A method of configuring a touch sensor includes transmitting an ultra-sonic test signal induced by a first excitation signal towards a touch structure that has a first interface with an enclosed interior volume of the touch sensor and a second interface with an external environment; receiving a plurality of ultra-sonic reflected signals produced from the ultra-sonic test signal and the touch structure, including a first ultra-sonic reflected signal internally reflected by the first interface and a last ultra-sonic reflected signal internally reflected by the second interface; determining a last time of flight corresponding to the last ultra-sonic reflected signal; and selectively configuring a second excitation signal based on the last time of flight. The second excitation signal is used for inducing further ultra-sonic signals.

Disclosed is a SONAR system operable to transmit a pair of pulses including an up-chirp signal and a down-chirp signal wherein the down-chirp signal is a time-reversed version of the up-chirp signal. Also disclosed is a related method of operation.

Disclosed is a SONAR system operable to transmit a pair of pulses including an up-chirp signal and a down-chirp signal wherein the down-chirp signal is a time-reversed version of the up-chirp signal. Also disclosed is a related method of operation.

A system associated with predicting authentication of a device user based on a joint features representation related to an echo-signature associated with a device is disclosed. The system performs operations that include emitting acoustic signals in response to a request for processing of a profile associated with the device. The system receives a set of echo acoustic signals that are tailored based on reflection of the acoustic signals from unique contours of one or more depth portions associated with the user relative to a discrete epoch. One or one or more region segments associated with the echo acoustic signals are extracted in order to train a classification model. A classification model is generated based on the one or more region segments as extracted. A joint features representation based on the classification model is generated. A vector-based classification model is used in the prediction of the joint features representation. The system determines whether the joint features representation is associated with the echo-signature based on the prediction of the joint features representation. A corresponding method and computer-readable device are also disclosed.

A system associated with predicting authentication of a device user based on a joint features representation related to an echo-signature associated with a device is disclosed. The system performs operations that include emitting acoustic signals in response to a request for processing of a profile associated with the device. The system receives a set of echo acoustic signals that are tailored based on reflection of the acoustic signals from unique contours of one or more depth portions associated with the user relative to a discrete epoch. One or one or more region segments associated with the echo acoustic signals are extracted in order to train a classification model. A classification model is generated based on the one or more region segments as extracted. A joint features representation based on the classification model is generated. A vector-based classification model is used in the prediction of the joint features representation. The system determines whether the joint features representation is associated with the echo-signature based on the prediction of the joint features representation. A corresponding method and computer-readable device are also disclosed.

Techniques for calibrating presence-detection devices to account for various factors that can affect the presence-detection devices' ability to detect movement. Presence-detection devices may detect movement of a person in an environment by emitting ultrasonic signals into the environment, and characterizing the change in the frequency, or the Doppler shift, of the reflections of the ultrasonic signals off the person caused by the movement of the person. However, factors such as environmental acoustic conditions, noise sources, etc., may affect the ability of the presence-detection devices to detect movement. To calibrate for these factors, the presence-detection devices may use a loudspeaker to emit an ultrasonic sweep signal that spans different frequencies in an ultrasonic frequency range. The presence-detection devices may generate audio data using a microphone that represents the ultrasonic sweep signal, and analyze that audio data to determine an optimal frequency range and/or transmission power for subsequent ultrasonic signal transmissions.

A computer implemented method for determining the position of a vehicle, wherein the method comprises: determining at least one scan comprising a plurality of detection points, wherein each detection point is evaluated from a signal received at the at least one sensor and representing a location in the vehicle environment; determining, from a database, a predefined map, wherein the map comprises a plurality of elements in a map environment, each of the elements representing a respective one of a plurality of static landmarks in the vehicle environment, and the map environment representing the vehicle environment; matching the plurality of detection points and the plurality of elements of the map; determining the position of the vehicle based on the matching; wherein the predefined map further comprises a spatial assignment of a plurality of parts of the map environment to the plurality of elements, and wherein the spatial assignment is used for the matching.

A computer implemented method for determining the position of a vehicle, wherein the method comprises: determining at least one scan comprising a plurality of detection points, wherein each detection point is evaluated from a signal received at the at least one sensor and representing a location in the vehicle environment; determining, from a database, a predefined map, wherein the map comprises a plurality of elements in a map environment, each of the elements representing a respective one of a plurality of static landmarks in the vehicle environment, and the map environment representing the vehicle environment; matching the plurality of detection points and the plurality of elements of the map; determining the position of the vehicle based on the matching; wherein the predefined map further comprises a spatial assignment of a plurality of parts of the map environment to the plurality of elements, and wherein the spatial assignment is used for the matching.

A system for stand-off screening of individuals and/or an item of baggage carried by an individual. The system including: a sensor array, the sensor array including: an optical sensor, configured to collect data indicative of a position of the individual and/or the presence and dimension of the item of baggage relative to the optical sensor; a first radar sensor, configured to collect data indicative of: properties of objects concealed under clothing worn by the individual and/or properties of one or more objects within the item of baggage; an acoustic sensor, configured to collect data indicative of: properties of objects concealed under clothing worn by the individual and/or properties of one or more objects within the item of baggage. The system also includes a processor, configured to combine the data collected from the optical sensor, the first radar sensor, and the acoustic sensor, and to derive a risk estimation for the individual and/or the item of baggage carried by the individual based on the combined data.

The present invention relates to a method for detecting a thickness of a tree canopy based on an ultrasonic echo signal, and belongs to the technical field of agricultural machinery information sensing and detection. The present invention analyzes and discriminates a first effective peak and a last effective peak of the ultrasonic echo signal, obtains a first effective peak time and a last effective peak time, and calculates the thickness of the tree canopy according to a provided calculation formula, thus realizing the direct detection of the thickness of the tree canopy. This method has characteristics such as a high accuracy and a wide application range, and is applicable to the field of detection of the thickness of a tree canopy in industries such as agricultural machinery and forestry machinery.