Innoviz Technologies Ltd.

Innoivz Technologies Ltd.

Nir Osiroff

Amit Steinberg

Guy Zohar

Omer Keilaf

Oren Buskila

Oren Rosenzweig

Ronen Eshel

David Elooz

Julian Vlaiko

Amir Day

Ovadya Menadeva

Sason Sourani

Moshe Medina

Yair Antman

Michael Girgel

Smadar David Raly

Yair Alpern

Alon Gan

Pavel Berman

Oded Yeruhami

Hanoch Kremer

Matityahu Shani

Matiyahu Shani

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

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.

In some embodiments, a LIDAR system may include 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.

Pattern recognition used to characterize LIDAR window obstruction

Binning and non-binning combination

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.

Detecting angles of objects

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.

Classifying objects with additional measurements

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 for use with a roadway vehicle traveling on a highway may include 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. The processor may also be configured to control at least one 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 coordinate the control of the at least one light source with the control of the at least one light deflector such that during scanning of the field of view that encompasses a central region, a right peripheral region, and a left peripheral region, more light is directed to the central region than to the peripheral regions.

Dynamic illumination allocation in highway driving

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.

Optical budget apportionment in LIDAR

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 light to vary over a scanning cycle of a field of view. The processor may also be configured to control at least one deflector to deflect light to scan the field of view. The processor may also be configured to obtain input indicative of an impending cross-lane turn of the vehicle, and in response, coordinate the control of the at least one light source with the control of the at least one light deflector to increase light flux on a side of the vehicle opposite a direction of the cross-lane turn, causing a detection range opposing the direction of the cross-lane turn of the vehicle to temporarily exceed a detection range toward a direction of the cross-lane turn.

LIDAR detection scheme for cross traffic turns

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 intensity to vary over a scan 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; obtain an identification of at least one distinct region of interest in the field of view; and increase light allocation to the at least one distinct region of interest relative to other regions, such that following a first scanning cycle, light intensity in at least one subsequent second scanning cycle at locations associated with the at least one distinct region of interest is higher than light intensity in the first scanning cycle at the locations associated with the at least one distinct region of interest.

Variable flux allocation within a LIDAR FOV to improve detection in a region

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 at least one light source to vary over a plurality of scans of a field of view, the field of view including a near-field portion and a far-field portion; control at least one light deflector to deflect light from the at least one light source in a manner scanning the field of view; implement a first scanning rate for first frames associated with scanning cycles that cover the near-field portion and a second scanning rate for second frames associated with scanning cycles that cover the far-field portion; and control the at least one light source to alter a light source parameter and thereby project light in a manner enabling detection of objects in the second frames associated with the far-field portion.

Growing community of inventors

Givatayim, Israel

Nir Osiroff