Sensors, including radar sensors, may be used to detect objects in an environment. In an example, a vehicle may include one or more radar sensors that sense objects around the vehicle, e.g., so the vehicle can navigate relative to the objects. A plurality of radar points from one or more radar scans are associated with a sensed object and a representation of the sensed object is determined from the plurality of radar points. The representation may be compared to track information of previously-identified, tracked objects. Based on the comparison, the sensed object may be associated with one of the tracked objects, and, alternatively, the track information may be updated based on the representation. Conversely, the comparison may indicate that the sensed object is not associated with any of the tracked objects. In this instance, the representation may be used to generate a new track, e.g., for the newly-sensed object.

Sensors, including radar sensors, may be used to detect objects in an environment. In an example, a vehicle may include one or more radar sensors that sense objects around the vehicle, e.g., so the vehicle can navigate relative to the objects. A plurality of radar points from one or more radar scans are associated with a sensed object and a representation of the sensed object is determined from the plurality of radar points. The representation may be compared to track information of previously-identified, tracked objects. Based on the comparison, the sensed object may be associated with one of the tracked objects, and, alternatively, the track information may be updated based on the representation. Conversely, the comparison may indicate that the sensed object is not associated with any of the tracked objects. In this instance, the representation may be used to generate a new track, e.g., for the newly-sensed object.

Disclosed is a method and apparatus for measuring a distance to a target object by using a radar signal in an environment where an obstacle is present. The disclosed method of measuring a distance by using a radar includes: receiving a radar signal reflected from a target object by passing through a target obstacle; estimating material of the target obstacle by using an obstacle material learning result which uses a waveform of a reference radar signal, and by using a waveform of the reflected radar signal; estimating a thickness of the target obstacle by using an obstacle thickness learning result which uses a frequency feature of the reference radar signal, and by using a frequency feature of the reflected radar signal; and calculating a distance to the target object by using a permittivity according to the material of the target obstacle, and the thickness of the target obstacle.

This document describes techniques and systems for radar-based gesture-recognition with context-sensitive gating and other context-sensitive controls. Sensor data from a proximity sensor and/or a movement sensor produces a context of a user equipment. The techniques and systems enable the user equipment to recognize contexts when a radar system can be unreliable and should not be used for gesture-recognition, enabling the user equipment to automatically disable or “gate” the output from the radar system according to context. The user equipment prevents the radar system from transitioning to a high-power state to perform gesture-recognition in contexts where radar data detected by the radar system is likely due to unintentional input. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.

A system (1) is configured to cause a first set of one or more radio frequency signals to be transmitted with a first transmission characteristic and/or a first reception characteristic, e.g. by lighting devices (31-37), detect whether changes in said first set of radio frequency signals are caused by a human (49) presence, detect whether the changes in the first set of radio frequency signals have a further cause, and cause a second set of one or more radio frequency signals to be transmitted with a second transmission characteristic and/or received with a second reception characteristic upon detecting that the changes in the first set of radio frequency signals have a further cause. The system is further configured to identify the further cause based on changes in the second set of radio frequency signals and provide output comprising the further cause or in dependence on the further cause.

The invention is related to a pair-assignment device (100) comprising a sensing-node position ascertainment unit (102) configured to ascertain position information (P.I.) pertaining to respective positions of external RF-sensing nodes (104,106) with respect to a predefined sensing volume (108) of a RF context-sensing arrangement and a pair-assigning unit (110) configured to assign, using the ascertained position information, at least one transmitter-receiver pair among the individual RF-sensing nodes of the RF context-sensing arrangement to perform a RF context-sensing function, to assign to the RF sensing nodes of the given transmitter-receiver pair a transmitter role (Tx) and a receiver role (Rx), respectively. The pair-assignment device then provides pair information indicative of the at least one assigned transmitter-receiver pair and the assigned transmitter and receiver roles and thus enables an increase of tolerance of the RF context-sensing arrangement against changes in the position of movable objects.

Included are an object identification unit that identifies an identified object in an image; a mapping unit that generates a superimposed image by superimposing target points corresponding to ranging points and superimposing a rectangle surrounding the identified object to the image; an identical-object determination unit that specifies, in the superimposed image, two target points closest to the left and right line segments of the rectangle inside the rectangle; a depth addition unit that specifies, in a space, the positions of two edge points indicating the left and right edges of the identified object based on two ranging points corresponding to the two specified target points, and calculates two depth positions of two predetermined corresponding points different from the two edge points; and an overhead-view generation unit that generates an overhead view of the identified object from the positions of the two edge points and the two depth positions.

Included are an object identification unit that identifies an identified object in an image; a mapping unit that generates a superimposed image by superimposing target points corresponding to ranging points and superimposing a rectangle surrounding the identified object to the image; an identical-object determination unit that specifies, in the superimposed image, two target points closest to the left and right line segments of the rectangle inside the rectangle; a depth addition unit that specifies, in a space, the positions of two edge points indicating the left and right edges of the identified object based on two ranging points corresponding to the two specified target points, and calculates two depth positions of two predetermined corresponding points different from the two edge points; and an overhead-view generation unit that generates an overhead view of the identified object from the positions of the two edge points and the two depth positions.

A drone classification device is provided. The drone classification device includes a radio signal receiver configured to receive a radio signal, and a radio signal analyzer configured to determine physical characteristics of the received radio signal, to compare the determined physical characteristics of the received radio signal with a plurality of reference characteristics, each reference characteristics describing a drone class of a plurality of drone classes, and to classify a drone into a drone class of a plurality of drone classes depending on a result of the comparison.

An electronic device includes a processor operably connected to a radar transceiver. The processor is configured to transmit, via the radar transceiver, radar signals to detect an object. The processor is also configured to detect the object using a single radar frame or multiple radar frames from the radar signals. The processor is further configured to determine whether to use the single radar frame or the multiple radar frames based on motion of the object for angle identification between the object and the electronic device. Additionally, the processor is configured to identify the angle using the single radar frame based on a determination to use the single radar frame or the multiple radar frames based on a determination to use the multiple radar frames. The processor is also configured to modify radio frequency exposure levels based on the angle of the object relative to the electronic device.