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公开(公告)号：US20240265631A1
公开(公告)日：2024-08-08
申请号：US18432809
申请日：2024-02-05
CPC分类号： G06T17/05 , G06T7/11 , G06V20/56 , G06T2207/20081 , G06T2207/20112
摘要： Disclosed is a computer-implemented method for creating a data sample for training semantic segmentation models usable in a vehicle assistance system. The method includes obtaining a first point cloud representing a surrounding of a vehicle at a first point in time and a second point cloud representing the surrounding of the vehicle at a second point in time. The method includes joining the first and second point cloud to obtain a global point cloud representing the surrounding of the vehicle over a duration of the first point in time and the second point in time. The method includes creating a representation of the surrounding based on the global point cloud. The method includes extracting from the representation a semantic map and one or more elevation maps. The method includes providing the semantic map and the one or more elevation maps as the data sample.
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