We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
This paper presents an inertial navigation filter designed for an automotive vehicle not equipped with any GPS receiver. The task of this filter is to provide relative position inf...
Pierre-Jean Bristeau, Nicolas Petit, Laurent Praly
A basic problem with Augmented Reality systems using Head-Mounted Displays (HMDs) is the perceived latency or lag. This delay corresponds to the elapsed time between the moment wh...
Fakhreddine Ababsa, Jean-Yves Didier, Malik Mallem...
A novel method for estimating vehicle roll, pitch and yaw using machine vision and inertial sensors is presented that is based on matching images captured from an on-vehicle camer...
We present a novel technique for the automatic adaptation of a deformable model's elastic parameters within a Kalman filter framework for shape estimation applications. The no...