Abstract
A specialized hardware architecture to permit a real time visual navigation is proposed. The navigation is performed by a two-stage approach to extract visual features and to match them over an image sequence acquired during the mobile robot motion in order to estimate motion parameters. The paper describes a hardware implementation of the first stage (the burdensome stage) of the method for egomotion parameter computation. The hardware performance permits a processing rate of 40 Mhz.
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© 1997 Springer-Verlag Berlin Heidelberg
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Marino, F., Stella, E., Veneziani, N., Distante, A. (1997). Real time hardware architecture for visual robot navigation. In: Del Bimbo, A. (eds) Image Analysis and Processing. ICIAP 1997. Lecture Notes in Computer Science, vol 1311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63508-4_110
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DOI: https://doi.org/10.1007/3-540-63508-4_110
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