Multiple hypothesis classification with laser range finders

Abstract

An algorithm for tracking and classifying objects in urban areas using a multi-layer laser range finder is presented. Due to object disintegration caused by occlusions and fine segmentation of the data in order to separate close objects, classification is not always simple. Therefore, a multiple hypothesis approach is proposed, which keeps track of all… (More)

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