A method comprising: providing an autonomous vehicle (AV) with a first estimated position of a target; directing the AV to travel toward the first estimated position at a constant velocity; receiving echo signals of transmitted sonar signals, the echo signals indicating a range and an azimuth of the target; determining a depth difference of the AV and the target based on the received echo signals, the depth difference being determined based on changes to the range and azimuth of the target over time; and in response to a depth difference existing, re-directing the AV toward a second estimated position of the target generated from the depth difference.

A system and methods are described that implement a consumer device (smartphone-, tablet- and/or lap top) configured to detection motion via an application program installed on the devices non-transitory medium. The application program contains computer readable instructions instructing the device to perform a number of tasks and configures the device processor to detect motion using Doppler Effect and audio processing. The system uses existing hardware and software in devices (smartphones, tablets or laptops) including the devices non transitory computer readable medium comprising the application program with computer readable instructions, which upon activation, commands the device to transmit ultrasound (18.0-22.0 kHz) and receive the return sound, while the application program configures the device processor to use audio processing to identify shifts in transmitted sound frequency caused by Doppler Effect created by movement of an object or a person. The audio processing effectively turns the device into a short-range motion detector—effective up to 10 meters—detecting movement (not speed or direction) of human sized objects. When Doppler Effect data processing confirms movement, the application program can command the device to initiate a sequence of actions.

Techniques enabling improved classification of touch or hover interactions of objects with a touch sensitive surface of a device are presented. A speaker of the device can emit an ultrasonic audio signal comprising a first frequency distribution. A microphone of the device can detect a reflected audio signal comprising a second frequency distribution. The audio signal can be reflected off of an object in proximity to the surface to produce the reflected audio signal. A classification component can determine movement status of the object, or classify the touch or hover interaction, in relation to the surface, based on analysis of the signals. The classification component also can classify the touch or hover interaction based on such ultrasound data and/or touch surface or other sensor data. The classification component can be trained, using machine learning, to perform classifications of touch or hover interactions of objects with the surface.

A method and apparatus for processing a transceiver signal (115) detected by a transceiver (110). The method includes obtaining (51) a processed signal from the transceiver signal (115), the processed signal having frames (200, 300) corresponding to respective time intervals (t1, t2, t3, t4), wherein the frames define bins (210, 310) configured according to a quantized resolution (dr) of the transceiver signal (115). The method further includes obtaining (S2) data related to a relative motion of the transceiver (110) during a time interval (t1, t2, t3, t4) and initializing (S3) a residual distance to zero. For each frame (200, 300) and each respective time interval (t1, t2, t3, t4) the method further includes determining (S4) a shift distance (ds1, ds3) corresponding to a sum of the residual distance and a distance value (d1, d2) corresponding to a relative motion of the transceiver (110) in the respective time interval (t1, t2, t3, t4) and rounding (S5) the determined shift distance (ds1, ds3) with respect to the distance resolution (dr) to a rounded shift distance. The method then further includes updating (S6) the residual distance based on a difference between the determined shift distance (ds1, ds3) and the rounded shift distance, and generating (S7) an adjusted frame (304) by shifting the bins (310) of the frame by the rounded shift distance to account for relative transceiver motion with respect to the object (150) in the respective time interval. The method finally includes processing (S8) the signal by integrating bin values (210, 310) over the adjusted frames (300).

A survey system including a transmitter, receiver, projector array and hydrophone array transmits and receives sound waves to perform one or more survey missions.

A survey system including a multibeam echo sounder having a single projector array and a single hydrophone array constructs a multi-signal message and deconstructs a corresponding multi-signal echo to substantially simultaneously perform multiple survey missions.

A method for measuring, using a radar or sonar, the velocity with respect to the ground of a carrier moving parallel to the ground, includes the following steps: a) orienting the line of sight of the radar or sonar toward the ground; b) emitting a plurality of radar or sonar signals (P.sub.1-P.sub.N) that are directed toward the ground, and acquiring respective echo signals (E.sub.1-E.sub.N); c) processing the acquired echo signals so as to obtain, for one or more echo delay values, a corresponding Doppler spectrum; d) for the or at least one the echo delay value, determining a high cut-off frequency of the corresponding Doppler spectrum; and e) computing the velocity of the carrier with respect to the ground on the basis of the one or more high cut-off frequencies. A system allowing such a method to be implemented.

Disclosed are an ultrasonic processing method and apparatus, an electronic device, and a computer-readable medium, wherein same relate to the technical field of mobile terminals. The method includes: when it is monitored that an electronic device outputs a ringing sound, acquiring audio data of an ultrasonic signal received by an ultrasonic receiving apparatus, wherein the ultrasonic signal is a signal that is transmitted by an ultrasonic transmitting apparatus and returned after same is reflected by an object; determining, according to the audio data, a change in the distance between the electronic device and the object; and adjusting the volume of the ringing according to the change in the distance.

Disclosed herein are portable ultrasound imaging systems for thumb-dominant operations comprising: a portable ultrasound probe, wherein the portable ultrasound probe is configured to be operable using a first hand of the user; a mobile device comprising a mobile application installed thereon, the mobile application comprising a user interface, the mobile application configured to be operable using a second hand of the user and; and direct electronic communication between the portable ultrasound probe and the mobile device, the direct electronic communication configured to allow a user to control an operation of the portable ultrasound probe for imaging via user interaction with the user interface.

Techniques enabling improved classification of touch or hover interactions of objects with a touch sensitive surface of a device are presented. A speaker of the device can emit an ultrasonic audio signal comprising a first frequency distribution. A microphone of the device can detect a reflected audio signal comprising a second frequency distribution. The audio signal can be reflected off of an object in proximity to the surface to produce the reflected audio signal. A classification component can determine movement status of the object, or classify the touch or hover interaction, in relation to the surface, based on analysis of the signals. The classification component also can classify the touch or hover interaction based on such ultrasound data and/or touch surface or other sensor data. The classification component can be trained, using machine learning, to perform classifications of touch or hover interactions of objects with the surface.