A self-moving device capable of automatically recognizing an object in front is provided. The self-moving device includes a signal transmission module, a gradient determination module, and a control module. The signal transmission module transmits recognition signals propagated along at least two different paths. The gradient determination module obtains, according to the recognition signals, a first determination result indicating whether an object in front is a slope. The control module controls a traveling path of the self-moving device according to the first determination result.

The present disclosure describes a system, device, and method for assisting a user to avoid contacting surfaces with their mobile device. An environment is sensed with one or more electronic sensors. The sensor readings are analyzed. Information is then provided to a user based on the analyzed sensor readings. The sensors may be configured so their sensor cones cross at a midpoint. Readings from the sensor(s) may be grouped according detection zone(s) corresponding to one or more areas about a mobile device. A computing module may control a feedback module according to detection zone readings. The feedback module may comprise an indicator for each detection zone. The indicator may be a vibration motor. The indicator may be a light. The computing module may set the colour of a light and/or control the vibrations based on the proximity of surfaces detected within the corresponding detection zone.

A method for coherent stereo radar tracking includes, at a stereo radar system, transmitting a probe signal, receiving a reflected probe signal in response to reflection of the probe signal by a tracking target, calculating first and second target ranges from the reflected probe signal data, transforming the reflected probe signal data based on the first and second target ranges, and calculating a first target angle from the transformed reflected probe signal data.

In one form, an acoustic signal is generated for an acoustic transducer, where the acoustic transducer is susceptible to reverberation that defines a close proximity indication zone. The start of a close proximity indication zone window is defined after the generation of the acoustic signal at a first time. During the close proximity indication zone window, a signal is received from the acoustic transducer. When the signal is received, an obstacle is detected in the close proximity indication zone if the magnitude of a first pulse received from the transducer at a second time is less than a first threshold but greater than a second threshold for a debounce time. Additionally, a magnitude of a second pulse received from the transducer outside the close proximity indication zone window at a third time should be less than the second threshold but greater than a third threshold for the debounce time. In this form, the third time is equal to the first time plus two times the difference between the second time and the first time.

A diver navigation, information and safety buoy system and method. The system and method incorporate a float device, and an ultra-short baseline acoustic array in communication with a diver transponder. The system and method also include a GPS system having a GPS antenna device mounted on the float device. The system also includes an AIS system having an AIS antenna mounted on the float. A diver processor permits a diver's location information to be calculated, and the diver can be navigated to a desired destination.

Various implementations described herein are directed to a transducer array. The transducer array may include a first receiver having a first aperture width. The transducer array may include a second receiver having a second aperture width that is substantially equal to the first aperture width. The transducer array may also include a transceiver having a third aperture width that is larger than the first aperture width and the second aperture width.

The invention relates to a method for detecting target echoes (11) in a reception signal (ES) of an ultrasonic sensor of a motor vehicle by providing a reference signal (RS) for decoding the reception signal (ES), wherein with respect to a multiplicity of predetermined frequency shift values in each case a correlation input signal (RS) is provided by shifting the reference signal (RS) in terms of its frequency by the respective frequency shift value; correlating the reception signal (ES) separately with each of the correlation input signals (RS) and thereby providing respective correlation output signals (KS1 to KS7), as the result of the respective correlation; and by providing a summation signal (SS) as the sum of the correlation output signals (KS1 to KS7), wherein on the basis of the summation signal (SS) one of the correlation output signals (KS1 to KS7) is selected and detecting the target echoes (11) is carried out by evaluating the selected correlation output signal (KS1 to KS7).

A method for ascertaining a three-dimensional position of a reflection point of an object in the environment of a vehicle using an ultrasonic sensor having at least three sensor elements. At least two sensor elements are arranged at a horizontal offset to one another and at least two sensor elements are arranged at a vertical offset to one another. The method includes: transmitting at least two ultrasonic signals using at least one of the sensor elements of the ultrasonic sensor, wherein the two ultrasonic signals are transmitted chronologically one after the other, and the two ultrasonic signals are transmitted in different spatial directions and/or with respectively differently shaped sonic cones and/or with respectively different ultrasonic frequencies; sensing the transmitted ultrasonic signals, each reflected on an object, as reflection signals using the at least three ultrasonic sensor elements; and ascertaining the three-dimensional position of a reflection point of the object.

A method for transmitting data from an ultrasonic sensor to a computer system includes forming a feature vector signal from an electric reception signal; recognizing signal objects in the reception signal and classifying the signal objects according to predetermined signal object classes. The signal objects are forms or sequences of forms. At least one object parameter allocated to the signal object and one symbol for the signal object class are allocated to each signal object, or for each signal object, at least one signal object parameter and a symbol object are determined. The method further includes transmitting the symbol and the at least one signal object parameter to the computer system as data of a recognized signal object. One of the forms in the signal object belonging to the signal object class includes a peak, and one of the transmitted signal object parameters is an amplitude of the peak.

The invention relates to a method for operating a driver assistance system (110). The method has the steps of: a) receiving (S1) a drive state sensor signal (SIG0(t)), which indicates the drive state, at a number of different points in time (t0-t5), b) receiving (S2) a number of sensor signals (SIG1(t)), which indicate the surroundings (200), at a number of different points in time (t0-t5), c) detecting (S3) a number of objects (210, 211) in the surroundings (200) on the basis of a first number of sensor signals (SIG1(t)), which have been detected at a first point in time, d) ascertaining (S4) a position (POS) and a movement vector (VEC) for a detected object (210, 211) on the basis of the first number of sensor signals (SIG1 (t)) and a second number of sensor signals (SIG1(t)), which have been received at a second point in time following the first point in time, using a plurality of different ascertaining methods (V1, V2), wherein different ascertaining methods (V1, V2) of the plurality have a different degree of computing complexity, and e) outputting (S5) a warning signal if a potential collision with the detected object (210, 211) is ascertained on the basis of the drive state sensor signal (SIG0(t)) received at a specified point in time and the position (POS) and the movement vector (VEC) ascertained for the detected object (210, 211).