A fall detection system includes a radar that generates emitting radio waves and receives reflected radio waves from a person under detection, a data generator that generates a point cloud according to the reflected radio waves, an area determining device that determines a sub-area of a detecting area in which the person under detection lies, and a classifier that determines whether the person under detection falls according to the point cloud. The classifier adaptively processes the point cloud with different methods according to sub-areas as determined by the area determining device respectively to determine whether the person under detection falls.

To provide a precipitation particle classification apparatus for obtaining a proper classification result of precipitation particles based on information from a plurality of radar devices. The precipitation particle classification apparatus includes a data processing part, a fuzzy processing part, a coordinate conversion part, an interpolation part, and a classification part. The data processing part acquires polarization parameters obtained by reflection on the precipitation particles from each of the plurality of radar devices which are arranged at different positions and have a part of a scanning area overlapping with each other. The fuzzy processing part obtains a polar coordinate distribution evaluation value indicating the distribution in polar coordinates of an evaluation value indicating the degree of attribution to each type of precipitation particles from polarization parameters by using a fuzzy inference. The coordinate conversion part converts the polar coordinate distribution evaluation value into the Cartesian coordinate distribution evaluation value. The interpolation part integrates the Cartesian coordinate distribution evaluation values whose positions on the coordinates are substantially equal among the Cartesian coordinate distribution evaluation values obtained for each of the plurality of radar devices to obtain a composite evaluation value. The classification part classifies precipitation particle species based on the composite evaluation value.

A radar apparatus with a transmission antenna array that outputs a high aspect ratio frequency modulation continuous wave (FMCW) transmission beam that illuminates a large field of regard in elevation and may be both electronically and mechanically scanned in azimuth. The weather radar apparatus includes a receive array and receive electronics that may receive the reflected return radar signals and digitally form a plurality of receive beams that may be used to determine characteristics of the area in the field of regard. The receive beams may be used to determine reflectivity of weather systems and provide a coherent weather picture. The weather radar apparatus may simultaneously process the receive signals into monopulse beams that may be used for accurate navigation as well as collision avoidance.

A system and method for using high-end perception sensors such as high-end LIDARs to automatically label sensor data of low-end LIDARs of autonomous driving vehicles is disclosed. A perception system operating with a high-end LIDAR may process sensed data from the high-end LIDAR to detect objects and generate metadata of objects surrounding the vehicle. The confidence level of correctly identifying the objects using the high-end LIDAR may be further enhanced by fusing the data from the high-end LIDAR with data from other sensors such as cameras and radars. The method may use the detected objects and metadata of the detected objects processed from the data captured by the high-end LIDAR and other sensors as ground truth to label data of a same scene captured by a low-end LIDAR mounted on the vehicle. A neural network may use the labeled sensor data from the low-end LIDAR during offline supervised training.

In one embodiment, a method includes accessing a set of data points captured using a radar system of the vehicle. Each data point is associated with at least three measurements include a Doppler measurement, a range measurement, and an azimuth measurement in reference to the radar system. The method also includes clustering the set of data points into one or more first clusters based on a first pair of the three measurements associated with each of the data points; and clustering the set of data points into one or more second clusters based on a second pair of the three measurements associated with each of the data points. The second pair being different from the first pair of the three measurements.

An aspect of the present disclosure is directed to and provides radar-reflecting systems and apparatus that employ metasurfaces to produce enhanced radar cross sections that are greater than those produced by the geometry of the surfaces alone. Another aspect of the present disclosure is directed to and provides heat-ducting systems and apparatus that include metasurfaces. A further aspect of the present disclosure is directed to and provides cards with metasurfaces. Exemplary embodiments utilize fractal plasmonic surfaces for a metasurface.

Provided is a method of generating a squeezed quantum illumination light source, including generating a dual mode squeezed light source including a signal mode and an idler mode, obtaining a degree of additional squeezing for the dual mode squeezed light source based on object information, determining a squeezing angle and a degree of operation that satisfy the degree of additional squeezing for each of the signal mode and the idler mode, and squeezing the dual mode squeezed light source based on the squeezing angle and the degree of operation, and provided is a quantum radar device using the squeezed quantum illumination light source.

An object detection device detects objects around an own vehicle by fusing a plurality of pieces of target information obtained by detecting the objects as targets using a plurality of detection sensors with different detection accuracies, and includes a crowd determination unit that determines that a target other than a reference target detected in a predetermined crowd region based on the reference target selected from the targets is a crowd target; a region setting unit that sets a search region so as to include a crowd determination region in which the reference target and the crowd target are detected; and an object determination unit that determines an object indicated by a target in the search region by fusing the target information for the search region.

A sensor signal processing unit (100) arranged to detect a configuration of parking slots (1a,1b,1c,1d) based on radar detections received from a radar-based sensor system (120). The unit includes a histogram unit arranged to generate a representation of a spatial distribution of a set of radar detection coordinates, and a detection unit arranged to detect the configuration of parking slots. The detection unit is arranged to detect the configuration of parking slots based on a Fourier transform of the representation of spatial distribution.

A vehicle control system may include a controller that detects an object outside a vehicle, calculates an angle based on a ratio of a relative speed between the object and the vehicle to a speed of the vehicle, and updates a phase curve reflecting a phase distortion of an input signal based on the calculated angle.