IDiyas

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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 12117553 B1

PDFFull Text
Date of Patent:
Oct. 15, 2024

Filed:

Mar. 28, 2023

Lidar systems and methods for detection and classification of objects

Applicant:

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

Inventors:

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 ...
G01S 7/02 (2006.01); A01C 5/04 (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); G06T 7/70 (2017.01); 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 vehicle-assistance system for classifying objects in a vehicle's surroundings. The system includes: at least one memory configured to store classification information for classifying a plurality of objects; and at least one processor configured to receive a plurality of detection results associated with light detection and ranging system (LIDAR) detection results, each detection result including location information, and further information indicative of at least two of the following detection characteristics: object surface reflectivity; temporal spreading of signal reflected from the object; object surface physical composition; ambient illumination measured at a LIDAR dead time; difference in detection information from a previous frame; and confidence level associated with another detection characteristic. The at least one processor is also configured to: access the classification information; and based on the classification information and the detection results, classify an object in the vehicle's surroundings.

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