Innoviz Technologies Ltd.

David Elooz

Omer Keilaf

Amit Steinberg

Oren Buskila

Oren Rosenzweig

Ronen Eshel

Nir Osiroff

Guy Zohar

Julian Vlaiko

Ovadya Menadeva

Sason Sourani

Moshe Medina

Yair Antman

Smadar David Raly

Amir Day

Matityahu Shani

Shahar Levy

Michael Girgel

Yair Alpern

Idan Bakish

Alon Gan

Oded Yeruhami

Pavel Berman

Hanoch Kremer

Matiyahu Shani

A LIDAR system including a MEMS scanning device is disclosed. The LIDAR system includes a light source, a light deflector, a sensor, and a processor. The light deflector deflects light from the light source or light received from an environment outside a vehicle in which the LIDAR system is installed. The sensor detects the light received from the light source or the environment. The processor determines a distance of one or more objects in the environment from the vehicle based on the signals from the sensor. The light deflector includes one or more actuators, which include one or more actuating arms. Connectors connect the actuating arms to an MEMS mirror or other deflector. The actuating arms move when subjected to an electrical field in the form of a voltage or current. Movement of the actuating arms causes movement of the MEMS mirror or deflector causing it to deflect light.

Efficient optical transmission in LIDAR systems

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

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

MEMS mirror having spaced actuators

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 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 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 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 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 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 to vary over a scan of a field of view; control projection of at least a first light emission directed toward a first portion of the field of view to determine an absence of objects in the first portion of the field of view at a first distance; when an absence of objects is determined in the first portion of the field of view, control projection of at least a second light emission directed toward the first portion of the field of view; and control projection of at least a third light emission directed toward the first portion of the field of view to determine an existence of an object in the first portion of the field of view.

Growing community of inventors

Kfar HaRoe, Israel

David Elooz