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Summary: Landmark-Based Pedestrian Navigation with
Enhanced Spatial Reasoning
Harlan Hile
Radek Grzeszczuk
Alan Liu
Ramakrishna Vedantham
Jana Kosecka§
Gaetano Borriello
University of Washington
Nokia Research Center §
George Mason University
Abstract. Computer vision techniques can enhance landmark-based
navigation by better utilizing online photo collections. We use spatial
reasoning to compute camera poses, which are then registered to the
world using GPS information extracted from the image tags. Computed
camera pose is used to augment the images with navigational arrows
that fit the environment. We develop a system to use high-level reason-
ing to influence the selection of landmarks along a navigation path, and
lower-level reasoning to select appropriate images of those landmarks.
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