公开(公告)号：US20230243919A1

公开(公告)日：2023-08-03

申请号：US18191035

申请日：2023-03-28

Applicant: Innoviz Technologies Ltd.

Inventor： Amir DAY ,  Guy ZOHAR ,  Julian VLAIKO ,  Nir OSIROFF ,  Ovadya MENADEVA

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

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

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.

公开(公告)号：US20200371238A9

公开(公告)日：2020-11-26

申请号：US16456426

申请日：2019-06-28

Applicant: Innoviz Technologies Ltd.

Inventor： Amir DAY ,  Guy ZOHAR ,  Julian VLAIKO ,  Nir OSIROFF ,  Ovadya MENADEVA

IPC: G01S17/58 ,  G01S17/02 ,  G01S17/93 ,  G06K9/62 ,  G06K9/20

Abstract: A vehicle-assistance system for classifying objects in a vehicle's surroundings is provided. The system may include at least one memory configured to store classification information for classifying a plurality of objects and at least one processor configured to receive, on a pixel-by-pixel basis, a plurality of measurements associated with LIDAR detection results. The measurements may include at least one of: a presence indication, a surface angle, object surface physical composition, and a reflectivity level. The at least one processor may also be configured to receive, on the pixel-by-pixel basis, at least one confidence level associated with each received measurement, and access the classification information. The at least one processor may further be configured to, based on the classification information and the received measurements with the at least one associated confidence level plurality, identify a of pixels as being associated with a particular object.

公开(公告)号：US20190324147A1

公开(公告)日：2019-10-24

申请号：US16456132

申请日：2019-06-28

Applicant: Innoviz Technologies Ltd.

Inventor： Amir DAY ,  Guy ZOHAR ,  Julian VLAIKO ,  Nir OSIROFF ,  Ronen ESHEL

IPC: G01S17/89 ,  G01S7/48 ,  G06K9/00 ,  G06T7/70

Abstract: A LIDAR system for use in a vehicle is provided. The LIDAR system may include at least one processor configured to control at least one light source for illuminating a field of view and scan a field of view by controlling movement of at least one deflector at which the at least one light source is directed. The at least one processor may also be configured to receive, from at least one sensor, reflections signals indicative of light reflected from an object in the field of view. The at least one processor may further be configured to detect at least one temporal distortion in the reflections signals, and determine from the at least one temporal distortion an angular orientation of at least a portion of the object.

公开(公告)号：US20190317217A1

公开(公告)日：2019-10-17

申请号：US16456426

申请日：2019-06-28

Applicant: Innoviz Technologies Ltd.

Inventor： Amir DAY ,  Guy ZOHAR ,  Julian VLAIKO ,  Nir OSIROFF ,  Ovadya MENADEVA

IPC: G01S17/58 ,  G01S17/02 ,  G01S17/93 ,  G06K9/62 ,  G06K9/20

Abstract: A vehicle-assistance system for classifying objects in a vehicle's surroundings is provided. The system may include at least one memory configured to store classification information for classifying a plurality of objects and at least one processor configured to receive, on a pixel-by-pixel basis, a plurality of measurements associated with LIDAR detection results. The measurements may include at least one of: a presence indication, a surface angle, object surface physical composition, and a reflectivity level. The at least one processor may also be configured to receive, on the pixel-by-pixel basis, at least one confidence level associated with each received measurement, and access the classification information. The at least one processor may further be configured to, based on the classification information and the received measurements with the at least one associated confidence level plurality, identify a of pixels as being associated with a particular object.

公开(公告)号：US20240337732A1

公开(公告)日：2024-10-10

申请号：US18674122

申请日：2024-05-24

Applicant: Innoviz Technologies Ltd.

Inventor： Amir DAY ,  Yair ANTMAN ,  Nir OSIROFF ,  Matityahu SHANI ,  David ELOOZ ,  Smadar DAVID RALY

IPC: G01S7/481 ,  B60S1/02 ,  B81B3/00 ,  G01H1/00 ,  G01S7/48 ,  G01S7/484 ,  G01S7/4863 ,  G01S7/4911 ,  G01S7/4914 ,  G01S7/497 ,  G01S17/06 ,  G01S17/10 ,  G01S17/32 ,  G01S17/42 ,  G01S17/58 ,  G01S17/89 ,  G01S17/931 ,  G02B26/12

CPC classification number: G01S7/4817 ,  B60S1/02 ,  B81B3/0018 ,  G01H1/00 ,  G01S7/4802 ,  G01S7/4808 ,  G01S7/4814 ,  G01S7/4815 ,  G01S7/4816 ,  G01S7/484 ,  G01S7/4863 ,  G01S7/4911 ,  G01S7/4914 ,  G01S7/497 ,  G01S17/06 ,  G01S17/10 ,  G01S17/32 ,  G01S17/42 ,  G01S17/58 ,  G01S17/89 ,  G01S17/931 ,  B81B2201/04 ,  G01S2007/4975 ,  G02B26/122

Abstract: A LIDAR system includes at least one processor configured to control at least one light source for projecting light toward a field of view and receive from at least one first sensor first signals associated with light projected by the at least one light source and reflected from an object in the field of view, wherein the light impinging on the at least one first sensor is in a form of a light spot having an outer boundary. The processor may further be configured to receive from at least one second sensor second signals associated with light noise, wherein the at least one second sensor is located outside the outer boundary; determine, based on the second signals received from the at least one second sensor, an indicator of a magnitude of the light noise; and determine, based on the indicator the first signals received from the at least one first sensor and, a distance to the object.

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.