A mobile device for handling objects includes a radio frequency identifier reader for receiving radiation emitted by object-specific radio frequency identifiers attached to the objects and radiation emitted by fixed radio frequency identifiers. The mobile device includes a processing system that computes a speed estimate for the mobile device based on a distance between two fixed radio frequency identifiers and a time-difference between receptions of radiation from these fixed radio frequency identifiers. The processing system determines, based on radiation received from each object-specific radio frequency identifier, a movement indicator indicative of movement of the mobile device with respect to the corresponding object. When the speed estimate exceeds a threshold, the processing system classifies objects which are moving in accordance with the movement indicator to be objects non-belonging to a load of the mobile device. The mobile device can be for example a forklift.

A method of operating a radar sensor system that is configured to determine range and velocity information from radar waves reflected by a scene in an interior of a vehicle for vital sign detection. The method includes steps to decompose reflected and received signals into range and velocity information, to measure the movement over time in specified range gates and to evaluate the similarities between them. Based on the characteristics of similar behaving range bins, it can be decided whether any detected movement is related to an internal or external disturbance or by vital signs.

A radar detection method may include: transmitting a first radar signal in a field of view and receiving a second radar signal originated from reflections of the first radar signal in the field of view; generating a detection profile by processing the first and second radar signals, the detection profile representing intensities of the second radar signal as a function of positions in the field of view; and analyzing the detection profile to identify targets in the field of view. Analyzing the detection profile may include: using a first mode of analysis, with lower sensitivity, for first cycles, wherein the first mode of analysis is configured to detect a target entering the field of view; using a second mode of analysis, with higher sensitivity, for second cycles following the first cycles, wherein the second mode of analysis is configured to detect stay of the target in the field of view.

A radar system is provided that includes a radar transceiver integrated circuit (IC) configurable to transmit a first frame of chirps, and another radar transceiver IC configurable to transmit a second frame of chirps at a time delay ΔT, wherein ΔT=T.sub.c/K, K≥2 and T.sub.c is an elapsed time from a start of one chirp in the first frame and the second frame and a start of a next chirp in the first frame and the second frame, wherein the radar system is configured to determine a velocity of an object in a field of view of the radar system based on first digital intermediate frequency signals generated responsive to receiving reflected chirps of the first frame and second digital IF signals generated responsive to receiving reflected chirps of the time delayed second frame, wherein the maximum measurable velocity is increased by a factor of K.

The present application provides a method, apparatus and electronic equipment for recognizing a posture of a target, a first receiving signal and a second receiving signal upon scattering of a transmitting signal from a target to be recognized are acquired, a first baseband signal is determined according to the first receiving signal and the transmitting signal, and a second baseband signal is determined according to the second receiving signal and the transmitting signal; and a category of the posture of the target to be recognized is finally determined according to the first baseband signal and the second baseband signal. The first baseband signal and the second baseband signal carry various feature values related to the posture of the target, including but not limited to transversal velocity information and radial velocity information, etc.

A system, method, and computer-readable medium having instructions stored thereon to enable an ego vehicle having an autonomous driving function to estimate and traverse a curved segment of highway utilizing radar sensor data. The radar sensor data may comprise stationary reflections and moving reflections. The ego vehicle may utilize other data, such as global positioning system data, for the estimation and traversal. The estimation of the curvature may be refined based upon a lookup table or a deep neural network.

Embodiments relate to a device and method for determining a status of an environment and/or a status or condition of a person therein. The method may comprise: receiving an output of a sensor to monitor said environment; commencing a time window after the sensor detects activity in the environment; upon expiry of the time window, activating an active reflected wave detector to measure wave reflections from the environment, the detector consuming more power in an activated state than the sensor in an activated state; and determining a status of the environment and/or of a person therein based on an output of the active detector indicative of one or more of the measured reflections. The method comprises delaying expiry of the time window in response to the sensor detecting activity in the environment during the time window.

A fall detector device (102) for mounting on a wall for monitoring an environment (100), comprising: a motion sensor (204) for detecting motion of a person (106) within a first field of view of the motion sensor; an active reflective wave sensor (206) for detecting the presence of a person within a second field of view of the active reflective wave sensor using wave reflections from the environment, the first and second fields of views at least partially overlapping one another, and a processor coupled to the motion sensor and active reflective wave sensor for receiving output from each of the motion sensor and active reflective wave sensor, wherein operation of the active reflective wave sensor is dependent on a detection of motion of a person within at least a portion of the first field of view by the motion sensor.

A method for recognizing a human hand comprises: recognizing a human body target by using a plurality of frames of detection information acquired by a millimeter wave radar within a preset time period; determining whether a new detection target satisfying setting conditions exists within a preset range centering on the human body target, according to a current frame of detection information, the setting conditions including: having a radial velocity; if so, determining the new detection target satisfying the setting conditions as a hand corresponding to the human body target; and if not, determining that the hand corresponding to the human body target does not exist in the current frame.

An object is to accurately determine the presence or absence of a living body. A living body detection device comprises: a signal acquirer that acquires a first signal including a first frequency component that is a frequency component of heartbeat and a second frequency component that is a frequency component of breathing; a filter that attenuates a frequency component higher than the first frequency component based on the first signal to generate a second signal; a frequency analyzer that analyzes a frequency component of the second signal; a variance value calculator that calculates a first variance value of energy of at least one of the first frequency component and the second frequency component based on a result of analysis by the frequency analyzer; a first statistical quantity calculator that calculates a first statistical quantity of the first variance value for a predetermined period; and a determiner that determines presence or absence of a living body based on the first statistical quantity.