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:
Oct. 29, 2024

Filed:

Nov. 08, 2021
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Buyu Liu, Cupertino, CA (US);

Bingbing Zhuang, San Jose, CA (US);

Manmohan Chandraker, Santa Clara, CA (US);

Assignee:

NEC Corporation, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/10 (2017.01); B60W 10/18 (2012.01); B60W 10/20 (2006.01); B60W 30/02 (2012.01); B60W 30/09 (2012.01); G06F 18/214 (2023.01); G06V 20/56 (2022.01); G06V 30/262 (2022.01);
U.S. Cl.
CPC ...
G06V 20/588 (2022.01); B60W 10/18 (2013.01); B60W 10/20 (2013.01); B60W 30/02 (2013.01); B60W 30/09 (2013.01); G06F 18/2155 (2023.01); G06T 7/10 (2017.01); G06V 30/274 (2022.01); B60W 2420/403 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30256 (2013.01);
Abstract

A computer-implemented method for road layout prediction is provided. The method includes segmenting, by a first processor-based element, an RGB image to output pixel-level semantic segmentation results for the RGB image in a perspective view for both visible and occluded pixels in the perspective view based on contextual clues. The method further includes learning, by a second processor-based element, a mapping from the pixel-level semantic segmentation results for the RGB image in the perspective view to a top view of the RGB image using a road plane assumption. The method also includes generating, by a third processor-based element, an occlusion-aware parametric road layout prediction for road layout related attributes in the top view.


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