MULTI-SENSORIAL HYPOTHESIS BASED OBJECT DETECTOR AND OBJECT PURSUER
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Abstract
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.
35 Citations
37 Claims
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1-18. -18. (canceled)
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19. A method for multisensor object detection/classification,
in which sensor information from at least two different sensor signal streams with different sensor signal characteristics is used for joint evaluation, in which the at least two sensor signal streams are directly combined or fused with one another for evaluation, in which, in this case, object-hypotheses are generated in each of the at least two sensor signal streams, in which features for at least one classifier are generated on the basis of these object hypotheses, and in which the object hypotheses are assessed and are associated with one or more classes by means of the at least one classifier, with at least two classes being defined and objects being associated with one of the two classes.
Specification