公开(公告)号：US20190318177A1

公开(公告)日：2019-10-17

申请号：US16456942

申请日：2019-06-28

Applicant: Innoviz Technologies Ltd.

Inventor： Amit STEINBERG ,  David ELOOZ ,  Omer David KEILAF ,  Oren BUSKILA ,  Oren ROSENZWEIG

IPC: G06K9/00 ,  G06K9/62 ,  G01S17/89 ,  G01S7/481

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.

公开(公告)号：US20240103125A1

公开(公告)日：2024-03-28

申请号：US18520661

申请日：2023-11-28

Applicant: Innoviz Technologies Ltd.

Inventor： Amit STEINBERG ,  David ELOOZ ,  Omer David KEILAF ,  Oren BUSKILA ,  Oren ROSENZWEIG ,  Amir DAY ,  Guy ZOHAR ,  Julian VLAIKO ,  Nir OSIROFF ,  Ovadya MENADEVA

IPC: G01S7/02 ,  A01C5/04 ,  G01S7/48 ,  G01S7/481 ,  G01S17/04 ,  G01S17/58 ,  G01S17/89 ,  G01S17/894 ,  G01S17/931 ,  G06F18/24 ,  G06F18/25 ,  G06T7/70 ,  G06V10/141 ,  G06V10/60 ,  G06V10/75 ,  G06V10/82 ,  G06V20/56 ,  G06V20/58

CPC classification number: G01S7/026 ,  A01C5/04 ,  G01S7/4808 ,  G01S7/4817 ,  G01S17/04 ,  G01S17/58 ,  G01S17/89 ,  G01S17/894 ,  G01S17/931 ,  G06F18/24 ,  G06F18/256 ,  G06T7/70 ,  G06V10/141 ,  G06V10/60 ,  G06V10/751 ,  G06V10/82 ,  G06V20/56 ,  G06V20/58 ,  G06V20/588 ,  B60W2420/42 ,  G06T2207/30256 ,  G06V20/625

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.