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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 11900257 B1

PDFFull Text
Date of Patent:
Feb. 13, 2024

Filed:

Mar. 09, 2020

Method for representing an environment of a mobile platform

Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Lukas Hoyer, Biederitz, DE;

Volker Fischer, Renningen, DE;

Assignee:

ROBERT BOSCH GMBH, Stuttgart, DE;

Attorneys:

NORTON ROSE FULBRIGHT US LLP

Gerard A. Messina

Primary Examiner:

Michael V Kerrigan

Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/082 (2023.01); G01S 13/89 (2006.01); G01S 13/931 (2020.01); G05D 1/00 (2006.01); G06N 3/04 (2023.01); G06V 20/56 (2022.01); G06F 18/25 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/20 (2022.01);
U.S. Cl.
CPC ...
G06N 3/082 (2013.01); G01S 13/89 (2013.01); G01S 13/931 (2013.01); G05D 1/0246 (2013.01); G05D 1/0255 (2013.01); G05D 1/0257 (2013.01); G06F 18/253 (2023.01); G06N 3/04 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/20 (2022.01); G06V 20/56 (2022.01); G01S 2013/9323 (2020.01); G01S 2013/9324 (2020.01);
Abstract

A method and system for representing an environment of a first mobile platform. The method includes: capturing features of the environment by discrete time sequences of sensor-data from at least two sensors and respective time markers; determining distances of the first mobile platform to the features of the environment; estimating semantic information of the features of the environment; transforming the semantic information of the features of the environment into a moving spatial reference system, wherein a position of the first mobile platform is at a constant site, using the respective determined distances and respective time markers; creating an input tensor using sequences of the transformed semantic information of the features of the environment, corresponding to the sequences of the sensor data of the at least two sensors; generating an output tensor that represents the environment using a deep neural network at a requested point in time and the input tensor.

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