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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.
Pereira, Guilherme A. S.; Kumar, R. Vijay; and Campos, Mario F. M., "Localization and Tracking in Robot Networks" (2003). Departmental Papers (MEAM). 39.
Date Posted: 13 August 2005