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• W2024789996 abstract "It becomes a well-known technology that a low-level map of complex environment containing 3D laser points can be generated using a robot with laser scanners. Given a cloud of 3D laser points of an urban scene, this paper proposes a method for locating the objects of interest, e.g. traffic signs or road lamps, by computing object-based saliency. Our major contributions are: 1) a method for extracting simple geometric features from laser data is developed, where both range images and 3D laser points are analyzed; 2) an object is modeled as a graph used to describe the composition of geometric features; 3) a graph matching based method is developed to locate the objects of interest on laser data. Experimental results on real laser data depicting urban scenes are presented; efficiency as well as limitations of the method are discussed." @default.
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• W2024789996 date "2012-05-01" @default.
• W2024789996 modified "2023-10-08" @default.
• W2024789996 title "Computing object-based saliency in urban scenes using laser sensing" @default.
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• W2024789996 doi "https://doi.org/10.1109/icra.2012.6224940" @default.
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