A robotic cleaning appliance includes a housing, surface treatment item, surface type detection sensor, and processor. The sensor emits sonic signals toward a surface being traversed and receives corresponding returned signals from the surface. The returned signals are used for surface type detection and include directly reflected primary returned signals and multi-path reflected secondary returned signals which return at a later time than the primary returned signals. The processor selects a window of time after transmission of a sonic signal such that the returned signals in the window comprise at least a portion of the secondary returned signals, wherein the window is related to round trip time-of-flight of the returned signals; processes the returned signals falling in the window to achieve a reflectivity metric; compares the reflectivity metric to a stored value; and based on the comparison, determines which surface type of a plurality of surface types has been detected.

A multi-function sensor system comprises a camera and a sonar device to enable various measurements to be achieved in a single unit, or as multiple co-located units, thus reducing the cost of having such multiple functions. The camera and sonar device may be calibrated individually and as a system to provide an accurate and correlated set of optical and acoustic data.

A concept of characterizing an object based on measurement samples from one or more location sensors, the measurement samples having a first spatial resolution. The measurement samples are quantized to a grid map of weighted cells having a second spatial resolution lower than the first spatial resolution, wherein a measurement sample contributes to a weight coefficient of one or more weighted cells depending on a measurement accuracy. Parameters of one or more lines fitting the weighted cells are computed to obtain a characterization of the object.

A rear side warning system for a vehicle includes at least one processor configured to: sense an external obstacle of the vehicle; classify the external obstacle as either one of a fixed object and a moving object; and control a rear side warning signal of the vehicle based on a result of the classifying of the external obstacle.

A drive support device includes: an acquisition processing unit that acquires (i) a distance to an object detected based on a result of transmission of a transmission wave and reception of a reception wave that is the transmission wave having returned upon reflection by the object and (ii) a reception level of the reception wave used to detect the distance; and a detection processing unit that detects information about a height of the object, based on a relationship between the distance and the reception level that are acquired by the acquisition processing unit.

An underwater information display device, which transmits an ultrasonic wave, receives an echo reflected by an underwater target, and displays the echo, includes: a transmission signal generation part that forms a transmission signal sequence in which at least two temporally adjacent transmission signals are converted so as to be identifiable at the time of reception and have different intervals; a transmission part that emits a transmission signal as an ultrasonic wave into water; a reception part that receives an echo and outputs a reception signal; a storage part that stores multiple reception signals corresponding to temporally continuous transmission signals; an interpolation part to which reception signals stored in the storage part are supplied and which replaces a ghost component included in the reception signals with an echo of another temporally nearby transmission signal; and a display part that draws reception signals including a signal interpolated by the interpolation part.

An underwater information display device, which transmits an ultrasonic wave, receives an echo reflected by an underwater target, and displays the echo, includes: a transmission signal generation part that forms a transmission signal sequence in which at least two temporally adjacent transmission signals are converted so as to be identifiable at the time of reception and have different intervals; a transmission part that emits a transmission signal as an ultrasonic wave into water; a reception part that receives an echo and outputs a reception signal; a storage part that stores multiple reception signals corresponding to temporally continuous transmission signals; an interpolation part to which reception signals stored in the storage part are supplied and which replaces a ghost component included in the reception signals with an echo of another temporally nearby transmission signal; and a display part that draws reception signals including a signal interpolated by the interpolation part.

The present disclosure provides a system and method for removing noise from an ultrasonic signal using a generative adversarial network (GAN). The present disclosure provides three input formats for the neural network (NN) in order to feed one-dimensional (1D) input data to the network. The system is generalizable to multiple noise sources, as it learns from different motion functions and noise types. The end-to-end system of the present disclosure is trained on raw ultrasonic signals with very little pre-processing or feature extraction.

The present disclosure provides a system and method for removing noise from an ultrasonic signal using a generative adversarial network (GAN). The present disclosure provides three input formats for the neural network (NN) in order to feed one-dimensional (1D) input data to the network. The system is generalizable to multiple noise sources, as it learns from different motion functions and noise types. The end-to-end system of the present disclosure is trained on raw ultrasonic signals with very little pre-processing or feature extraction.

Systems, apparatuses, and methods for evaluation of fluid quality are provided. The system includes a vessel containing a quantity of fluid. At least one sensor is positioned to emit at least one signal into the quantity of fluid. A temperature sensor is configured to sense a temperature of the quantity of fluid. A computerized device is in communication with the at least one sensor and the temperature sensor. The processor of the computerized device calculates at least a fluid identity of the quantity of fluid and determines a quality of the quantity of fluid based on the at least one signal from the at least one sensor and the sensed temperature of the quantity of fluid. The system may have a particular benefit in evaluating dielectric fluid degradation used in liquid cooled centers and other settings.