A system and bent-pipe transponder component for determining a location of an individual or object in three dimensional space. The system includes a transmitter configured to transmit a first wireless electromagnetic signal at a first frequency and at least one transponder that is configured to responsively emit a second wireless electromagnetic signal having a second frequency that is frequency-shifted from the first frequency. An included receiver detecting the first and second wireless electromagnetic signals is configured to provide an output of location information for the at least one transponder. A bent-pipe transponder component may include a receiving antenna, an emitting antenna, and a frequency shift stage comprising an oscillator and a first mixer, with the frequency stage mixing a received first wireless electromagnetic signal with the output of the oscillator via the first mixer to produce the emitted second wireless electromagnetic signal.

This document describes apparatuses and techniques for radar-enabled sensor fusion. In some aspects, a radar field is provided and reflection signals that correspond to a target in the radar field are received. The reflection signals are transformed to provide radar data, from which a radar feature indicating a physical characteristic of the target is extracted. Based on the radar features, a sensor is activated to provide supplemental sensor data associated with the physical characteristic. The radar feature is then augmented with the supplemental sensor data to enhance the radar feature, such as by increasing an accuracy or resolution of the radar feature. By so doing, performance of sensor-based applications, which rely on the enhanced radar features, can be improved.

Systems and methods are provided for recognizing a human being behind a barrier using a radar image. A millimeter band radar assembly captures radar returns from a region of interest, at least a portion of which is separated from the millimeter band radar assembly by the barrier. A system control processes the radar returns to provide at least one radar image showing the amplitude of the radar return in each of a plurality of locations within the region of interest. The system control includes a sensitivity tuning component that adjusts a noise floor for the processed sensor data to provide an image of the at least one radar image tuned to maximize the visibility of the human being. A display provides the radar image to a user.

A method for natural language interaction includes recording speech provided by a human user. The recorded speech is translated into a machine-readable natural language input relating to an interaction topic. An interaction timer is maintained that tracks a length of time since a last machine-readable natural language input referring to the interaction topic was translated. Based on a current value of the interaction timer being greater than an interaction engagement threshold, a message relating to the interaction topic is delivered with a first natural language phrasing that includes an interaction topic reminder. Based on the current value of the interaction timer being less than the interaction engagement threshold, the message relating to the interaction topic is delivered with a second natural language phrasing that lacks the interaction topic reminder.

Various embodiments dynamically learn user-customizable input gestures. A user can transition a radar-based gesture detection system into a gesture-learning mode. In turn, the radar-based gesture detection system emits a radar field configured to detect a gesture new to the radar-based gesture detection system. The radar-based gesture detection system receives incoming radio frequency (RF) signals generated by the outgoing RF signal reflecting off the gesture, and analyzes the incoming RF signals to learn one or more identifying characteristics about the gesture. Upon learning the identifying characteristics, the radar-based gesture detection system reconfigures a corresponding input identification system to detect the gesture when the one or more identifying characteristics are next identified, and transitions out of the gesture-learning mode.

The methods and device disclosed herein provide electromagnetic (EM) portable device for imaging an object embedded within a medium, the device comprising an array, the array comprises at least two transducers, wherein at least one of the at least two transducers is configured to transmit a signal towards the object, and at least one transceiver attached to said at least two transducers, the at least one transceiver is configured to transmit at least one signal toward the object and receive a plurality of signals affected by the object while the array is moved in proximity to the medium; a data acquisition unit configured to receive and stare the plurality of affected signals; and a processor unit configured to provide one or more hypothetical parameter values aver a parameter space of said at least one object and provide a target model per hypothesis of said parameter values, and compute a score value per hypothesis as a function of the target model and the affected signals.

In an example, the present invention provides an UWB and FMCW sensor apparatus, with an audio module and inertial motion module, using multi-core processing and an AI processor.

Embodiments provide for a portable imager by capturing several radar readings related to an object in an environment over several times from several of Points of View (POV), wherein each radar reading indicates a distance to and reflectivity of the object relative to the imager; capturing several camera images of the environment over the several of times from the several POVs; determining positional shifts of the imager over the several times based on photogrammetrical differences between subsequent camera images of the several camera images; determining, based on accelerometer data, a trajectory that the imager moves in the environment over the several times; determining positions of the imager in the environment over the several times based on the positional shifts and the trajectory; combining the several radar readings based on the positions to produce a synthetic aperture radar image of the object; and outputting the synthetic aperture radar image.

A system that may be used to detect objects in front and behind of a barrier, such as a wall. The system includes a processor, a radar device, a thermal image device, and a display each being connected to the processor. The system detects objects based on reflected signals from the radar device and objects based on infrared light. The display shows at the same time objects detected by either the radar device or the thermal image device. A size of a displayed objects may be reduced based on the distance the object is from the system. The processor may be configured to discard objects detected by the radar device that are located in front of the barrier. The system may display objects located in front of the barrier detected by the thermal image device overlaid with objects located behind the barrier detected by the radar device.

Apparatus and methods useful in surveying to provide information rich models. In particular, information not readily or possibly provided by conventional survey techniques can be provided. In some versions targets provide reference for baseline positioning or improving position information otherwise acquired. Scanning may be carried out in multiple locations and merged to form a single image. Machine mounted and hand mounted scanning apparatus is disclosed.