Abstract
This paper reports on the development of a multi-purpose active visual sensor system for real-world application. The Cable-Drive Active-Vision Robot (CeDAR) has been designed for use on a diverse range of platforms, to perform a diverse range of tasks. The novel, biologically inspired design has evolved from a systems based approach. The mechanism is compact and light-weight, and is capable of motions that exceed human visual performance and earlier mechanical designs. The control system complements the mechanical design to implement the basic visual behaviours of fixation, smooth pursuit and saccade, with stability during high speed motions, high precision and repeatability. Real-time vision processing algorithms have been developed that process stereo colour images at 30Hz, resulting in a suite of basic visual competencies. We have developed a scheme to fuse the results of the visual algorithms into robust task-oriented behaviours by adopting a statistical frame-work. CeDAR has been successfully used for experiments in autonomous vehicle guidance, object tracking, and visual sensing for mobile robot experiments.
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Dankers, A., Zelinsky, A. (2003). A Real-World Vision System: Mechanism, Control, and Vision Processing. In: Crowley, J.L., Piater, J.H., Vincze, M., Paletta, L. (eds) Computer Vision Systems. ICVS 2003. Lecture Notes in Computer Science, vol 2626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36592-3_22
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DOI: https://doi.org/10.1007/3-540-36592-3_22
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