Innoviz Technologies Ltd.

Verifood, Ltd.

Oren Buskila

Omer Keilaf

Amit Steinberg

Ronen Eshel

David Elooz

Guy Zohar

Oren Rosenzweig

Julian Vlaiko

Nir Osiroff

Yair Antman

Uri Kinrot

Damian Goldring

Dror Sharon

Sagee Rosen

Guy Brodetzki

Ittai Nir

Assaf Carmi

Amir Day

Smadar David Raly

Pavel Berman

Ovadya Menadeva

Shahar Levy

Yair Alpern

Oded Yeruhami

Hanoch Kremer

Systems and methods use LIDAR technology. In one implementation, a LIDAR system includes at least one processor configured to: control activation of at least one light source for illuminating a field of view; receive from at least one sensor having a plurality of detection elements reflections signals indicative of light reflected from objects in the field of view; dynamically allocate a first subset of the plurality of detection elements to constitute a first pixel; dynamically allocate a second subset of the plurality of detection elements to constitute a second pixel; following processing of the first pixel and the second pixel, dynamically allocate a third subset of the plurality of detection elements to constitute a third pixel, the third subset overlapping with at least one of the first subset and the second subset, and differing from each of the first subset and the second subset; and following processing of the first pixel and the second pixel, dynamically allocate a fourth subset of the plurality of detection elements to constitute a fourth pixel, the fourth subset overlapping with at least one of the first subset, the second subset, and the third subset, and differing from each of the first subset, the second subset, and the third subset.

Varying detection sensitivity between detections in LIDAR systems

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.

LIDAR systems and methods for detection and classification of objects

The present disclosure provides systems and methods that use LIDAR technology. In one implementation, a LIDAR system includes at least one processor configured to: control activation of at least one light source for illuminating a field of view; receive from at least one sensor a reflection signal associated with an object in the field of view, a time lapse between light leaving the at least one light source and reflection impinging on the least one sensor constituting a time of flight; and alter an amplification parameter associated with the at least one sensor during the time of flight.

Dynamically allocating detection elements to pixels in LIDAR systems

A spectrometer system may be used to determine one or more spectra of an object, and the one or more spectra may be associated with one or more attributes of the object that are relevant to the user. While the spectrometer system can take many forms, in many instances the system comprises a spectrometer and a processing device in communication with the spectrometer and with a remote server, wherein the spectrometer is physically integrated with an apparatus. The apparatus may have a function different than that of the spectrometer, such as a consumer appliance or device.

Spectrometry system applications

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.

Detecting objects based on reflectivity fingerprints

A LIDAR system is provided. The LIDAR system comprises at least one processor configured to: control light emission of a light source; scan a field of view by repeatedly moving at least one light deflector located in an outbound path of the light source; while the at least one deflector is in a particular instantaneous position, receive via the at least one deflector, reflections of a single light beam spot along a return path to a sensor; receive from the sensor on a beam-spot-by-beam-spot basis, signals associated with an image of each light beam-spot, wherein the sensor includes a plurality of detectors and wherein a size of each detector is smaller than the image of each light beam-spot; and determine, from signals resulting from the impingement on the plurality of detectors, at least two differing range measurements associated with the image of the single light beam-spot.

Detector-array based scanning LIDAR

A LIDAR system for use in a vehicle may include at least one light source configured to project light toward a field of view for illuminating a plurality of objects in an environment of a vehicle and at least one processor configured to control the at least one light source in a manner enabling light flux of light from the at least one light source to vary over scans of a plurality of portions of the field of view. The LIDAR system may receive information indicating that a temperature associated with at least one system component exceeds a threshold, and in response to the received information indicating the temperature exceeding the threshold, modify an illumination ratio between two portions of the field of view such that during at least one subsequent scanning cycle less light is delivered to the field of view than in a prior scanning cycle.

Temperature based control in LIDAR

A LIDAR system is provided. The LIDAR system comprises at least one processor configured to: control at least one deflector to deflect light from a plurality of light sources along a plurality of outbound paths, towards a plurality of regions forming a field of view while the at least one deflector is in a particular instantaneous position; control the at least one deflector such that while the at least one deflector is in the particular instantaneous position, light reflections from the field of view are received on at least one common area of the at least one deflector; and receive from each of a plurality of detectors, at least one signal indicative of light reflections from the at least one common area while the at least one deflector is in the particular instantaneous position.

Parallel scene scanning in LIDAR using a common steerable deflector

A LIDAR system is provided. The LIDAR system comprises at least one processor configured to: control at least one light source in a manner enabling light flux to vary over a scan of a field of view, the field of view including a first portion and a second portion; receive on a pixel-by-pixel basis, signals from at least one sensor; estimate noise in at least some of the signals associated with the first portion of the field of view; alter a sensor sensitivity for reflections associated with the first portion of the field of view; estimate noise in at least some of the signals associated with the second portion of the field of view; and alter a sensor sensitivity for reflections associated with the second portion of the field of view based on the estimation of noise in the second portion of the field of view.

Adaptive noise mitigation for different parts of the field of view

A LIDAR system is provided. The LIDAR system comprises at least one processor configured to: control at least one light source in a manner enabling light flux to vary over scans of a field of view using light from the at least one light source; control at least one light deflector to deflect light from the at least one light source; receive from at least one sensor, reflections signals indicative of light reflected from objects in the field of view; determine, based on the reflections signals of an initial light emission, whether an object is located in an immediate area of the LIDAR system and within a threshold distance from the at least one light deflector, and when no object is detected in the immediate area, control the at least one light source such that an additional light emission is projected toward the immediate area.

Adaptive lidar illumination techniques based on intermediate detection results

A LIDAR system for use in a vehicle may include at least one processor configured to control at least one light source in a manner enabling light flux of at least one light source to vary over scans of a field of view. The processor may also be configured to control at least one light deflector to deflect light from the at least one light source in order to scan the field of view. The processor may also be configured to receive input indicative of a current driving environment of the vehicle, and based on the current driving environment, coordinate the control of the at least one light source with the control of the at least one light deflector to dynamically adjust an instantaneous detection distance by varying an amount of light projected and a spatial light distribution of light across the scan of the field of view.

Dynamic mode of operation based on driving environment

A LIDAR system is provided. The LIDAR system comprises at least one processor configured to: control at least one light source in a manner enabling light flux of light from at least one light source to vary over a scanning cycle of a field of view; receive from at least one sensor reflections signals indicative of light reflected from objects in the field of view; coordinate light flux and scanning in a manner to cause at least three sectors of the field of view to occur in a scanning cycle, a first sector having a first light flux and an associated first detection range, a second sector having a second light flux and an associated second detection range, and a third sector having third light flux and an associated a third detection range; and detect an object in the second sector.

Steerable high energy beam

A LIDAR system is provided. The LIDAR system comprises at least one processor configured to: access an optical budget stored in memory, the optical budget being associated with at least one light source and defining an amount of light that is emittable in a predetermined time period by the at least one light source; receive information indicative of a platform condition for the LIDAR system; based on the received information, dynamically apportion the optical budget to a field of view of the LIDAR system based on at least two of: scanning rates, scanning patterns, scanning angles, spatial light distribution, and temporal light distribution; and output signals for controlling the at least one light source in a manner enabling light flux to vary over scanning of the field of view in accordance with the dynamically apportioned optical budget.

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Hod Hasharon, Israel

Oren Buskila