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. 24, 2026

Filed:

Nov. 13, 2020
Applicant:

Vayavision Sensing Ltd., Or Yehuda, IL;

Inventors:

Youval Nehmadi, Nili, IL;

Pierre Olivier, Lévis, CA;

Ido Goren, Herzelia, IL;

Yoni Moskovich, Raanana, IL;

Nir Darshan, Alfei Menashe, IL;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01S 7/40 (2006.01); B60W 40/02 (2006.01); G01S 13/89 (2006.01); G01S 13/931 (2020.01); G01S 17/86 (2020.01); G01S 17/87 (2020.01); G01S 17/89 (2020.01); G01S 17/894 (2020.01); G01S 17/931 (2020.01); G06F 18/25 (2023.01); G06V 10/94 (2022.01); G06V 20/58 (2022.01); B60W 60/00 (2020.01);
U.S. Cl.
CPC ...
G01S 17/89 (2013.01); G06F 18/25 (2023.01); G06V 20/58 (2022.01); B60W 60/001 (2020.02); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01);
Abstract

A process for sensing a scene. The process includes receiving sensor data from a plurality of sensor modalities, where each sensor modality observes at least a portion of the scene containing at least one of the objects of interest and generates sensor data conveying information on the scene and of the object of interest. The process further includes processing the sensor data from each sensor modality to detect objects of interest and produce a plurality of primary detection results, each detection result being associated with a respective sensor modality. The process also includes fusing sensor data from a first sensor modality with sensor data from a second sensor modality to generate a fused 3D map of the scene, processing the fused 3D map to detect objects of interest and produce secondary detection results and performing object level fusion on the primary and the secondary detection results.


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