Title :
Self-positioning of a team of flying smart cameras
Author :
Poiesi, Fabio ; Cavallaro, Andrea
Author_Institution :
Centre for Intell. Sensing, Queen Mary, Univ. of London, London, UK
Abstract :
Quadcopters are highly maneuverable and can provide an effective means for an agile dynamic positioning of sensors such as cameras. In this paper we propose a method for the self-positioning of a team of camera-equipped quadcopters (flying cameras) around a moving target. The self-positioning task is driven by the maximization of the monitored surface of the moving target based on a dynamic flight model combined with a collision avoidance algorithm. Each flying camera only knows the relative distance of neighboring flying cameras and its desired position with respect to the target. Given a team of up to 12 flying cameras, we show they can achieve a stable time-varying formation around a moving target without collisions.
Keywords :
aerospace control; autonomous aerial vehicles; collision avoidance; image sensors; intelligent sensors; position control; time-varying systems; camera-equipped quadcopters; collision avoidance algorithm; dynamic flight model; flying smart cameras; team self-positioning; time-varying formation stability; Cameras; Robot vision systems; Standards; Target tracking; Trajectory;
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2015 IEEE Tenth International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4799-8054-3
DOI :
10.1109/ISSNIP.2015.7106943