Proceedings PaperObject recognition for a multisensor measuring system
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This paper presents a concept for the recognition and localization of objects which relies on multi-sensor fusion and active exploration. Today, researchers in photogrammetry generally agree that the use of complementary sensors, e.g. ranging and imaging cameras, is important for simplifying interpretation and related tasks. But no notice has been taken so far of the role of active exploration. Our work is part of a research program where five institutes of Stuttgart University co-operate to develop an experimental measuring system for flexible inspection and gauging. The system will be capable of determining automatically the shape, form and class attributes of an industrial object. It then solves in a self-acting manner the measuring task associated with that object. The paper, which focuses on the object recognition concept, briefly describes the experimental measuring system and the sensors employed. A number of subsequent processing steps of the whole procedure are illustrated through use of initial experimental results.