A method for classifying at least one object in the surroundings of a vehicle using an ultrasonic sensor system. The method includes: emitting ultrasonic signals at a plurality of successive time points using the ultrasonic sensor system; and receiving ultrasonic echo signals reflected on the one or more objects in the surroundings of the vehicle, using the ultrasonic sensor system; wherein one or more objects in the surroundings are ascertained as a function of the received ultrasonic echo signals, and wherein it is determined as a function of the received ultrasonic echo signals whether the respective object is classified as dynamic, in particular as a pedestrian. A controller for operating an ultrasonic sensor system, an ultrasonic sensor system, and a vehicle including such an ultrasonic sensor system are also described.

A method for classifying at least one object in the surroundings of a vehicle using an ultrasonic sensor system. The method includes: emitting ultrasonic signals at a plurality of successive time points using the ultrasonic sensor system; and receiving ultrasonic echo signals reflected on the one or more objects in the surroundings of the vehicle, using the ultrasonic sensor system; wherein one or more objects in the surroundings are ascertained as a function of the received ultrasonic echo signals, and wherein it is determined as a function of the received ultrasonic echo signals whether the respective object is classified as dynamic, in particular as a pedestrian. A controller for operating an ultrasonic sensor system, an ultrasonic sensor system, and a vehicle including such an ultrasonic sensor system are also described.

An acoustic model determination approach for a real-time locating system is disclosed. The system includes one or more transmitting devices and one or more mobile devices. The acoustic model may be determined by deriving an acoustic representation of sub-structures within the building, and then forming the acoustic model based on the acoustic representation and the location and orientation of the static acoustic transmitting device. In another embodiment, an acoustic signal is transmitted from a static acoustic transmitting device, with the reflected signals received by the same static acoustic transmitting device in a receiving mode. Based on these received acoustic signals, the acoustic model is formed based on the reflected signals and the location and orientation of the static acoustic transmitting device.

A wall mounted light fixture includes a surface mount including a rear wall having a plurality of mounting openings, a top wall extending from the rear wall, and a bottom wall extending from the rear wall. The light fixture housing is connected to the surface mount and defines an interior portion. A light emitter is positioned in the interior portion of the housing. A lens is connected to the housing. A sensor assembly including a sensor housing and a sensor module is positioned at least partially in the sensor housing. The sensor assembly is operatively connected to the light emitter and the sensor housing is external to the light fixture housing.

An object detection device includes a transmitting unit that transmits a transmission wave, a receiving unit that receives a reception wave produced by the reflection of the transmission wave off an object, a CFAR processing unit that acquires a difference value between a processing target value that is the value of a processing target signal corresponding to the reception wave received at a certain detection timing, and a reference value based on a moving average value of the values of reference signal groups corresponding to the reception wave received during predetermined periods before and after the detection timing, a detection processing unit that generates information about the object, based on the difference value, and a setting unit that selects the reference value suitable for a detection distance corresponding to the detection timing from a plurality of the reference values.

A computer-implemented method for monitoring a condition of a person includes receiving, at a computerized device, at least one signal from a condition sensor and determining if a condition is an emergency condition of a user based on the at least one signal.

One illustrative integrated electromagnetic-acoustic sensor includes: a ground plane; a patch antenna above the ground plane to send or receive an electromagnetic (EM) signal having an EM signal frequency; and an array of capacitive micromachined acoustic transducers formed by cavities between the patch antenna and a base electrode to send or receive an acoustic signal having an acoustic signal frequency. One illustrative sensing method includes: driving or sensing a EM signal between a ground plane and a patch antenna; and driving or sensing an acoustic signal between the patch antenna and a base electrode, the base electrode and the patch antenna having an array of capacitive micromachined acoustic transducer cavities therebetween.

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.

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.

A detection device includes: a first correlation circuit that computes correlation of a first wave detection signal, which is a phase-modulated input wave detected at determined frequency, with a determined code sequence for every code composing the determined code sequence, and to generate first correlation signals the number of which corresponds to a code sequence length, which is a length of the determined code sequence; and a control circuit that rotates phases of the first correlation signals, generates an added value by adding the phase-rotated first correlation signals, and determines based on the added value whether the phase-modulated input wave is a return wave from a determined object.