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.

Date of Patent:
Jan. 16, 2024

Filed:

Dec. 09, 2020
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Philip Ventimiglia, Northville, MI (US);

Krisztian Bakos, Redondo Beach, CA (US);

Karl Holodnick, Northville, MI (US);

Russell Watts, Ann Arbor, MI (US);

George Lewis, Brighton, MI (US);

Stefan Weissert, Royal Oak, MI (US);

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G07C 5/08 (2006.01); G07C 5/02 (2006.01); G07C 5/00 (2006.01); H04L 12/18 (2006.01); H04L 67/1097 (2022.01); G06V 20/59 (2022.01); G01S 19/13 (2010.01); G01N 33/00 (2006.01); G01P 15/14 (2013.01); G01V 8/10 (2006.01); G01C 21/34 (2006.01); B60R 11/00 (2006.01); B60R 11/04 (2006.01);
U.S. Cl.
CPC ...
G07C 5/085 (2013.01); G01C 21/3438 (2013.01); G01C 21/3484 (2013.01); G01N 33/0031 (2013.01); G01N 33/0047 (2013.01); G01P 15/14 (2013.01); G01S 19/13 (2013.01); G01V 8/10 (2013.01); G06V 20/59 (2022.01); G07C 5/008 (2013.01); G07C 5/02 (2013.01); H04L 12/1895 (2013.01); H04L 67/1097 (2013.01); B60R 11/04 (2013.01); B60R 2011/0003 (2013.01); B60R 2011/0026 (2013.01);
Abstract

A cloud storage backend for managing data of in-vehicle sensing modules is disclosed, which is advantageous for use in the context of a shared vehicle service, such as a car rental service, an autonomous taxi service, or a ride sharing service. The in-vehicle sensing modules are configured to monitor a status of the vehicle and utilize appropriate algorithms, models, or thresholds to interpret sensor data and enrich the data with metadata and event detection. The cloud storage backend receives relevant sensor data, event data, or other metadata from the in-vehicle sensing modules and stores the data in a database which is made accessible by authorized third-parties.


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