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:
Mar. 28, 2023

Filed:

Mar. 16, 2021
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Stephan Reuter, Elchingen, DE;

Thomas Benjamin Gussner, Ludwigsburg, DE;

Theresa Veronika Kienle, Stuttgart, DE;

Oliver F. Schwindt, Sunnyvale, CA (US);

Andreas Heyl, Sunnyvale, CA (US);

Joachim Carsten Mueller, Boeblingen, DE;

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60Q 1/00 (2006.01); B60W 30/095 (2012.01); G08G 1/16 (2006.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
B60W 30/0956 (2013.01); G06V 20/58 (2022.01); G08G 1/16 (2013.01); B60W 2420/52 (2013.01); B60W 2554/80 (2020.02);
Abstract

Redundant environment perception tracking for automated driving systems. One example embodiment provides a surveillance system, the system including a plurality of sensors, a memory, and an electronic processor. The electronic processor is configured to receive, from the plurality of sensors, environmental information of a common field of view, generate, based on the environmental information, a plurality of hypotheses regarding an object within the common field of view, the plurality of hypotheses including at least one set of hypotheses excluding the environmental information from at least one sensor of a first sensor type, determine, based on a subset of the plurality of hypotheses, an object state of the object, wherein the subset includes the at least one set of hypotheses excluding the environmental information from the at least one sensor of the first sensor type, and track the object based on the object state that is determined.


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