Most pose (3D position and 3D orientation) tracking methods using vision require a priori knowledge about the environment and correspondences between 3D environment features and 2...
Abstract—This work considers the problem of reaching consensus in an unreliable linear consensus network. A solution to this problem is relevant for several tasks in multi-agent ...
Fabio Pasqualetti, Antonio Bicchi, Francesco Bullo
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Abstract. 3D models of coronary arteries is a valuable help for the planning and simulation of minimally-invasive cardiac surgery, and may be used in per-operative augmented realit...
In this paper, we propose an observable-area model of the scene for real-time cooperative object tracking by multiple cameras. The knowledge of partners’ abilities is necessary ...