Systems and methods for Wi-Fi sensing using UL-OFDMA are provided. Wi-Fi sensing systems include sensing devices and sensing transmitters configured to communicate through radio-frequency signals. Initially, first channel resources are allocated to first expected transmissions from the sensing transmitters and first sensing trigger message to trigger first series of sensing transmissions from the sensing transmitters is transmitted. Further, a first series of sensing transmissions is received, and the first series of sensing measurements are generated. Thereafter, identification of feature of interest is obtained and a selection of sensing transmitters is determined. Second channel resources are allocated to second expected transmissions from the selection of sensing transmitters. A second sensing trigger message to trigger a second series of sensing transmissions from the selection of the sensing transmitters is provided. A series of sensing transmissions is received, and a second series of sensing measurements is generated based on the second series of sensing transmissions.

A method for radar signal processing separates an electric signal generated by Doppler processors of a radar into alternating current (AC) magnitudes with Doppler frequencies corresponding to absolute values between 0.1 and 4 Hz and direct current (DC) magnitudes with no Doppler frequency. An AC line and a DC line are generated, based on the AC magnitudes and the DC magnitudes, respectively, by adding respective energies across Doppler cells for each range cell and subsequently applying CFAR detector algorithm respectively. An energy level difference between an energy spike in the AC line and another energy spike in the DC line is calculated and compared with a threshold set for detecting a breathing target that is stationary. If the energy level difference is greater than the threshold, the breathing target that is stationary is detected and reported to the radar operator.

A method for radar signal processing separates an electric signal generated by Doppler processors of a radar into alternating current (AC) magnitudes with Doppler frequencies corresponding to absolute values between 0.1 and 4 Hz and direct current (DC) magnitudes with no Doppler frequency. An AC line and a DC line are generated, based on the AC magnitudes and the DC magnitudes, respectively, by adding respective energies across Doppler cells for each range cell and subsequently applying CFAR detector algorithm respectively. An energy level difference between an energy spike in the AC line and another energy spike in the DC line is calculated and compared with a threshold set for detecting a breathing target that is stationary. If the energy level difference is greater than the threshold, the breathing target that is stationary is detected and reported to the radar operator.

A service verification system for a rear loading refuse vehicle includes a motion sensor on a tailgate of the refuse vehicle. The motion sensor is configured to sense refuse being loaded into a tailgate hopper and to provide a time-stamped triggering signal corresponding to a refuse loading event. An onboard processor is configured to receive the triggering signal and evaluate other sensor data to correlate the refuse loading event with an entity.

A service verification system for a rear loading refuse vehicle includes a motion sensor on a tailgate of the refuse vehicle. The motion sensor is configured to sense refuse being loaded into a tailgate hopper and to provide a time-stamped triggering signal corresponding to a refuse loading event. An onboard processor is configured to receive the triggering signal and evaluate other sensor data to correlate the refuse loading event with an entity.

An intrusion detection system for a vehicle includes a radar sensor, a calculator, and an alarm system adapted to generate an alarm, the radar sensor being adapted to detect the presence of a body within the vehicle, the calculator being adapted to categorize each detected body as either a “human” category or an “other” category and to trigger the alarm system only when at least one of the detected body(ies) is categorized as “human”. Also included is an associated vehicle and method.

An intrusion detection system for a vehicle includes a radar sensor, a calculator, and an alarm system adapted to generate an alarm, the radar sensor being adapted to detect the presence of a body within the vehicle, the calculator being adapted to categorize each detected body as either a “human” category or an “other” category and to trigger the alarm system only when at least one of the detected body(ies) is categorized as “human”. Also included is an associated vehicle and method.

In accordance with an embodiment, an apparatus includes a millimeter wave radar sensor system configured to detect a location of a body of a person, where the detected location of the body of the person defines a direction of the person relative to the apparatus; and a microphone system configured to generate at least one audio beam as a function at least of the direction.

In accordance with an embodiment, an apparatus includes a millimeter wave radar sensor system configured to detect a location of a body of a person, where the detected location of the body of the person defines a direction of the person relative to the apparatus; and a microphone system configured to generate at least one audio beam as a function at least of the direction.

Various embodiments wirelessly detect micro gestures using multiple antenna of a gesture sensor device. At times, the gesture sensor device transmits multiple outgoing radio frequency (RF) signals, each outgoing RF signal transmitted via a respective antenna of the gesture sensor device. The outgoing RF signals are configured to help capture information that can be used to identify micro-gestures performed by a hand. The gesture sensor device captures incoming RF signals generated by the outgoing RF signals reflecting off of the hand, and then analyzes the incoming RF signals to identify the micro-gesture.