An autonomous vehicle includes sensor subsystem(s) that output a sensor signal. A perception subsystem (i) detects an agent in a vicinity of the autonomous vehicle and (ii) generates a motion signal that describes at least one of a past motion or a present motion of the agent. An intention prediction subsystem processes the sensor signal to generate an intention signal that describes at least one intended action of the agent. A behavior prediction subsystem processes the motion signal and the intention signal to generate a behavior prediction signal that describes at least one predicted behavior of the agent. A planner subsystem processes the behavior prediction signal to plan a driving decision for the autonomous vehicle.

Example embodiments relate to measuring rotational speeds of trailer wheels using radar. A computing device may cause a vehicle radar unit to transmit radar signals toward a wheel of trailer being pulled by the vehicle. The computing device may receive radar reflections corresponding to radar signals that reflected off the wheel and determine a rotational speed of the wheel based on the radar reflections. For instance, the computing device may identify the highest or lowest frequency in the frequency spectrum of the radar reflections and use the frequency and the wheel's radius to calculate the rotational speed of the wheel. The computing device can use rotational speed measurements for trailer wheels to monitor performance of the trailer and adjust vehicle navigation accordingly. In some instances, the computing device may determine that one of the trailer wheels requires servicing based on monitoring the rotational speeds of the trailer wheels.

The invention concerns processing which implements the following steps to estimate polarimetric parameters: In the cross power spectrum, identifying signal-containing lines and lines only containing noise; From the power spectra of each channel and from the cross power spectrum, deleting lines at the frequencies identified as only containing noise in the cross power spectrum; Calculating polarimetric parameters as a function of the power spectra thus corrected. Application to weather radars and other types of bipolar radars having coherent reception.

The present disclosure is directed to motion detection and recognition using segmented data from reflections of transmitted signals. An apparatus includes a transmitter, a receiver, and a processor. The processor may cause the transmitter to transmit pulses of an RF signal, the reflections of which are received by a receiver. For each of a number of consecutive segments, the transmitter may transmit N pulses of the RF signal, followed by quiet period. The processor may determine amplitude and phase data for reflections received by the receiver. Over a number of consecutive segments, the processor may detect and classify the amplitude and phase data change over time.

A human presence detector includes a microwave generator, a microwave receiver, a frequency mixing wave detector and a signal processor. The microwave generator is configured to emit and transmit a detecting microwave in a detection space. The microwave receiver is configured to receive a corresponding echo of the detecting microwave. The frequency mixing wave detector, linked to the microwave generator and the microwave receiver, is configured to perform a frequency mixing wave detection on the detecting microwave and the corresponding echo of the detecting microwave to output a primary detecting signal. The signal processor linked to the frequency mixing wave detector is configured to select a fluctuation signal at a predetermined frequency range in the primary detecting signal to amplify and output a secondary detecting signal. Accordingly, in response to the detection of the motion at the predetermined frequency range, a human (living) body is detected and determined in the detection space.

A method for determining golf shot characteristics includes detecting, in imaging data captured by an imager, a signature of a golf shot launched from a first launch area, a field of view of the imager including one of the first launch area and an area adjacent to the first launch area, and determining, from the imaging data, first golf shot characteristics, the first shot characteristics including a first launch location and a first launch time in combination with determining whether the first launch location and the first launch time correspond to a second launch location and a second launch time for second golf shot characteristics determined from sensor data captured by a further sensor arrangement and when no correspondence is found between the first and second launch locations and the first and second launch times, transmitting the first shot characteristics to a display at the first launch location.

An electronic device and a method for gesture recognition are disclosed. The electronic device includes a radar transceiver and a processor operably connected to the radar transceiver. The processor is configured to detect a triggering event. In response to detecting the triggering event, the processor is configured to transmit, via the radar transceiver, radar signals. The processor is also configured to identify a gesture from reflections of the radar signals received by the radar transceiver. The processor is further configured to determine whether the gesture is associated with the triggering event. Based on determining that the gesture is associated with the triggering event, the processor is configured to perform an action indicated by the gesture.

A system and method for detection and identification of an Unmanned Aircraft Systems (UAS) employs a radar system to detect and identify the UAS based on the rich Doppler spectrum generated by one or more rotors and associated motors onboard the UAS. UAS have a low radar cross sections (RCS), relatively low speed, and possess a unique Doppler signature providing data for the system to discriminate once the system detects the quadcopter UAS. The system and method functions as a traditional radar, yet analyzes the micro-Doppler signature, including the RCS and radial speed, to detect and identify the UAS. Based on the signature analysis, the system and method are able to distinguish one model from other types of UAS.

An apparatus includes a shaker screen onto which downhole materials and fluid from a borehole are to be placed, the downhole materials a product of a downhole operation and a shaker to vibrate the shaker screen to separate the downhole materials from the fluid. The apparatus includes a radar to emit an electromagnetic wave onto the downhole materials on at least one of the shaker screen and a transit and detect a reflection of the electromagnetic wave reflected off at least a portion of the downhole materials and a device to determine a velocity of the downhole materials advancing along at least one of the shaker screen toward a discharge end of the shaker screen and the transit.

An electronic device and a method for gesture recognition are disclosed. The electronic device includes a radar transceiver and a processor operably connected to the radar transceiver. The processor is configured to detect a triggering event. In response to detecting the triggering event, the processor is configured to transmit, via the radar transceiver, radar signals. The processor is also configured to identify a gesture from reflections of the radar signals received by the radar transceiver. The processor is further configured to determine whether the gesture is associated with the triggering event. Based on determining that the gesture is associated with the triggering event, the processor is configured to perform an action indicated by the gesture.