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:
Sep. 15, 2020

Filed:

Jun. 28, 2019
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;

Assignee:

Innoviz Technologies Ltd., Kfar Saba, IL;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01C 3/08 (2006.01); G06K 9/00 (2006.01); G01S 17/89 (2020.01); G01S 7/481 (2006.01); G06K 9/62 (2006.01); G01S 17/58 (2006.01); G06K 9/20 (2006.01); G06T 7/70 (2017.01); G01S 7/48 (2006.01); G01S 17/04 (2020.01); G01S 17/931 (2020.01);
U.S. Cl.
CPC ...
G06K 9/00805 (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 17/931 (2020.01); G06K 9/00791 (2013.01); G06K 9/00798 (2013.01); G06K 9/2027 (2013.01); G06K 9/6202 (2013.01); G06K 9/6267 (2013.01); G06K 9/6293 (2013.01); G06T 7/70 (2017.01); B60W 2420/42 (2013.01); G06T 2207/30256 (2013.01);
Abstract

A LIDAR system for detecting a vehicle may include a processor configured to: scan a field of view (FOV) by controlling movement of at least one deflector at which at least one light source is directed; receive from at least one sensor signals indicative of light reflected from a particular object in the FOV; detect, based on time of flight in the received signals, portions of the particular object in the FOV that are similarly spaced from the light source; 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; and based on a spatial relationship and a reflectivity relationship between the first portion and the at least two additional portions, classify the particular object as a vehicle.


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