An imaging apparatus includes: a light reception unit that receives a light emission signal from a transmission apparatus via a pixel; a detection unit that detects whether or not an output based on the light emission signal received by the light reception unit is a first threshold value or more; and a correction unit that corrects a luminance of the pixel when the output based on the light emission signal is the first threshold value or more based on a result detected by the detection unit.

A range finding apparatus includes a light emission unit including a light source and a light source driver, a light detection unit, and circuitry. The light source driver supplies a plurality of drive pulses having different pulse width at different time periods. The light detection unit receives the light emitted from the light emission unit and then reflected from an object. The circuitry calculates a range to the object based on a time difference between one time point when a pulse light is emitted from the light source and another time point when light reflected from the object is received by the light detection unit. One of the drive pulses set with a smaller pulse width is set with a sine wave pattern, and another one of the drive pulses set with a greater pulse width is set with a rectangular wave pattern.

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.

Techniques associated with generating or tuning parameters associated with long wave infrared sensor data to improve object detection associated with the captured images are discussed herein. The system may determine a region of interest associated with the sensor data and adjust or tune the parameters to improve detection(s) within the region of interest. Additionally, the system may adjust the parameters based on map data and/or environmental conditions, such as weather and temperature.

A light ranging system can include a laser device and an imaging device having photosensors. The laser device illuminates a scene with laser pulse radiation that reflects off of objects in the scene. The reflections can vary greatly depending on the reflecting surface shape and reflectivity. The signal measured by photosensors can be filtered with a number of matched filter designed according to profiles of different reflected signals. A best matched filter can be identified, and hence information about the reflecting surface and accurate ranging information can be obtained. The laser pulse radiation can be emitted in coded pulses by allowing weights to different detection intervals. Other enhancements include staggering laser pulses and changing an operational status of photodetectors of a pixel sensor, as well as efficient signal processing using a sensor chip that includes processing circuits and photosensors.

An auxiliary positioning system includes a mobile platform and a plurality of reflective stickers. The reflective stickers are disposed in a navigation space. The mobile platform includes a map-establishing module, a positioning module, a laser scan and analysis module, a coordinate-processing module, a comparison module and a calibration module. The map-establishing module is utilized to generate a global map. The positioning module is utilized to locate a position coordinate. The laser scan and analysis module is utilized to scan the navigating space to generate a scan direction and distance vector. The coordinate-processing module is utilized to generate a position direction and distance vector. The comparison module is utilized to compare the scanning coordinate with the mapping coordinate. The calibration module is utilized to calibrate the position coordinate.

A laser sensing system includes an emitter configured to emit a laser, and a controller. The intensity of the laser is based upon power provided to the laser sensing system. The controller is configured to control the power provided to the laser sensing system, obtain feedback parameters indicative in part of molecular content of the atmosphere, and control the power provided to the laser sensing system based upon the feedback parameters.

The present invention provides a method and a system for initialization diagnosis of a mobile robot. The present invention comprises the steps, executed by at least one processor included in a mobile robot, of executing an initialization diagnosis command to cause an initialization operation to be performed, the initialization operation being necessary to determine an initialization quality when a diagnosis target module transitions from an idle state to a wake-up state; receiving diagnosis acquisition information including a response according to the initialization diagnosis command in the wake-up state of the diagnosis target module; and, by using a task mission to be performed by the mobile robot and the diagnosis acquisition information, calculating an initialization quality evaluation result value indicating the initialization quality of the diagnosis target module, and executing a response operation according to the initialization quality evaluation result value.

A position management device includes: a sensor which acquires point cloud data in each unit time; a pair selection unit which selects a pair of the coordinates between first point cloud data and second point cloud data; and a position estimation unit which estimates a position of the moving object by making both coordinates of the pair selected by the pair selection unit correspond to each other and performing positioning processing of the first point cloud data and the second point cloud data. The pair selection unit selects the pair of the coordinates by pairing a first point belonging to the first point cloud data and a second point belonging to the second point cloud data in a case where a difference between a direction of the first point and a direction of the second point is equal to or smaller than a predetermined first threshold.