Disclosed are systems that include a controller circuit in communication with a ranging sensor configured to detect objects proximate to a host vehicle. In an aspect, the controller circuit is configured to perform a first detection count of the detected objects, determine a first group of objects of the detected objects, determine a first distance to the first group of objects, utilize the first distance to determine a trailer distance between the host vehicle and a front of a trailer, determine a second group of objects of the detected objects, determine a second distance to the second group of objects, utilize the second distance to determine an axle distance between the front of the trailer and a trailer axle, and determine a trailer length based on the trailer distance and the axle distance. Methods are also disclosed.

Disclosed is a method for determining a dimension of a ship, the method being implemented by an electronic system with a radar device having two receiving channels. The method includes: acquiring, for each of the two receiving channels of the radar device, a synthetic aperture radar image imaging the ship in an environment; the sum of the respective amplitudes of the pixels of the two radar images to obtain a sum image; extracting pixels from the sum image imaging the ship to obtain a mask of the ship; determining a range of phase differences between the radar signals received by each of the two receiving channels; and determining a dimension of the ship as a function of the mask of the ship and the determined phase difference range.

In one aspect, a system for obtaining dielectric properties of an object is disclosed, which comprises a plurality of transceivers for generating radiation in the microwave or millimeter-wave region of the electromagnetic spectrum. The transceivers are positioned in spatially fixed relationships relative to one another. The system further includes a controller for selectively activating the transceivers for irradiating at least a portion of the object and detecting at least a portion of the radiation reflected from said portion of the object in response to the irradiation, where each of the activated transceivers generates a signal in response to detection of the reflected radiation. The reflected signals are analyzed to determine a plurality of reflectivity coefficients corresponding to different discrete locations of the object, and the reflectivity coefficients are used to determine the complex permittivity of the discrete locations.

Antennas oriented at a first orientation toward an area of interest can transform radar signals through a first transformation that physically maps the plurality of radar signals with a plurality of unique beam angles corresponding to a plurality of unique frequencies. Antennas oriented at a second orientation toward the area of interest can transform radar signals through a second transformation completing the first transformation. A frequency scan can be performed on a first plurality of responses to first radar signals to identify first spatial data along a first dimension. Second spatial data at second spatial location along a second dimension can be created from a second plurality of responses corresponding to the second transformation. An image can be generated using the first spatial data and the second spatial data while a range value of the area of interest can be determined using the first plurality of responses.

An estimation method is provided which includes: calculating a plurality of complex transfer functions, based on reception signals respectively received by N reception antenna elements during a predetermined period, the complex transfer functions each representing propagation characteristics between a transmission antenna element and the N reception antenna elements; extracting a variation component corresponding to each of the N reception antenna elements, from the calculated complex transfer functions, the variation component being caused by a living body; calculating a correlation matrix based on the variation component corresponding to each of the N reception antenna elements; calculating eigenvalues of the correlation matrix calculated in the calculating of the correlation matrix; and estimating the number of living bodies in a predetermined method, using the eigenvalues calculated in the calculating of the eigenvalues.

Aspects relate to techniques for communication between wireless communication devices using ranging channel information obtained by each of the wireless communication devices. For example, a first wireless communication device may obtain first monostatic ranging channel information based on reflected ranging signals received in response to transmission of a ranging signal. In addition, the first wireless communication device may receive ranging feedback information from a second wireless communication device associated with second monostatic ranging channel information obtained by the second wireless communication device. The first wireless communication device may then determine bistatic channel information from the first monostatic ranging channel information and the ranging feedback information and transmit a message to the second wireless communication device based on the bistatic channel information.

A communication device according to the present invention comprising: a transmission unit that transmits request information requesting sensing of a target; a reception unit that receives result information indicating a sensing result, from a first communication device that has sensed the target according to the request information; and a control unit that determines a state of the target on the basis of the sensing result indicated in the result information and a sensing result of the target that has been sensed by the communicate on device.

In a point cloud of a 4-dimensional radar signal, Doppler information of each point is encoded with color information of that point. A 3-dimensional color point cloud is processed to recognize a shape of a target. A one-dimensional array feature vector generated by integration of feature maps extracted by processing 2-dimensional multi-view color point clouds with a convolution neural network (CNN) is processed by a recurrent neural network (RNN) to recognize the shape.

Machine learning network trained to tune settings and optimize images. In accordance with one aspect, a method is provided for image optimization with a medical ultrasound scanner. A medical ultrasound scanner images a patient using first settings. A first image from the imaging using the first settings and patient information for the patient are input to a machine-learned network. The machine-learned network outputs second settings in response to the inputting of the first image and the patient information. The medical ultrasound scanner re-images the patient using the second settings. A second image from the re-imaging is displayed.

To perform high-speed recognition processing of an image signal acquired by imaging.

A recognition processing system of the present disclosure includes: a first sensor device that acquires an image signal by imaging; a second sensor device that performs an object detection process, a selection unit that selects one of a plurality of recognition processes based on information on the object detected by the detection process; and a recognition processing unit that executes the recognition process selected by the selection unit based on the image signal.