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Article: Research from University of Technology provides new data about sensor research.
- Article from:
- Robotics & Machine Learning
- Article date:
- September 28, 2009
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According to a study from Sydney, Australia, "This paper presents a system for surface classification using a laser range finder. It is shown that the return intensities and range errors provide sufficient information to distinguish a wide range of surfaces commonly found in a number of environments."
"A supervised learning scheme (using curves representing the return intensity and range error as a function of angle of incidence) is used to classify the surface type of planar patches. Extensive experimental evidence is presented to demonstrate the potential of the proposed technique. The surface type classification, which uses a typical laser range finder, is ...