A generative framework for fast urban labeling using spatial and temporal context
This paper introduces a multi-level classification framework for the semantic annotation of urban maps as provided by a mobile robot. Environmental cues are considered for classification at different scales. The first stage considers local scene properties using a probabilistic bag-of-words classifi...
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| 格式: | Conference item |
| 出版: |
2009
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