Planning Most-Likely Paths From Overhead Imagery
This paper is about planning paths from overhead imagery, the novelty of which is taking explicit account of uncertainty in terrain classification and spatial variation in terrain cost. The image is first classified using a multi-class Gaussian Process Classifier which provides probabilities of clas...
Main Authors: | , , |
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Format: | Conference item |
Published: |
2010
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