An apparatus comprising circuitry configured to transfer motion information obtained from a plurality of sensors of different or similar type to a common representation.

The ball game camera speed measuring machine of the present invention comprises a PCB board, a speed measuring unit, a camera unit, a memory card, a display panel, a loudspeaker, a power source, an start/stop signal receiving unit configured to receive a start/stop signal, and a communication transmission unit configured to transmit a video signal and a speed signal. The PCB board is connected with the start/stop signal receiving unit, the speed measuring unit, the camera unit, the memory card, the display panel, the loudspeaker and the communication transmission unit respectively. The power source supplies power to the loudspeaker, the PCB board, the speed measuring unit and the camera unit. The camera speed measuring machine simultaneously displays in real time a ball speed on a dynamic video.

Disclosed herein are an apparatus and method for extracting ocean wave information. The apparatus for extracting ocean wave information includes a radar image reception unit for receiving a radar image from a radar antenna, a digital conversion unit for converting the received radar image into a digital format, an analysis preparation unit for setting analysis sections of the radar image and performing temporal accumulation on the analysis sections, a three-dimensional (3D) spectrum-conversion unit for converting accumulated analysis sections into a 3D spectrum in a 3D frequency domain by performing a temporal/spatial 3D Fast Fourier Transform (FFT) on the accumulated analysis sections, and an ocean wave information extraction unit for extracting ocean wave information based on the 3D spectrum.

The present disclosure relates to a computer-implemented method for determining a radial velocity of an object in a surrounding of a vehicle, the method comprising the steps of: obtaining measurement data from a radar, the measurement data comprising signal data indicative of a measured radial velocity of the object, mapping the measured radial velocity of the object to a plurality of radial velocity intervals, determining, using an artificial intelligence (AI) engine, a probability value for each interval of the plurality of radial velocity intervals based on supplemental measurement data, and determining the radial velocity of the object by selecting an interval of the plurality of radial velocity intervals based on the probability value. The disclosure further relates to a corresponding apparatus, computer program and vehicle.

The present invention relates to a human body detection sensor using a Doppler radar, comprising: a Doppler radar unit transmitting a Doppler radar signal and receiving the transmitted Doppler radar signal so as to output a signal processing result corresponding to a frequency difference between both signals; a filtering and amplifying unit for filtering out, from the signal outputted by the Doppler radar unit, a frequency band preset so as to correspond to a vibration generated by the internal bioactivity of a human body, and for amplifying the filtered signal; and a determination and control unit for determining whether a human body is detected by analyzing the signal outputted by the filtering and amplifying unit, and for outputting the determined result signal when the human body is detected.

In an embodiment, a method for processing an image is provided. The method receives an image including a plurality of pixels. Each pixel includes radial velocity information. The method categorizes the plurality of pixels of the image into a plurality of groups of pixels based on radial velocity information of the pixels. The method associates at least one of the groups of pixels with an object.

A method and system for estimating velocity of an aircraft is provided. The method comprises transmitting a beam toward a surface from the aircraft using a Doppler beam sharpened radar altimeter, receiving a plurality of reflected signals that correspond to portions of the transmitted beam that are reflected by the surface, and forming a plurality of Doppler beams by filtering the received signals. A complex-valued array of range bin is computed with respect to frequency of the Doppler beams from at least one antenna aperture of the radar altimeter, and a range for each of the Doppler beams is estimated. A velocity vector magnitude for the aircraft is estimated by a curve fit of the range with respect to the frequency of the Doppler beams.

Systems and methods for measuring velocity with a radar altimeter are provided. In at least one embodiment a method for measuring velocity magnitude of a platform in relation to a surface comprises transmitting a radar beam, wherein the radar beam is aimed toward a surface; receiving a plurality of reflected signals, wherein the plurality of reflected signals correspond to portions of the transmitted radar beam that are reflected by a plurality of portions of the surface; and applying Doppler filtering to the plurality of signals to form at least one Doppler beam. The method also comprises identifying range measurements within each Doppler beam in the at least one Doppler beam; and calculating the velocity magnitude based on the range measurements of the at least one Doppler beam.

A method and system for estimating velocity of an aircraft is provided. The method comprises transmitting a beam toward a surface from the aircraft using a Doppler beam sharpened radar altimeter, receiving a plurality of reflected signals that correspond to portions of the transmitted beam that are reflected by the surface, and forming a plurality of Doppler beams by filtering the received signals. A complex-valued array of range bin is computed with respect to frequency of the Doppler beams from at least one antenna aperture of the radar altimeter, and a range for each of the Doppler beams is estimated. A velocity vector magnitude for the aircraft is estimated by a curve fit of the range with respect to the frequency of the Doppler beams.

The ball game camera speed measuring machine of the present invention comprises a PCB board, a speed measuring unit, a camera unit, a memory card, a display panel, a loudspeaker, a power source, an start/stop signal receiving unit configured to receive a start/stop signal, and a communication transmission unit configured to transmit a video signal and a speed signal. The PCB board is connected with the start/stop signal receiving unit, the speed measuring unit, the camera unit, the memory card, the display panel, the loudspeaker and the communication transmission unit respectively. The power source supplies power to the loudspeaker, the PCB board, the speed measuring unit and the camera unit. The camera speed measuring machine simultaneously displays in real time a ball speed on a dynamic video.