Investigation of an algorithm to maximize the information observed by multiple autonomous UAVs

In this paper we propose an algorithm to maximize the information about a monitored target object for controlling multiple autonomous Unmanned Aerial Vehicles (UAVs). Our scheme does not require manual operation of UAVs and they can determine their movement solely based on the algorithm. We use the number of feature points of the target object and multiple UAVs alternatingly move until they converge to the suitable monitoring point. This paper describes the design of our scheme and the result of preliminary evaluation.

[1]  Stephen Cameron,et al.  Luke: An autonomous robot photographer , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[2]  Adrien Bartoli,et al.  KAZE Features , 2012, ECCV.