomy package with ORB-SLAM2 in the ROS platform, to do localization and mapping using the Parrot Bebop2 drone. Applications are mainly indoor navigation and mapping.