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- W132133602 abstract "Terrain classification is a fundamental task in outdoor robot navigation to detect and avoid impassable terrain. Camera-based approaches are well-studied and provide good results. A drawback of these approaches, however, is that the quality of the classification varies with the prevailing lighting conditions. 3D laser scanners, on the other hand, are largely illumination-invariant. In this work we present easy to compute features for 3D point clouds using range and intensity values. We compare the classification results obtained using only the laser-based features with the results of camera-based classification and study the influence of different lighting conditions." @default.
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- W132133602 date "2012-01-01" @default.
- W132133602 modified "2023-10-05" @default.
- W132133602 title "3D LIDAR- and Camera-Based Terrain Classification Under Different Lighting Conditions" @default.
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- W132133602 doi "https://doi.org/10.1007/978-3-642-32217-4_3" @default.
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