A robotic cleaning appliance includes a housing, surface treatment item, surface type detection sensor, and processor. The sensor emits sonic signals toward a surface being traversed and receives corresponding returned signals from the surface. The returned signals are used for surface type detection and include directly reflected primary returned signals and multi-path reflected secondary returned signals which return at a later time than the primary returned signals. The processor selects a window of time after transmission of a sonic signal such that the returned signals in the window comprise at least a portion of the secondary returned signals, wherein the window is related to round trip time-of-flight of the returned signals; processes the returned signals falling in the window to achieve a reflectivity metric; compares the reflectivity metric to a stored value; and based on the comparison, determines which surface type of a plurality of surface types has been detected.

Methods and devices for detecting movement of an object includes: receiving a plurality of output signal values from a sound wave receiver, each of the plurality of output signal values being representative of a distance between the object and the sound wave receiver; determining, based on the received plurality of output signal values, a difference value representative of a difference between a first output signal value and a second output signal value among the plurality of output signal values; determining whether the difference value is representative of motion of the object based on whether the difference value has a magnitude between a predetermined minimum threshold and a predetermined maximum threshold; and outputting a motion detection signal if the difference value is determined to have a magnitude between the predetermined minimum threshold and the predetermined maximum threshold.

Methods and devices for detecting movement of an object includes: receiving a plurality of output signal values from a sound wave receiver, each of the plurality of output signal values being representative of a distance between the object and the sound wave receiver; determining, based on the received plurality of output signal values, a difference value representative of a difference between a first output signal value and a second output signal value among the plurality of output signal values; determining whether the difference value is representative of motion of the object based on whether the difference value has a magnitude between a predetermined minimum threshold and a predetermined maximum threshold; and outputting a motion detection signal if the difference value is determined to have a magnitude between the predetermined minimum threshold and the predetermined maximum threshold.

Artificial intelligence can be used to provide accurate realignment functionality for various different marine devices on a watercraft. A system is provided for aligning one or more marine devices, where one or more controllers are configured to receive marine data from the marine device and receive secondary data from one or more second devices. An expected alignment characteristic is determined based on the secondary data and a corresponding deviation therefrom is determined based on marine data. In response to determining the deviation, the controllers are configured to cause at least one of a notification indicating a misalignment of the marine device to be provided to a user, a data adjustment to marine data so as to produce recalibrated marine data, or a physical adjustment to be applied to the marine device so as to subsequently receive realigned marine data from the marine device.

Artificial intelligence can be used to provide accurate realignment functionality for various different marine devices on a watercraft. A system is provided for aligning one or more marine devices, where one or more controllers are configured to receive marine data from the marine device and receive secondary data from one or more second devices. An expected alignment characteristic is determined based on the secondary data and a corresponding deviation therefrom is determined based on marine data. In response to determining the deviation, the controllers are configured to cause at least one of a notification indicating a misalignment of the marine device to be provided to a user, a data adjustment to marine data so as to produce recalibrated marine data, or a physical adjustment to be applied to the marine device so as to subsequently receive realigned marine data from the marine device.

An eye tracking unit that includes one or more transmitters that transmit a signal (e.g., a radar signal or an ultrasonic sound) at an eye, one or more receivers that receive a reflection of the signal generated by interaction of the signal with the eye, and an eye orientation estimation module that estimates an orientation of the eye based on the reflected signal received by the one or more ultrasonic receivers and based on a model of the eye. The eye tracking unit may be part of a head-mounted display (HMD) that includes a display element configured to display content to a user wearing the HMD. The model of the eye may be trained by displaying a visual indicator on the electronic element and detecting a reflected signal corresponding to the eye looking at the visual indicator.

A robotic cleaning appliance includes a housing, surface treatment item, surface type detection sensor, and processor. The sensor emits sonic signals toward a surface being traversed and receives corresponding returned signals from the surface. The returned signals are used for surface type detection and include directly reflected primary returned signals and multi-path reflected secondary returned signals which return at a later time than the primary returned signals. The processor selects a window of time after transmission of a sonic signal such that the returned signals in the window comprise at least a portion of the secondary returned signals, wherein the window is related to round trip time-of-flight of the returned signals; processes the returned signals falling in the window to achieve a reflectivity metric; compares the reflectivity metric to a stored value; and based on the comparison, determines which surface type of a plurality of surface types has been detected.

A robotic cleaning appliance includes a housing, surface treatment item, surface type detection sensor, and processor. The sensor emits sonic signals toward a surface being traversed and receives corresponding returned signals from the surface. The returned signals are used for surface type detection and include directly reflected primary returned signals and multi-path reflected secondary returned signals which return at a later time than the primary returned signals. The processor selects a window of time after transmission of a sonic signal such that the returned signals in the window comprise at least a portion of the secondary returned signals, wherein the window is related to round trip time-of-flight of the returned signals; processes the returned signals falling in the window to achieve a reflectivity metric; compares the reflectivity metric to a stored value; and based on the comparison, determines which surface type of a plurality of surface types has been detected.

A UE includes: a wireless transceiver; a directional, reflection-based ranging system configured to determine directions and distances between the UE and reflectors; and a processor configured to: obtain, from the ranging system (1) a first direction, between the UE and a particular reflector, and (2) a first distance, between the UE and the particular reflector, corresponding to the first direction; determine, based on a positioning reference signal (PRS) received by the wireless transceiver from a PRS source (3) a second direction, corresponding to an angle of arrival of the PRS at the UE, and (4) a second distance, traveled by the PRS from the PRS source to the UE, corresponding to the second direction; and determine whether the second distance is a line-of-sight distance between the UE and the PRS source based on the first direction, the first distance, the second direction, and the second distance.

In order to achieve object detection that does not detect an object moving at a speed within a prescribed speed range, the present invention comprises at least two cross-correlation calculation units which each calculate a cross correlation function between a waveform of a reflection signal obtained when a transmission signal having changing frequencies is reflected by a target object, and a different correlation waveform generated from the waveform of the transmission signal, and a synthesis unit that synthesizes at least two cross-correlation functions from at least the two cross-correlation calculation units so as to make detection of a target object moving at a speed within the prescribed speed range less likely, and that outputs the synthesis results to a post-processing unit.