Abstract:
An active radio-frequency (RF) sensing technology for determining the relative and/or absolute state (e.g., position, velocity, and/or acceleration) of a target object (e.g., a person, a car, a truck a lamp post, a utility pole, a building) is described. The sensors described herein operate in the Terahertz band (300 GHz to 3 THz). An active RF sensing device comprises a substrate and first and second semiconductor dies mounted on the substrate. The first semiconductor die has an RF transmit antenna array integrated thereon, and the transmit antenna array comprises a first plurality of RF antennas configured to generate an RF signals having frequency content in the 300 GHz-3 THz band. The second semiconductor die has an RF receive antenna array integrated thereon, and the receive antenna array comprises a second plurality of RF antennas configured to receive RF signals having frequency content in the 300 GHz-3 THz band.
Abstract:
An aircraft hazard warning system or method can be utilized to determine a location of turbulence, hail or other hazard for an aircraft. The aircraft hazard warning system can utilize processing electronics coupled to an antenna. The processing electronics can determine an inferred presence of a weather condition in response to lightning sensor data, radar reflectivity data, turbulence data, geographic location data, vertical structure analysis data, and/or temperature data. The system can include a display for showing the weather condition and its location.
Abstract:
A bicycle radar system including a camera is disclosed. The system may include a radar unit and a mobile electronic device that are in communication with one another. The radar unit may transmit radar signals, receive return signals (reflections), and process the returned radar signals to determine a location and velocity of one or more targets located in a sensor field behind a user's bicycle. The mobile electronic device may include a communication component configured to wirelessly receive content including cartographic data and one or more high-risk geographic areas and a processor configured to determine a threat level based on the targets, the high-risk geographic area and a determined geographic position.
Abstract:
A motion recognition method may include receiving a plurality of frame signals based on radar pulses reflected from a target at different times, generating a plurality of micro-range enhanced frame signals obtained by reinforcing a component of a second region having more movement than movement of a first region among the plurality of frame signals, generating a micro-range enhanced frame set formed by stacking the plurality of micro-range enhanced frame signals at preset time intervals, generating a micro-range enhanced radar image which is an image obtained by viewing the micro-range enhanced frame set in a direction perpendicular to a time axis of the micro-range enhanced frame set, and determining motion of the target by inputting the micro-range enhanced radar image to a machine learning-based learning model.
Abstract:
In a mobile part having at least one module, and a method for operating a mobile part, the mobile part is able to be moved on a driving surface, and the module includes a controllable illumination device. The illumination device is provided and/or situated in elongated form along a planar curve, in particular, a line.
Abstract:
A system and method for detecting and avoiding a collision includes measuring speed of one or more vehicles and at least one parameter indicating road surface and condition, weather, and tire pressure. Rear image dimensions are proportional to the speed of the trailing vehicle and front image dimensions are proportional to the speed of the index vehicle. The timing of the projected images will allow for safe deceleration of trailing and of the index vehiclesThe images are projected either as flat images on the roadway or three-dimensional (holographic) images. The occurrence and severity of a collision is defined by the rate of change in dimensions of the projected images that exceeds a predetermined value corresponding to a deceleration or acceleration of more than 1.1 g. Collision data measured by vehicle or extra vehicular (such as GPS) sensors are instantly stored and transmitted to the police department and emergency medical services.
Abstract:
In some examples, a system is configured to determine a reliability index for weather information received by a weather system. The reliability index may indicate a degree of confidence of the accuracy of the weather information. For example, a system may determine a weather product for each of one or more voxels of a plurality of voxels in a three-dimensional or four-dimensional volumetric buffer, and based on a combination of the weather product and the weather information, determine a reliability index for the weather product. The system may display a first visual representation of the weather product and a second visual representation of the corresponding reliability index.
Abstract:
System and method for estimating locations and range rates of a multiplicity of targets by estimating range-Doppler state representation, including: computing a prior range-Doppler state estimate matrix and a measurement matrix containing phase shifted and re-ordered samples of a transmitted signal waveform; applying the measurement matrix to the range-Doppler state estimate matrix to generate a prediction of a current return sample and calculating a difference between the current return signal sample and the prediction of the current return signal sample; multiplying the difference by a gain matrix to obtain an adjustment to the prior range-Doppler state estimate matrix; repeating the process for a next return signal; computing an estimated range-Doppler map (RDM); applying a threshold to the estimated RDM to detect individual targets and obtain their range and Doppler parameters; and using the range and Doppler parameters to estimate the locations and range rates of the targets.
Abstract:
An image processing device which generates an image where a target object can be discriminated from an object other than the target object. An image processor (15), for echo signals read from a sweep memory (14), calculates a ratio of echo signals indicating a predetermined level or higher among the echo signals of a predetermined number of samples, and generates image data having a display element according to the calculated ratio. This ratio indicates a lower value for an object more isolated and a higher value for an object existing as a larger mass. The image processor (15)acquires color values according to the calculated ratio. Since the target object, such as a ship, is an isolated object and the ratio becomes low, the color values indicate red, and since inland is an object existing as a large mass and the ratio becomes high, the color values indicate green.
Abstract:
A radar or sonar system amplifies the signal received by an antenna of the radar system or a transducer of the sonar system is amplified and then subject to linear demodulation by a linear receiver. There may be an anti-aliasing filter and an analog-to-digital converter between the amplifier and the linear receiver. The system may also have a digital signal processor with a network stack running in the processor. That processor may also have a network interface media access controller, where the system operates at different ranges, the modulator may produce pulses of two pulse patterns differing in pulse duration and inter-pulse spacing, those pulse patterns are introduced and used to form two radar images with the two images being derived from data acquired in a duration not more than twenty times larger than the larger inter-pulse spacing, or for a radar system, larger than one half of the antenna resolution time. One or more look-up tables may be used to control the amplifier. The radar system may generate digital output which comprises greater than eight levels of radar video.