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- W2891649842 abstract "Semantic segmentation on radar point clouds is a new challenging task in radar data processing. We demonstrate how this task can be performed and provide results on a large data set of manually labeled radar reflections. In contrast to previous approaches where generated feature vectors from clustered reflections were used as an input for a classifier, now the whole radar point cloud is used as an input and class probabilities are obtained for every single reflection. We thereby eliminate the need for clustering algorithms and manually selected features." @default.
- W2891649842 created "2018-09-27" @default.
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- W2891649842 date "2018-07-01" @default.
- W2891649842 modified "2023-09-30" @default.
- W2891649842 title "Semantic Segmentation on Radar Point Clouds" @default.
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- W2891649842 doi "https://doi.org/10.23919/icif.2018.8455344" @default.
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