A radar sensor is mounted in the area of a parking space for a motor vehicle in such a way that if a motor vehicle is present in the parking space, signals that are emitted by the radar sensor are reflected back from the motor vehicle. A method for determining an occupancy state of the parking space includes the steps of emitting radar signals; receiving reflected radar signals; and determining whether a motor vehicle is present in the parking space, based on the reflected radar signals. The determination is based on noise components of the reflected radar signals.

The present disclosure relates to a cargo protection method, device and system, and a non-transitory computer-readable storage medium, relating to the technical field of unmanned aerial vehicles. The method of the present disclosure includes: determining whether an unmanned aerial vehicle is in a falling state or not according to a current acceleration in a vertical direction of the unmanned aerial vehicle and a current vertical distance from the unmanned aerial vehicle to the ground; and opening at least one airbag in a cargo hold of the unmanned aerial vehicle in a case where the unmanned aerial vehicle is in the falling state to protect a cargo in the cargo hold.

Provided is an object shape detection apparatus that can detect the shape of a raised or depressed portion on the surface of an object. In accordance with a comparison result obtained by a reflection intensity comparator with regard to intensity of a horizontally polarized wave component and a vertically polarized wave component of a reflected wave, the object shape determiner detects the shape of the raised portion and the shape of the depressed portion of a detection target object. The object locator detects the position of the raised portion and the position of the depressed portion of the detection target object by measuring the distance to the raised portion and the distance to the depressed portion of the detection target object detected by the object shape determiner.

A method of recognizing consecutive objects on a conveying path in a detection zone arranged on the conveying path comprises the following steps: generating an electromagnetic radio frequency field radiating into the detection zone by means of a radio frequency sensor; measuring a time curve of a dielectric conductivity in the detection zone by means of the radio frequency field of the radio frequency sensor; and determining contour information of the consecutive objects from the time curve of the dielectric conductivity.

Complex transfer functions indicating characteristics of propagation between transmission antenna elements and N reception antenna elements are calculated from reception signals received by the N reception antenna elements during a predetermined period. Components affected by vital activity are extracted from the calculated complex transfer functions. A correlation matrix is calculated from changed components affected by vital activity. A steering vector for regions divided from a target region is calculated. A living-body signal intensity vector is estimated by performing compressed sensing for an unknown value that is the living-body signal intensity vector using a correlation matrix vector and an extended steering vector. The number of components constituting the living-body signal intensity vector and having a value of at least a predetermined threshold is estimated to be the number of living bodies, and positions of regions corresponding to the components are estimated to be estimated positions of the living bodies.

The method includes a step of forming, with a radar, a number N of beams of equal angular width that irradiate a runway and a portion of the surroundings of the runway; a step of dividing the zone irradiated by the beams into distance-angle boxes, the beams delineating the boxes anglewise; a step of taking measurements of backscattered power received from distance-angle boxes, the measurements being carried out for a set of pairs of boxes, a pair being composed of two boxes of same distance one of which, called the right box, crosses the right edge (3D) of the runway, and the other of which, called the left box, crosses the left edge (3G); a step of computing, for each pair, the difference in backscattered power between the right box and the left box, the aircraft being aligned with the axis when the difference is zero for at least two pairs of distance-angle boxes.

An amplitude-phase correction method and system for a microwave imaging system are provided. The method comprises: carrying out data processing, in a range direction, on an echo signal reflected from a target object and acquired by a linear array antenna according to a first pre-set algorithm to obtain a compressed signal in the range direction; extracting a range value corresponding to the maximum amplitude, in the range direction, of the compressed signal in the range direction; carrying out time delay compensation on the echo signal according to the range value to obtain a time-delay-compensated signal; carrying out data processing on the time-delay-compensated signal according to a second pre-set algorithm to obtain an amplitude-phase signal; and carrying out amplitude-phase correction on the echo signal according to the time-delay-compensated signal and the amplitude-phase signal to obtain a corrected echo signal.

Detection of a radar target from a received radar signal includes computing a vector of filter weights dependent upon a steering vector and determining a threshold value dependent upon a designated probability of false alarm. The vector of filter weights is applied to samples of the received radar signal at a test cell, corresponding to a test range, to provide a filtered test signal and a test power of the filtered test signal is computed. The weights are also applied to samples of the received radar signal at a number of reference cells, to produce filtered reference signals. A reference power is computed from the filtered reference signals and the radar target is detected at the test range when a ratio of the test power to the reference power exceeds the threshold value.

Methods and systems for classification of remote objects from within a host vehicle. In some implementations, the method may comprise using a RADAR sensor within a host vehicle to obtain data of a first property of a remote object. The data may then be filtered to obtain a subset of data, such as a predetermined number of data points comprising extrema data points in the data set. A statistical analysis may be performed using the subset of data and the remote object may be classified as one of a plurality of distinct object types using the results of the statistical analysis.

An architecture is provided for cooperative target tracking and signal propagation learning using mobile sensors. A method can comprise as a function of sensing data representative of a location of a target device at a first defined moment and model data relating to a motion model representing a probability density function, determining, by a system comprising a processor, a group of locations for the target device at a second defined time point, wherein the probability density function facilitates determining, based on the location of the target device at the first defined moment, a current location of the target device at a third defined moment; and as a function of the group of locations, generating, by the system, a data structure representing a matrix of received signal strength values; and identifying, by the system, a location of the group of locations for the target device at the third defined moment based on the data structure.