An electronic device for determining a distance of a drone from an obstacle, the electronic device comprising: an emission module to command the emission of an ultrasound signal toward the obstacle; a reception module to receive a signal representative of an ultrasound signal reflected by the obstacle; a calculation module to calculate the distance of the drone from the obstacle, from the received signal; and a filtering module comprising at least one filter matched to a respective Doppler offset, each matched filter generating a respective filtered signal as a function of a convolution product of the emitted ultrasound signal, to which the respective Doppler offset is applied, with the received ultrasound signal;
the calculation module then calculating the distance of the drone from the obstacle, from the filtered signal(s) from the filtering module.

Disclosed is an apparatus and method for detecting presence of persons or objects within an environment. The apparatus and method may determine a difference in relative position between transmitters having an unknown room position. A transmitter may emit coded signals that may be detected by other transmitters within the room and properties of the coded signal can form a baseline for comparison to new signals after the baseline is established. Through the use of coded signals and relative distance location between transmitters, movement and position of persons or objects within the room may be determined.

A method for operating a surroundings-detection system of a vehicle includes at least one transceiver unit emitting a frequency-modulated signal and receiving echo signals of the emitted frequency-modulated signal. The received echo signals are associated with reflection sources, and a piece of information about the speed of the reflection source relative to the transceiver unit is ascertained on the basis of the received echo signals.

A method for operating a surroundings-detection system of a vehicle includes at least one transceiver unit emitting a frequency-modulated signal and receiving echo signals of the emitted frequency-modulated signal. The received echo signals are associated with reflection sources, and a piece of information about the speed of the reflection source relative to the transceiver unit is ascertained on the basis of the received echo signals.

A method is described for spatial modelling of an interior of a vehicle. The method includes transmitting a wireless signal, from each of multiple transmitters, each transmitter having a known location in the vehicle, receiving, by multiple receivers, multiple reflection signals having been reflected in the interior of the vehicle, each receiver having a known location in the vehicle. The method also includes, for the received reflection signals, determining a source data set by determining multipath propagation components, Doppler shifts, phase shifts and time differences of the received reflection signals, and determining a spatial model of at least a portion of the vehicle interior by applying a computer vision algorithm on the source data set. A system is also described for performing the method.

Systems and methods are provided to adjust an acquisition frame rate of a mobile ultrasound imaging system. The systems and methods receive ultrasound data representing image data sets of an anatomical structure of interest. The anatomical structure of interest includes at least one anatomical marker. The systems and methods further determine a rate of change in position of the at least one anatomical marker between adjacent image data sets, calculate an acquisition frame rate based on the rate of change in position of the at least one anatomical marker, and acquire first and second image data sets at the acquisition frame rate.

Circuitry comprising excitation circuitry for supplying a transducer with an excitation signal to generate a detection signal and current monitor circuitry for monitoring current through the transducer.

The present disclosure relates to a moving object detection device using an ultrasonic sensor, a method thereof, and a warning system using the same. The moving object detection device includes: an ultrasonic sensor configured to receive a plurality of reflected signals per period; and a detector configured to divide a sensing distance of the ultrasonic sensor into a plurality of regions, detect a region of the plurality of regions as a region of interest (ROI) when an intensity of a reflected signal of the plurality of reflected signals exceeds a predetermined threshold in a region of the plurality of regions, and detect a moving object based on changes in the ROI.

Studies have shown that using smartphones while walking increases the probability of pedestrians colliding with obstacles. Techniques are presented for providing real-time warnings to distracted users of smartphones. The techniques are implemented by an application which makes use of sensors commonly found in most smartphone. By estimating distances to nearby objects using acoustic signals, a generalized solution is achieved without requiring any prior knowledge of the user's environment. The process can be enhanced by using images acquired from the phone's rear camera.

A method for detecting a moving object in a scene includes providing sampled ultrasonic echo signals from the scene; determining echo envelopes of the sampled ultrasonic echo signals; determining differentials of successive echo envelopes for providing echo envelope differentials; determining the absolute values of the echo envelope differentials; and conducting a classification based on the determined absolute values of the echo envelope differentials for determining a relative movement of the moving object.