Dronehub K

Dronehub K is our new portal for UAV/drone related activities at University of Klagenfurt and Lakeside Labs GmbH.

You can find information on our current and previous projects and our publications, in addition to posts from guest researchers.

Paper accepted in ICRA 2017

Our paper entitled “Multi-Objective UAV Path Planning for Search and Rescue” is accepted for publication in IEEE ICRA 2017.

We propose a multi-objective optimization algorithm to allocate tasks and plan paths for a team of UAVs. Our genetic algorithm approach aims to minimize the mission completion time, which includes the time to find the target (area coverage) and the time to setup a communication path (network connectivity). We evaluate strategies using a data mule, a relay chain, and a novel hybrid approach to communicate with the ground personnel. The algorithm can be tuned to prioritize coverage or connectivity, depending on
the mission demands.

Survey accepted in IEEE Communications Surveys and Tutorials

Our survey entitled “Survey on Unmanned Aerial Vehicle Networks for Civil Applications: A Communications Viewpoint” is accepted in IEEE Communications Surveys and Tutorials.

This comprehensive survey reports the characteristics and requirements of UAV networks for envisioned civil applications over the period 2000–2015 from a communications and networking viewpoint. We survey and quantify quality-of service requirements, network-relevant mission parameters, data requirements, and the minimum data to be transmitted over the network. Furthermore, we elaborate on general networking related requirements such as connectivity, adaptability, safety, privacy, security, and scalability. We also report experimental results from many projects and investigate the suitability of existing communication technologies for supporting reliable aerial networking.


Successful experiments with multiple quadrotors

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.