Method for generating input data for a machine learning model
AssigneeRobert Bosch GmbH
InventorsThomas Nuernberg, Florian Faion, Thomas Michalke
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AssigneeRobert Bosch GmbH
InventorsThomas Nuernberg, Florian Faion, Thomas Michalke
Estimating the term…
A method of generating input data for a machine learning model includes determining, for a sensor, a point cloud with points detected by the sensor from surfaces in the environment of the sensor, generating a preliminary target sensor point cloud for a target sensor by transforming, for the sensor, points of the determined point cloud into points from the perspective of the target sensor according to the relative position of the target sensor to the sensor, generating a target sensor point cloud for the target sensor by using the preliminary target sensor point cloud, wherein points which, due to one or more surfaces for which points exist in the preliminary target sensor point cloud, are not detectable by the target sensor are eliminated in the target sensor point cloud, and using the target sensor point cloud as input for the machine learning model.
A method for generating input data for a machine learning model, comprising:
Dependencies are inferred from the claim text.