A system for analysis of sonar data is provided comprising sonar transducer assembl(ies), processor(s), and a memory. The memory includes computer program code that is configured to, when executed, cause processor(s) to receive sonar data, where an object is represented within sonar data, and additional data from a data source other than the sonar transducer assembl(ies). The processor(s) further determine object characteristic(s) of the object using sonar data and additional data, and determine an estimated object-type for the object represented within sonar data using the object characteristic(s). The processor(s) further generate a sonar image based on sonar data, cause display of the sonar image, and cause provision of an indication of the estimated object-type so that the indication of the estimated object-type is correlated to the object representation in the sonar image.

An apparatus for nautical tracking, where the apparatus detects at least one object. The apparatus further determines radar information associated with the at least one object, and calculates a first velocity vector associated with the at least one object. The apparatus further determines information associated with a tidal current of the water body, and calculates a second velocity vector based on the information associated with the tidal current. The apparatus further compares the first velocity vector and the second velocity vector in order to classify an object of the at least one object as a target, and further notifies a user of the target.

An apparatus for nautical tracking, where the apparatus detects at least one object. The apparatus further determines radar information associated with the at least one object, and calculates a first velocity vector associated with the at least one object. The apparatus further determines information associated with a tidal current of the water body, and calculates a second velocity vector based on the information associated with the tidal current. The apparatus further compares the first velocity vector and the second velocity vector in order to classify an object of the at least one object as a target, and further notifies a user of the target.

A method for finding door location in an automated way based on observations of people that are equipped with a device whose position is determined acoustically. By observing positioning transitions across internal structures such as walls, the location of doors can be automatically identified.

An in-air sonar system is provided for determining location and velocity information of objects in an environment. The in-air sonar system includes at least two emitters configured to emit respective sound signals into the environment; at least two receivers configured to receive sound signals from the environment; and a processing unit configured to perform: obtaining, from the receivers, respective received sound signals comprising the emitted sound signal reflected from objects in the environment; calculating, from the respective received sound signals, respective velocity-dependent range maps; deriving, from the calculated velocity-dependent range maps and the spatial diversity of the receivers, a velocity-dependent range-direction map comprising range information as a function of a received direction; determining therefrom a location of the respective objects; and extracting, from the velocity-dependent range maps and the spatial diversity of the receivers, a velocity of the respective objects based on the determined location.

A method for finding door location in an automated way based on observations of people that are equipped with a device whose position is determined acoustically. By observing positioning transitions across internal structures such as walls, the location of doors can be automatically identified.

A method for finding door location in an automated way based on observations of people that are equipped with a device whose position is determined acoustically. By observing positioning transitions across internal structures such as walls, the location of doors can be automatically identified.

This disclosure describes presence-detection devices that detect movement of a person by emitting ultrasonic signals into an 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. The techniques include downsampling the audio signals from the carrier frequency range down to a frequency range with a center frequency around 0 Hz. A filter is applied to attenuate signals around 0 Hz and below (or above), such as the emitted signals. In addition to removing the emitted signals, the negative side (or positive side) of the audio signals are removed, but the Doppler shift is still represented in the remaining portion of the audio signals. By removing a portion of the audio signals, the amount of processing required to detect the Doppler shift in the reflections of the ultrasonic signals is reduced.

A motion state estimation method and apparatus relate to the fields of wireless communication and autonomous driving/intelligent driving. The method includes a step of obtaining a plurality of pieces of measurement data using a first sensor, where each of the plurality of pieces of measurement data includes at least velocity measurement information. The method further includes obtaining a motion state of the first sensor based on measurement data in the plurality of pieces of measurement data that corresponds to a target reference object, where the motion state includes at least a velocity vector of the first sensor. In the present disclosure, a more accurate motion state of the first sensor can be obtained, and a vehicle's autonomous driving capability or advanced driver assistant system (ADAS) capability is further improved.

This invention relates to a method of reducing error in a SODAR system adapted to locate discontinuities in the atmosphere over a range extending away from an acoustic transmitter and receiver, the method comprising the steps of: measuring wind to determine either a substantially upwind direction or a substantially downwind direction relative to the transmitter; transmitting one or more forward or reverse acoustic chirps in the substantially upwind or downwind direction; receiving one or more acoustic echoes of the transmitted chirps; and processing the acoustic echoes to provide an indication of the discontinuities in the atmosphere over the range, thereby providing a wind shear profile.