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.
Cite
CITATION STYLE
Marino, F., Stella, E., Veneziani, N., & Distante, A. (1997). Real time hardware architecture for visual robot navigation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1311, pp. 93–100). Springer Verlag. https://doi.org/10.1007/3-540-63508-4_110
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
