Controlling the visual attention of intelligent vehicles

Authors:
András Barta;Balázs Takács;István Vajk
Affiliations:
Budapest University of Technology and Economics, Budapest, Goldman, Hungary;Budapest University of Technology and Economics, Budapest, Goldman, Hungary;Budapest University of Technology and Economics, Budapest, Goldman, Hungary
Venue:
RA '07 Proceedings of the 13th IASTED International Conference on Robotics and Applications
Year:
2007

Citing 3
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Abstract

The paper presents a visual attention control mechanism for intelligent vehicles. The main problem of visual navigation is how to extract meaningful information from the huge amount of available data. Visual attention control reduces the processing requirement by adaptively searching the input images. The paper presents a network architecture that is capable of providing bottom up, top-down and lateral information flow. The framework to accomplish the three-directional information flow is the Layered Dual Pyramid (LDP) architecture. A traffic sign recognition example is used to demonstrate the application of the architecture