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IROS
2008
IEEE

Fast color/texture segmentation for outdoor robots

10 years 3 months ago
Fast color/texture segmentation for outdoor robots
— We present a fast integrated approach for online segmentation of images for outdoor robots. A compact color and texture descriptor has been developed to describe local color and texture variations in an image. This descriptor is then used in a two-stage fast clustering framework using K-means to perform online segmentation of natural images. We present results of applying our descriptor for segmenting a synthetic image and compare it against other state-of-the-art descriptors. We also apply our segmentation algorithm to the task of detecting natural paths in outdoor images. The whole system has been demonstrated to work online alongside localization, 3D obstacle detection, and planning.
Morten Rufus Blas, Motilal Agrawal, Aravind Sundar
Added 31 May 2010
Updated 31 May 2010
Type Conference
Year 2008
Where IROS
Authors Morten Rufus Blas, Motilal Agrawal, Aravind Sundaresan, Kurt Konolige
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