Localization and Tracking in Robot Networks
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Departmental Papers (MEAM)
General Robotics, Automation, Sensing and Perception Laboratory
General Robotics, Automation, Sensing and Perception Laboratory
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We are interested in the real time pose estimation of a group of networked mobile robots based on exteroceptive information from their vision systems. Additionally, we are also interested in simultaneously tracking a rigid unknown object. We present a localization and object tracking approach based on statistical operators and simple graph searching algorithms. The approach was implemented in our team of five car like robots equipped with omni-directional video cameras and IEEE 802.11b wireless networking.
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2003-06-30
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2023-05-16T22:31:49.000
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From the Proceedings of the 11th International Conference on Advanced Robotics (ICAR 2003), held June 30-July 3, 2003, Coimbra, Portugal.
Copyright 2003 IEEE. Reprinted from Proceedings of the 11th International Conference on Advanced Robotics (ICAR'03). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Copyright 2003 IEEE. Reprinted from Proceedings of the 11th International Conference on Advanced Robotics (ICAR'03). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.