Reliable localisation is an essential component of any autonomous vehicle system. The basic navigation loop is based on dead reckoning sensors that predict high frequency vehicle manoeuvres and low frequency absolute sensors that bound positioning errors. The problem of localisation given a map of the environment or estimating the map knowing the vehicle position has been addressed and solved u...

This paper presents a face recognition based on the fusion of the intensity image and stereo depth map at the score level. The 3D surfaces are reconstructed from the stereo face images using stereo vision technique. The curvelet transform is a multiresolution method, which is used to extract features from depth and intensity images independently. Then, principal component analysis (PCA) is used...

The paper contributes to No-Reference video quality assessment of broadcasted HD video over IP networks and DVB. In this work we have enhanced our bottom-up spatio-temporal saliency map model by considering semantics of the visual scene. Thus we propose a new saliency map model based on face detection that we called semantic saliency map. A new fusion method has been proposed to merge the botto...

Mobile robot’s full autonomy widens their range of applicability. In this context, it is essential that a mobile robot is able to construct its own map based on sensors data readings, which are the only means the robot has to interact with its surroundings. Thus, map building, path planning, obstacle avoidance, and control are crucial in achieving full autonomy. Map building shall be carried ou...