Laurent Delahoche

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SUMMARY In this paper, we deal with the perceptual organization which is a crucial problem in computer vision. Perceptual organization consists in structuring the image into perceptually significant groups. These structures will be used in higher level processes such as image understanding or object recognition. The grouping is based on application of the(More)
This paper deals with a context awareness system based on a service-oriented architecture dedicated to the Smart Home. In our approach, a Smart Home must be able to provide services adapted to the needs of its inhabitants. To achieve this, we propose to build a Smart environment that takes into account the ambient context of its inhabitants, providing(More)
This paper deals with an absolute mobile robot self-localization algorithm in an indoor environment. Until now, localization methods based on conical omnidirectional vision sensors uniquely used radial segments from vertical environment landmarks projection. The main motivation of this work is to demonstrate that the SYCLOP sensor can be used as a vision(More)
This paper presents a system of absolute localization based on the stereoscopic omnidirectional vision. To do it we use an original perception system which allows our omnidirectional vision sensor SYCLOP to move along a rail. The first part of our study will deal with the problem of building the sensorial model with the help of the two stereoscopic(More)
In this article, a dynamic localization method based on multi-target tracking is presented. The originality of this method is its capability to manage and propagate uncertainties during the localization process. This multi-level uncertainty propagation stage is based on the use of the Dempster–Shafer theory. The perception system we use is composed of an(More)