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A new sensor self-calibration framework from velocity measurements

Olivier Kermorgant 1 David Folio 2 François Chaumette 1
1 Lagadic - Visual servoing in robotics, computer vision, and augmented reality
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : In this paper we propose a new on-line sensor self-calibration framework. The approach is to consider the sensor/robot interaction that links the sensor signal variations to the robot velocity. By on-line calibration, we mean only the actual measurements are used to perform calibration under the condition that the interaction matrix is analytically known. This allows us to propose a very simple and versatile formulation of sensor parameter calibration. Various sensors can be considered, and calibration from different sensory data may be considered within the same process. Intrinsic and extrinsic parameters estimation are formulated as a non-linear minimization problem the jacobian of which can be expressed analytically from the sensor model. Simulations and experiments are presented for a camera observing four points, showing good results in the case of separated intrinsic and extrinsic calibration, and illustrating the possible limitations in the case of simultaneous estimation.
keyword : Visual Servoing
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Olivier Kermorgant, David Folio, François Chaumette. A new sensor self-calibration framework from velocity measurements. IEEE Int. Conf. on Robotics and Automation, ICRA'10, 2010, Anchorage, Alaska, United States. pp.1524-1529. ⟨inria-00544787⟩

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