The present disclosure discloses a microwave identification method, which is implemented on at least one device, including at least one processor and at least one storage device, the method including: the at least one processor obtains microwave data; the at least one processor generates an image of one or more objects based on the microwave data; the at least one processor obtains a model of each of the one or more objects; and based on the model of each of the one or more objects, the at least one processor identifies the one or more objects in the image of the one or more objects.

An axis deviation angle estimation device estimates a vertical axis deviation angle of a radar device based on roadside object information including information on a plurality of reflection points on a roadside object and road surface information including information on a plurality of reflection points on a road surface. The vertical axis deviation angle is an angle of deviation of an actual mounting direction from a reference mounting direction in a vertical direction. The actual mounting direction is an actual direction of the radar device, and the reference mounting direction is a direction of the radar device when the radar device is mounted in a reference state.

A handling device (103) for loads (105) includes a radar transmitter (107), a radar sensor (111) and a data-processing device. The radar transmitter (107) is configured to irradiate at least part of the handling device (103) and/or the load (105). The radar sensor (111) is configured to detect at least part of the irradiated handling device (103) and/or the irradiated load (105). The data-processing device is configured to determine the position of at least part of the handling device (103) and/or the load 105) with reference to a signal from the radar sensor (111). At least a part (405) of the handling device (103) is radar-absorbing.

The present disclosure relates to an apparatus (100) for passive scanning of an object. The apparatus comprises a distance sensing unit (110) adapted to measure distances to a plurality of points of the object, an orientation sensing unit (120) adapted to determine orientations of the distance sensing unit (110), and a processor (140) adapted to derive information about the object or a scene in which the object is used based on the measured distances and orientations of the distance sensing unit (110).

The computer-implemented method includes simulating, by a processor, using an electromagnetic solver including ray launching or ray tracing, multiple rays that reach a vicinity of a receiver of a wireless channel, determining locations of interactions of the rays with an environment of the wireless channel, post-processing, using one or more of the multiple rays, information about received signal at the receiver to obtain temporal variations therein, and determining a characteristic of the wireless channel using results of the post-processing.

Systems and methods for detection and reporting of small targets to an operational area. Exemplary embodiments are presented to detect targets such as avian species, UAS, UAV, and drones, and transmit unique small target identifier information via data link, such as ADS-B, to an operational area.

An occupant detection device includes: a radio wave sensor located above a seat surface of a seat that is disposed in a vehicle cabin of a vehicle, in a vertical direction of the vehicle, and including a transmission unit configured to transmit a transmission wave to the vehicle cabin and a reception unit configured to receive a reflected wave generated by the transmission wave being reflected by an occupant on the seat; a creation unit configured to create, based on the reflected wave, three-dimensional map information in the vehicle cabin in which a position of a reflection point of the reflected wave is represented by three-dimensional coordinates; and a calculation unit configured to calculate, based on the three-dimensional map information, backbone information that is information on a backbone of the occupant on the seat.

A vehicle, hitch, and articulating trailer include vehicle to vehicle and infrastructure communications and vehicle computing systems, which have a controller coupled to and/or including one or more of a dynamics measurement unit, a transceiver, and a position sensor, among other components. The controller(s) are configured to, in response to detecting positions of trailer corners from the position sensor, generate vehicle and trailer relative orientation and navigation data including location, velocity, and orientation, utilizing vehicle and trailer electronic polyhedrons articulating about a hitch point and representing the combination vehicle and trailer predicted path and envelopes. In response to detected trailer movement relative to the hitch point, the generated articulated polyhedrons are generated with the navigation data, which includes the location, speed, and orientation, which are in turn communicated to nearby vehicles and roadway infrastructure. Initial trailer vertices may be generated with wireless and mobile devices to generate the trailer polyhedron.

The invention relates to a method for operating a distance sensor (4) of a vehicle (1), in which method a plurality of successive measurement cycles are carried out in an operating mode, wherein, in each measurement cycle, a transmission signal is transmitted, a reception signal (Rx1 to Rx8) is determined on the basis of the transmission signal reflected in a surrounding region (9) of the vehicle (1), the object (8) is classified, and the transmission signal is selected from a plurality of predefined transmission signals in accordance with how the object (8) is classified, wherein the transmission signal is selected in accordance with an assignment rule determined in a learning mode, said assignment rule describing an assignment of the plurality of predefined transmission signals to classes of objects (8), wherein, in each measurement cycle, the object (8) is classified on the basis of the reception signal (Rx1 to Rx8) and the transmission signal is selected in accordance with how the object (8) is classified for subsequent measurement cycles.

Aspects of the disclosure are directed to apparatuses, systems and methods for radar processing. As may be implemented in accordance with one or more aspects herein, an apparatus may include receiver circuitry to receive and sample radar signals reflected from a target, and processing circuitry to carry out the following. Representations of the reflections are transformed into the time-frequency domain where they are oversampled. The oversampled representations of the reflections are inversely transformed to provide resampled reflections. Positional characteristics of the target may then be ascertained by constructing a range response characterizing the target based on the resampled reflections.