A sending time determination method includes: determining a transmission duration and a synchronization error of signal transmission between the device to be measured and a goniometric device; determining a receiving time slot for the goniometric device to receive ultrasonic goniometric signal sent by the device to be measured, where the goniometric device is configured to receive ultrasonic goniometric signals sent by a plurality of devices to be measured, and the goniometer device receives the ultrasonic goniometric signals sent by different devices to be measured in different receiving time slots; and determining a sending time of the ultrasonic goniometric signal according to the receiving time slot, the transmission duration and the synchronization error.

A LIDAR system includes a waveguide array configured to output a LIDAR output signal such that the LIDAR output signal is reflected by an object located off the LIDAR chip. The system also includes electronics configured to tune a wavelength of the LIDAR output signal such that the direction that the LIDAR output signal travels away from the LIDAR chip changes in response to the tuning of the wavelength by the electronics.

A LIDAR system includes a waveguide array configured to output a LIDAR output signal such that the LIDAR output signal is reflected by an object located off the LIDAR chip. The system also includes electronics configured to tune a wavelength of the LIDAR output signal such that the direction that the LIDAR output signal travels away from the LIDAR chip changes in response to the tuning of the wavelength by the electronics.

Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for a mobile device based control device locator. An embodiment operates by receiving a request to locate a control device, transmitting acoustic token transmission information to the control device to activate an electroacoustic transducer on the control device, receiving an acoustic signal including an acoustic token signal from the control device via a plurality of acoustic sensors, and determining distance information of the control device based on the received acoustic token signal generated by the electroacoustic transducer of the control device.

Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for a mobile device based control device locator. An embodiment operates by receiving a request to locate a control device, transmitting acoustic token transmission information to the control device to activate an electroacoustic transducer on the control device, receiving an acoustic signal including an acoustic token signal from the control device via a plurality of acoustic sensors, and determining distance information of the control device based on the received acoustic token signal generated by the electroacoustic transducer of the control device.

Methods and systems for determining the direction to at least one source contributing to a wave field. A wave field partial wave expansion (PWE) model is comprised of wave field partial wave functions (PWFs) and unknown PWE coefficients corresponding to the wave field PWFs. A source PWE model is comprised of source PWFs and source PWE coefficients corresponding to the source PWFs, the source PWE coefficients being expressed in terms of source PWFs of the directional coordinates of the source. A processor, using: the output signals from at least one sensor outputting signals consistent with Nyquist criteria representative of the wave field; a library of PWFs to determine at least one of the unknown PWE coefficients; and the source PWE model, determines directional coordinates of the source (wherein the number of floating point operations are reduced) and outputs the directional coordinates to a reporter configured for reporting information to humans.

An apparatus for providing marine information is provided including a user interface, a processor, and a memory including computer program code. The memory and the computer program code are configured to, with the processor, cause the apparatus to generate a sonar image based on sonar return data received from an underwater environment, determine a location associated with the sonar return data based on location data received from one or more position sensors, and render a nautical chart on a display. The computer program code is further configured to cause the apparatus to receive a user input on the user interface directed to a portion of the display in which the nautical chart is presented, and modify presentation of the nautical chart such that the portion of the display presents the sonar image in response to receiving the user input.

An apparatus for providing marine information is provided including a user interface, a processor, and a memory including computer program code. The memory and the computer program code are configured to, with the processor, cause the apparatus to generate a sonar image based on sonar return data received from an underwater environment, determine a location associated with the sonar return data based on location data received from one or more position sensors, and render a nautical chart on a display. The computer program code is further configured to cause the apparatus to receive a user input on the user interface directed to a portion of the display in which the nautical chart is presented, and modify presentation of the nautical chart such that the portion of the display presents the sonar image in response to receiving the user input.

Multi-modal speech localization is achieved using image data captured by one or more cameras, and audio data captured by a microphone array. Audio data captured by each microphone of the array is transformed to obtain a frequency domain representation that is discretized in a plurality of frequency intervals. Image data captured by each camera is used to determine a positioning of each human face. Input data is provided to a previously-trained, audio source localization classifier, including: the frequency domain representation of the audio data captured by each microphone, and the positioning of each human face captured by each camera in which the positioning of each human face represents a candidate audio source. An identified audio source is indicated by the classifier based on the input data that is estimated to be the human face from which the audio data originated.

Embodiments of this application disclose method and apparatus for positioning a target audio signal by an audio interaction device, and an audio interaction device The method includes: obtaining audio signals in a plurality of directions in a space, and performing echo cancellation on the audio signal, the audio signal including a target-audio direct signal; obtaining weights of a plurality of time-frequency points in the audio signals, a weight of each time-frequency point indicating, at the time-frequency point, a relative proportion of the target-audio direct signal in the audio signals; weighting time-frequency components of the audio signal at the plurality of time-frequency points separately for each of the plurality of directions by using the weights of the plurality of time-frequency points, to obtain a weighted audio signal energy distribution; and obtaining a sound source azimuth corresponding to the target-audio direct signal in the audio signals accordingly.