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This paper addresses the problem of extracting the road region in different driving environments with dynamic lighting changes, for driver-assistance applications. In this paper, we propose a stereo visual sensor system and a vision-based road extraction method in a new color space. The color space is designed such that it is representative of intrinsic reflectance of the road surface, and independent...
This paper addresses the problem of extracting the road region in different driving environments with dynamic lighting changes. Previous approaches using Gaussian mixture models (GMM) have fixed number of models constructed from sample color data and could not keep models associated with shadows. As a result, although they work in some specific environments, they fail in other environments or in scenes...
Traditional building height estimation from a stereo pair of satellite images relies heavily on the selection of building primitives by the human operator. It is labor-intensive and highly inefficient. In this work, we propose a system to automate the estimation of 3-D building height from an IKONOS stereo pair. Minimum user intervention is required to outline the building top in the left image. Stereo...
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