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In a context of increased maintenance operations and workers generational renewal, a nuclear owner and operator like Electricité deFrance (EDF) is interested in the scaling up of tools and methods of “as-built virtual reality” for larger buildings and wideraudiences. However, acquisition and sharing of as-built data on a large scale (large and complex multi-floored buildings) challengecurrent scientific and technical capacities.  In this paper, we first present a state of the art of scanning tools and methods for industrial plants with very complex architecture.Then, we introduce the inner characteristics of the multi-sensor scanning and visualization of the interior of the most complexbuilding of a power plant: a nuclear reactor building. We introduce several developments that made possible a first complete surveyof such a large building, from acquisition, processing and fusion of multiple data sources (3D laser scans, total-station survey, RGBpanoramic, 2D floor plans, 3D CAD as-built models). In addition, we present the concepts of a smart application developed for thepainless exploration of the whole dataset. The goal of this application is to help professionals, unfamiliar with the manipulation ofsuch datasets, to take into account spatial constraints induced by the building complexity while preparing maintenance operations.Finally, we discuss the main feedbacks of this large experiment, the remaining issues for the generalization of such large scalesurveys and the future technical and scientific challenges in the field of industrial “virtual reality”

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

ADVANCES IN MULTI-SENSOR SCANNING AND VISUALIZATION OF COMPLEX PLANTS: THE UTMOST CASE OF A REACTOR BUILDING