A method for Time-of-Flight (ToF) sensing of a scene is provided. The method includes performing, by a ToF sensor, a plurality of first ToF measurements using a first modulation frequency to obtain first measurement values. A respective correlation function of each of the plurality of first ToF measurements is periodic and exhibits an increasing amplitude over distance within a measurement range of the ToF sensor. The method additionally includes determining a distance to an object in the scene based on the first measurement values.

The present disclosure relates to a coherent aperture array system for steering an optical source beam. The system may have a plurality of spaced apart, steerable emitters each being able to be mechanically aimed at a remote target location to steer portions of the source beam toward the target location. Each steerable emitter has a subaperture controllable independently of a remaining reflective surface of its associated steerable emitter, to receive and reflect a subportion of the source beam portion. The subportion forms a sense beam which is reflected toward a phase imaging system. A separate reference beam is created from the portion of the source beam travelling toward each steerable emitter. Each sense beam and each reference beam are thus associated uniquely with one of the steerable emitters. A phase imaging system is responsive to each of the reference beams and the sense beams, and determines phase differences between the portions of the source beam being transmitted from each steerable emitter.

An example computing system is configured to: (i) receive, from one or more sensors of a vehicle in motion over a body of water, a set of sensor data, (ii) based on the set of sensor data, determine (a) an instantaneous distance between the vehicle and a surface of the body of water and (b) an instantaneous slope of the surface of the body of water, (iii) based on at least one of the instantaneous distance or the instantaneous slope, determine a statistical representation of the surface of the body of water, and (iv) based on the determined statistical representation of the surface of the body of water, adjust one or more control surfaces of the vehicle to change one or more of a speed, altitude, heading, or attitude of the vehicle.

A distance measurement device according to the present disclosure includes: a light detection unit that receives light from a subject; a depth calculation section that calculates depth information of the subject on the basis of an output of the light detection unit; and an artifact removal section that divides an image into respective segments on the basis of the depth information and validates a segment of the respective segments in which a number of pixels exceeds a predetermined threshold and invalidates a segment in which the number of pixels is less than or equal to the predetermined threshold.

A distance measurement device according to the present disclosure includes: a light detection unit that receives light from a subject; a depth calculation section that calculates depth information of the subject on the basis of an output of the light detection unit; and an artifact removal section that divides an image into respective segments on the basis of the depth information and validates a segment of the respective segments in which a number of pixels exceeds a predetermined threshold and invalidates a segment in which the number of pixels is less than or equal to the predetermined threshold.

In a light receiving device, a light receiving element includes a first photoelectric conversion unit (PD) that converts light into electric charges, a first electric charge storage unit (MEM) to which the electric charges are transferred from the first photoelectric conversion unit, a first distribution gate, a second electric charge storage unit (MEM) to which the electric charges are transferred from the first photoelectric conversion unit, and a second distribution gate, in which the first and second distribution gates are provided at positions axially symmetric to each other with respect to a first center axis extending so as to pass through the center of the first photoelectric conversion unit, in a direction intersecting the column direction at a predetermined angle, when viewed from above the semiconductor substrate.

A method for operating a multifunction laser radar system including receiving a target state corresponding to parameters of a target, selecting a mode of operation from a plurality of modes of operation for the laser radar system based on the target state, receiving returns reflected by the target via the laser radar system operating in the selected mode of operation, processing the returns to calculate at least one target measurement, and determining a filtered target state based on the at least one target measurement.

Time-of-flight (TOF) systems and techniques whereby a first exposure obtains pixel measurements for a first subset of pixels of a pixel array, using a first reference signal. For a second exposure, the first subset of the pixels, e.g., every second line of the pixel array, are set to a “hold” state, so that values obtained from the first measurement are maintained. A second exposure using a second reference signal is performed for a second subset of the pixels. The first and second reference signals may have different phase shifts relative to a signal modulating an optical signal being measured. The result is an array of pixels in which the first and second subsets hold results of the first and second exposures, respectively. These pixel values can then be read out all at once, with certain calculations being performed directly as pixel values are read from the pixel array.

A camera assembly for determining depth information for a local area includes a light source assembly, a camera assembly, and a controller. The light source assembly projects pulses of light into the local area. The camera assembly images a portion of the local area illuminated with the pulses. The camera assembly includes augmented pixels, each augmented pixel having a plurality of gates and at least some of the gates have a respective local storage location. An exposure interval of each augmented pixel is divided into intervals associated with the gates, and each local storage location stores image data during a respective interval. The controller reads out, after the exposure interval of each augmented pixel, the image data stored in the respective local storage locations of each augmented pixel to generate image data frames. The controller determines depth information for the local area based in part on the image data frames.

The present disclosure relates to a method and an apparatus for controlling an electronic control suspension using a deep learning-based road surface classification model. The method for controlling an electronic control suspension in a vehicle including a camera and a GPS receiver may include collecting location information of the vehicle using the GPS receiver while driving, identifying whether there is a previously generated road surface classification model corresponding to a front obstacle when the front obstacle is detected, determining a first control value based on a first characteristic value corresponding to the road surface classification model when there is the road surface classification model as a result of the identification, controlling the electronic control suspension with the determined first control value when entering the obstacle, and collecting new sensing data through a physical sensor, and correcting the first characteristic value based on the new sensing data.