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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.

Patent No.:

US 12135386 B1

PDFFull Text
Date of Patent:
Nov. 05, 2024

Filed:

Nov. 28, 2023

Lidar systems and methods for detection and classification of objects

Applicant:

Innoviz Technologies Ltd., Rosh Ha'Ayin, IL;

Inventors:

Amit Steinberg, Adanim, IL;

David Elooz, Kfar Ha'Ro'E, IL;

Omer David Keilaf, Kfar Saba, IL;

Oren Buskila, Hod Hasharon, IL;

Oren Rosenzweig, Tel Aviv, IL;

Amir Day, Beer Yakov, IL;

Guy Zohar, Netanya, IL;

Julian Vlaiko, Kfar Saba, IL;

Nir Osiroff, Givatayim, IL;

Ovadya Menadeva, Modiin, IL;

Assignee:

Innoviz Technologies Ltd., Rosh Ha'Ayin, IL;

Attorney:

Finnegan, Henderson, Farabow, Garrett & Dunner, LLP

Primary Examiner:

On S Mung

Int. Cl.
CPC ...
G06T 7/70 (2017.01); A01C 5/04 (2006.01); G01S 7/02 (2006.01); G01S 7/48 (2006.01); G01S 7/481 (2006.01); G01S 17/04 (2020.01); G01S 17/58 (2006.01); G01S 17/89 (2020.01); G01S 17/894 (2020.01); G01S 17/931 (2020.01); G06F 18/24 (2023.01); G06F 18/25 (2023.01); G06V 10/141 (2022.01); G06V 10/60 (2022.01); G06V 10/75 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01); G06V 20/62 (2022.01);
U.S. Cl.
CPC ...
G01S 7/026 (2013.01); A01C 5/04 (2013.01); G01S 7/4808 (2013.01); G01S 7/4817 (2013.01); G01S 17/04 (2020.01); G01S 17/58 (2013.01); G01S 17/89 (2013.01); G01S 17/894 (2020.01); G01S 17/931 (2020.01); G06F 18/24 (2023.01); G06F 18/256 (2023.01); G06T 7/70 (2017.01); G06V 10/141 (2022.01); G06V 10/60 (2022.01); G06V 10/751 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01); G06V 20/588 (2022.01); B60W 2420/403 (2013.01); G06T 2207/30256 (2013.01); G06V 20/625 (2022.01);
Abstract

A system includes at least one processor configured to detect, based on point cloud information, portions of a particular object, and determine, based on the detected portions, at least a first portion having a first reflectivity corresponding to a license plate, and at least two additional spaced-apart portions corresponding to locations on the particular object other than a location of the first portion. The at least two additional portions have reflectivity substantially lower than the first reflectivity. The at least one processor is further configured to classify the particular object as a vehicle, based on a spatial relationship and a reflectivity relationship between the first portion and the at least two additional portions.

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