A processor of a sonar system extracts a signal in a predetermined time range from a signal received by an acoustic array, calculates a correlation value for a signal waveform extracted, detects a peak value of the correlation value, calculates an integrated value by performing time-integration of a square of the correlation value, obtains a target velocity based on the peak value and the integrated value, and displays the target velocity on a display apparatus.

To provide a mechanism for selectively taking an external sound from an appropriate sound source into an internal space of a moving object. An information processing apparatus including an acquisition unit configured to acquire an audio signal from a sound source existing outside a moving object, a generation unit configured to generate an audio signal from a target sound source at a distance from the moving object, the distance being a distance according to a speed of the moving object, of the sound sources, on the basis of the audio signal acquired by the acquisition unit, and an output control unit configured to output the audio signal generated by the generation unit toward an internal space of the moving object.

A surroundings monitoring apparatus obtains the position of an object from a captured image of a region in a heading direction of a vehicle, and obtains a position obtainment accuracy. When the distance between the object and the vehicle becomes relatively short, the position obtainment accuracy increases. However, the distance between the object and the vehicle becomes shorter, the position obtainment accuracy may decrease. Therefore, if collision avoidance control is performed for an object selected on the basis of the position obtainment accuracy, there is a possibility that the collision avoidance control is not performed for an object which is most likely to collide with the vehicle. In view of this, the apparatus obtains, for each object, a required deceleration which is the magnitude of acceleration necessary for stoppage at a position before the object, and performs the collision avoidance control for an object which is the largest in the required deceleration.

A pressure tolerant energy system may comprise a pressure tolerant cavity and an energy system enclosed in the pressure tolerant cavity configured to provide electrical power to the vehicle. The energy system may include one or more battery cells and a pressure tolerant, programmable management circuit. The pressure tolerant cavity may be filled with an electrically-inert liquid, such as mineral oil. In some embodiments, the electrically-inert liquid may be kept at a positive pressure relative to a pressure external to the pressure tolerant cavity. The energy system may further comprise a pressure venting system configured to maintain the pressure inside the pressure tolerant cavity within a range of pressures. The pressure tolerant cavity may be sealed to prevent water ingress.

An illustrative example method of tracking an object includes detecting one or more points on the object over time to obtain a plurality of detections, determining a position of each of the detections, determining a relationship between the determined positions, and determining an estimated heading angle of the object based on the relationship.

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.

Systems and methods for performing operations based on acoustic locationing are described. An example device includes one or more microphones configured to sense sound waves propagating in an environment. The example device also includes one or more processors and one or more memories coupled to the one or more processors. The one or more memories store instructions that, when executed by the one or more processors, cause the device to recover sound wave information from the sensed sound waves, detect a presence of one or more persons in the environment based on the received sound wave information, determine an operation to be performed by one or more smart devices based on the detected presence of one or more persons, and instruct the one or more smart devices to perform the operation.

Systems and methods for performing operations based on acoustic locationing are described. An example device includes one or more microphones configured to sense sound waves propagating in an environment. The example device also includes one or more processors and one or more memories coupled to the one or more processors. The one or more memories store instructions that, when executed by the one or more processors, cause the device to recover sound wave information from the sensed sound waves, detect a presence of one or more persons in the environment based on the received sound wave information, determine an operation to be performed by one or more smart devices based on the detected presence of one or more persons, and instruct the one or more smart devices to perform the operation.

A method of determining a measure of wave speed intensity in a fluid conduit uses ultrasound measurements to determine the conduit diameter, as a function of time, at a longitudinal position of the conduit, and to determine a measure of fluid velocity, as a function of time, in a volume element at said longitudinal position of the conduit. The ultrasound measurement to determine the measure of fluid velocity is effected by decorrelation of scattering objects within the fluid flow in successive frames sampling the volume element. A wave speed may be determined from a ratio of the change in fluid velocity at the longitudinal position as a function of time and the change in a logarithmic function of the conduit diameter as a function of time. A measure of wave intensity may be determined as a function of change in determined conduit diameter and corresponding change in fluid velocity.

An illustrative example method of tracking an object includes detecting one or more points on the object over time to obtain a plurality of detections, determining a position of each of the detections, determining a relationship between the determined positions, and determining an estimated heading angle of the object based on the relationship.