公开(公告)号：US11615558B2

公开(公告)日：2023-03-28

申请号：US17177231

申请日：2021-02-17

Applicant: dSPACE digital signal processing and control engineering GmbH

Inventor： Steffen Henning ,  Thorsten Pueschl ,  Matthias Thurau

IPC: G06T11/00 ,  B60W60/00 ,  B60W50/02 ,  G06V10/75 ,  G06V20/40 ,  G06V20/56 ,  G06F18/22 ,  G06F18/2431

Abstract: A computer-implemented method for creating a virtual vehicle environment includes: receiving data of a real vehicle environment; generating a first feature vector representing a respective real object by applying a second machine learning algorithm to the respective real object and storing the first feature vector; providing a plurality of stored second feature vectors representing synthetically generated objects; identifying a second feature vector having a greatest degree of similarity to the first feature vector; selecting the identified second feature vector and retrieving a stored synthetic object that is associated with the second feature vector and that corresponds to the real object or procedurally generating the synthetic object that corresponds to the real object, depending on the degree of similarity of the identified second feature vector to the first feature vector; and integrating the synthetic object into a predetermined virtual vehicle environment.

公开(公告)号：US20210256738A1

公开(公告)日：2021-08-19

申请号：US17177231

申请日：2021-02-17

Applicant: dSPACE digital signal processing and control engineering GmbH

Inventor： Steffen Henning ,  Thorsten Pueschl ,  Matthias Thurau

IPC: G06T11/00 ,  G06K9/62 ,  G06K9/00 ,  B60W60/00 ,  B60W50/02

Abstract: A computer-implemented method for creating a virtual vehicle environment includes: receiving data of a real vehicle environment; generating a first feature vector representing a respective real object by applying a second machine learning algorithm to the respective real object and storing the first feature vector; providing a plurality of stored second feature vectors representing synthetically generated objects; identifying a second feature vector having a greatest degree of similarity to the first feature vector; selecting the identified second feature vector and retrieving a stored synthetic object that is associated with the second feature vector and that corresponds to the real object or procedurally generating the synthetic object that corresponds to the real object, depending on the degree of similarity of the identified second feature vector to the first feature vector; and integrating the synthetic object into a predetermined virtual vehicle environment.