Kaouthar Benameur

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Tracking a ground target, based on GMTI radar measurements, is a challenging problem. This is due particularly to the environment with a high density road traffic, terrain masks... etc, and to the high manoeuverability of ground targets. In this paper, the tracking of a manoeuvring ground target on a road in a cluttered environment is studied using map(More)
A key requisite to GMTI tracking is the use of road network to enhance the track quality and the track continuity. In this paper, we present a comparative study on the incorporation of such information in the GMTI tracking. We consider for this the particular scenario of tracking a target at road junctions or intersections. The goal of this study is to(More)
Most robotic grasping tasks assume a stationary or xed object. In this paper, we explore the requirements for tracking and grasping a moving object. The focus of our work is to achieve a high level of interaction between a real-time vision system capable of tracking moving objects in 3-D and a robot arm equipped with a dexterous hand that can be used pick(More)
In this paper, we present a method based on belief functions to evaluate the quality of the optimal assignment solution of a classical association problem encountered in multiple target tracking applications. The purpose of this work is not to provide a new algorithm for solving the assignment problem, but a solution to estimate the quality of the(More)
In this paper, we present a method to estimate the quality (trustfulness) of the solutions of the classical optimal data association (DA) problem associated with a given source of information (also called a criterion). We also present a method to solve the multi-criteria DA problem and to estimate the quality of its solution. Our approach is new and mixes(More)
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