| 摘要 |
The invention relates to a method for multi-sensorial object detection, wherein sensor information is evaluated together from several different sensor signal flows having different sensor signal properties. For said evaluation, the at least two sensor signal flows are not adapted to each other and/or projected onto each other, but object hypotheses are generated in each of the at least two sensor signal flows and characteristics for at least one classifier are generated based of said object hypotheses. Said object hypotheses are subsequently evaluated by means of a classifier and are associated with one or more categories. At least two categories are identified and the object is associated with one of the two categories.
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