According to one embodiment, a measuring apparatus includes an ultrasonic transmitter, an ultrasonic receiver and an estimator. An ultrasonic transmitter transmits, as a transmission signal, an ultrasonic beam in a plurality of directions. An ultrasonic receiver receives, as received signals, reflected waves of the transmission signal from the plurality of directions, one received signal including a plurality of reflected waves when the transmission signal is transmitted to one direction of the plurality of directions. An estimator that estimates range information from the received signals, based on preliminarily obtained received signals and a preliminarily obtained distance to an object.

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

Object detection may include transmitting, by a first device, a first pulse into an environment using a wide field configuration of an ultrasonic sensor array, detecting a presence of an object in the environment based on a detected echo based on the first pulse. In response to detecting the presence of the object, a targeted configuration of the ultrasonic sensor array is determined, and a second pulse is transmitted into the environment based on the second pulse, wherein a characteristic of the object is determined based on a detected echo from the second pulse.

An obstacle detection apparatus for vehicles includes: a first probe wave sensor detecting a direct wave distance as a distance to an obstacle by transmitting a probe wave and receiving a reflection wave of the probe wave reflected by the obstacle; a second probe wave sensor receiving the reflection wave to detect an indirect wave distance as a distance to the obstacle by receiving the reflection wave; an approach determinator determining whether the obstacle is present between the first probe wave sensor and the second probe wave sensor and whether the obstacle is approaching the vehicle; and a distance determinator determining an obstacle distance to be less than or equal to a predetermined distance range when the indirect wave distance falls out of the distance range as the obstacle is present between the first probe wave sensor and the second probe wave sensor and the obstacle is approaching the vehicle.

Generally, a scanning device performs a sonic scan of a space by generating an ultrasonic impulse and measuring reflected signals as raw audio data. Sonic scan data including raw audio data and an associated scan location is forwarded to a sonic mapping service, which generates and distributes a 3D map of the space called a sonic map. When multiple devices contribute, the map is a collaborative sonic map. The sonic mapping service is advantageously available as distributed computing service, and can detect acoustic characteristics of the space and/or attribute visual/audio features to elements of a 3D model based on a corresponding detected acoustic characteristic. Various implementations that utilize a sonic map, detected acoustic characteristics, an impacted visual map, and/or an impacted 3D object include mixed reality communications, automatic calibration, relocalization, visualizing materials, rendering 3D geometry, and the like.

A foreign object detecting system includes an apparatus of detecting foreign objects in a laundry machine and a server. The server includes an artificial intelligence model learner configured to generate a foreign object classifying engine trained with the collected noise data through an artificial neural network. the server transmits the trained foreign object classifying engine trained through the artificial intelligence model learner to the foreign object classifying apparatus, the foreign object type classifier classifies the type of foreign objects through the trained foreign object classifying engine transmitted from the server, and the communicator of the apparatus of detecting foreign objects in a laundry machine transmits information about the type of foreign objects to a foreign object appliance. According to the present disclosure, the foreign objects in the laundry machine can be detected using artificial intelligence (AI), an artificial intelligence-based foreign object type classifying technique, and a 5G network.

Reflected sonar signals arising from one or more possible unknown objects are distinguished according to a first criterion, and possible shapes each having a defined unique associated point are assigned each of the possible unknown objects. Then the three dimensional points are tracked by the sonar system.

A transducer system with transducer and circuitry for applying a pulse train at a single frequency to excite the transducer. The transducer is operable to receive an echo waveform in response to the pulse train. The system also comprises circuitry for determining a time of flight as between a first reference time associated with the pulse train and a second reference time associated with the echo waveform.

A sonar survey system and method excites reflectors using a broadband message that excites all frequencies within the band providing for selection and evaluation of frequencies of interest after the survey is completed.

Embodiments of the present disclosure relate to a self-driving system having an RFID reader and a built-in printer. In one embodiment, a self-driving system includes a mobile base having one or more motorized wheels, the mobile base having a first end and a second end opposing the first end, a console coupled in an upright position to the first end of the mobile base, and a tag reader integrated with the console, the tag reader having a sensor surface facing upwardly.