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In this paper, a localization system for a mobile robot is proposed, using a top-down multi-sensorial approach and exploiting a map of the environment. Nowadays the wide development of maps make relevant localization approachesable to use such maps. A crucial point of all localization systems is the way of the data provided by different sensors are fused. The proposed approach is based on a Bayesian...
In this paper, a state exchange based multi-robot localization is proposed in particular experiments in real conditions. The goal of such an approach is to combine the data coming from several mobile communicating robots in order to i) update and maintain in each robot an optimal map of the whole fleet, and ii) improve all the poses estimation taking into account that vehicles can detect and localize...
This paper considers the problem of cooperative localization of an heterogeneous group of road vehicles. Each vehicle can be equipped with proprioceptive and exteroceptive sensors enabling it to localize itself in its environment and also to localize (but not to identify) the other members of the group. Localization information can be exchanged between the vehicles through a wireless communication...
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