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:
Feb. 21, 2023

Filed:

Dec. 27, 2019
Applicant:

Valeo Schalter Und Sensoren Gmbh, Bietigheim-Bissingen, DE;

Inventors:

Adithya Ranga, Sunnyvale, CA (US);

Jagdish Bhanushali, Sunnyvale, CA (US);

Assignee:

Valeo Schalter und Sensoren GmbH, Bietigheim-Bissingen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/58 (2022.01); G06T 7/11 (2017.01); G06T 7/70 (2017.01); B60W 30/095 (2012.01); B60W 40/04 (2006.01); G06K 9/62 (2022.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06V 40/10 (2022.01); G06V 40/20 (2022.01);
U.S. Cl.
CPC ...
G06V 20/58 (2022.01); B60W 30/0956 (2013.01); B60W 40/04 (2013.01); G06K 9/628 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 7/11 (2017.01); G06T 7/70 (2017.01); G06V 40/10 (2022.01); G06V 40/20 (2022.01); B60W 2420/42 (2013.01); B60W 2554/40 (2020.02); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30236 (2013.01); G06T 2207/30241 (2013.01); G06T 2207/30252 (2013.01);
Abstract

Techniques are described for estimating intentions of pedestrians and other road users in vicinity of a vehicle. In certain embodiments, the techniques comprise obtaining, by a computer system of a vehicle equipped with one or more sensors, a sequence of video frames corresponding to a scene external to the vehicle, detecting one or more vulnerable road users (VRUs) in the sequence of video frames, wherein the detecting comprises estimating pose of each of the detected one or more VRUs. The techniques further include generating a segmentation map of the scene using one or more of the video frames; estimating one or more intention probabilities using estimated pose of the one or more VRUs and the segmentation map, each intention probability corresponding to one of the detected one or more VRUs, and adjusting one or more automated driving actions based on the estimated one or more intention probabilities.


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