Our paper entitled “Live multicast video streaming from drones: an experimental study” is accepted for publication in Autonomous Robots.
In this paper, we present and evaluate a multicast framework for point-to-multipoint and multipoint-to-point-to-multipoint video streaming. We evaluate the proposed application-layer rate-adaptive multicast video streaming over an aerial ad-hoc network that uses IEEE 802.11 in terms of goodput, delay, and packet loss.
We have demonstrated a multi-UAV coverage scenario with three quadrotors working together to make an overview image of a large area. The vehicles were equipped with cameras and they followed pre-computed flight paths, taking high-quality pictures at certain points. The collected images were immediately transmitted to a ground station, where the mission progress could be readily overseen and changed if necessary.
Check out our multi-UAV system in action! The video was nominated for Best Student Video in AAAI (http://www.aaaivideos.org/2013/) and was awarded second place.