The present disclosure is directed to a system and method of controlling a facial recognition process by validating preconditions with a ranging sensor. The ranging sensor transmits a ranging signal that is reflected off of a user's face and received back at the ranging sensor. The received ranging signal can be used to determine distance between the user's face and the mobile device or to determine the reflectivity of the user's face. Comparing the distance to a range of distances corresponding to normal operation of the device or normal reflectivities associated with human skin tones can reduce the number of false positive activations of the facial recognition process. Furthermore, a multiple zone ranging sensor can produce a face depth map that can be compared to a stored face depth map or can produce a reflectivity map that can be compared to a stored face reflectivity map to further increase power efficiency and device security.

The present disclosure is directed to a system and method of controlling a facial recognition process by validating preconditions with a ranging sensor. The ranging sensor transmits a ranging signal that is reflected off of a user's face and received back at the ranging sensor. The received ranging signal can be used to determine distance between the user's face and the mobile device or to determine the reflectivity of the user's face. Comparing the distance to a range of distances corresponding to normal operation of the device or normal reflectivities associated with human skin tones can reduce the number of false positive activations of the facial recognition process. Furthermore, a multiple zone ranging sensor can produce a face depth map that can be compared to a stored face depth map or can produce a reflectivity map that can be compared to a stored face reflectivity map to further increase power efficiency and device security.

A lidar receiver can employ multiple processors to distribute the workload of processing returns from laser pulse shots. Activation/deactivation times of pixel sets that are used by the lidar receiver to sense returns can be used to define which samples in a return buffer will be used for processing to detect each return, and multiple processors can share the workload of processing these samples in an effort to improve the latency of return detection.

A distance measurement system includes: a signal generator which generates a light emission signal that instructs light emission and an exposure signal that instructs exposure of reflected light; a first illumination and distance measurement light source which receives the light emission signal and, according to the signal received, performs the light emission for illumination without a purpose of distance measurement and the light emission with the purpose of distance measurement using the reflected light; an imaging device which receives the exposure signal, performs the exposure according to the signal received, and obtains an amount of light exposure of the reflected light; and a calculator which calculates distance information using the amount of light exposure and outputs the distance information, wherein the distance measurement system has operation modes including an illumination mode and a first distance measurement mode.

A Slope Stability Lidar that directs a beam of optical radiation into an area on a point by point basis, each point having an elevation and azimuth and a processor that acquires data and processes the data to compile direction data, range data and amplitude data for each point, segments the acquired data into blocks of data defining a voxel, averaging the acquired range data within the voxel to produce a precise voxel range value for each voxel, comparing voxel range values over time to identify movement and generating an alert if movement exceeds a threshold.

In a distance measuring device that measures a distance to an object using a round-trip time of light, a solid-state image sensor includes a plurality of pixel groups capable of being exposed independently, and causes each of the plurality of pixel groups to receive, at a different exposure time, reflected light from the object that is originally pulsed radiation light from a light emitter. A light emission and exposure controller cyclically and intermittently exposes each of the plurality of pixel groups of the solid-state image sensor at the different exposure time to obtain pixel signals of types corresponding to a time difference between the reflected light and the radiation light, and a signal processor obtains information about the distance to the object according to pixel signals of adjacent pixels exposed at different exposure times for each of the plurality of pixel groups.

The present disclosure provides a robot relocalization method including: obtaining a level feature of an object in a laser map and calculating a first pose list; matching a laser subgraph point cloud collected by the robot with the first pose list to obtain a second pose list, if a distance between the level feature of the object and an initial position of a relocation of the robot is smaller than a threshold; splicing the laser subgraph point cloud into subgraphs, and performing a multi-target template matching to obtain a first matching candidate result; filtering the first matching candidate result based on the second pose list to obtain a second matching candidate result; determining a overlapping area of the second matching candidate result and the subgraph, and matching boundary points in the overlapping area with the laser subgraph point cloud to obtain the result of the relocation of the robot.

A system including: a light source, a switchable diffuser, a structured light detector, and a ToF detector. The light source and switchable diffuser are controlled to operate in concert (together, and/or with other optical and electrical elements of the system) to project pulses of collimated beams of light (interleaved between pulses of flood light) during a single image capture period, the pulses of collimated beams of light being resolvable by the structured light detector and the ToF detector within the same image capture period.

Various embodiments of the present invention are directed towards a system and methods for generating three dimensional (3D) images with increased composite vertical field of view and composite resolution for a spinning three-dimensional sensor, based on actuating the sensor to generate a plurality of sensor axis orientations as a function of rotation of the actuator. The output data from the sensor, such as a spinning LIDAR, is transformable as a function of the actuator angle to generate three dimensional imagery.

Various embodiments of the present invention are directed towards a system and methods for generating three dimensional (3D) images with increased composite vertical field of view and composite resolution for a spinning three-dimensional sensor, based on actuating the sensor to generate a plurality of sensor axis orientations as a function of rotation of the actuator. The output data from the sensor, such as a spinning LIDAR, is transformable as a function of the actuator angle to generate three dimensional imagery.