A system for infrastructure system calibration includes a sensor configured to be mounted to an infrastructure component and configured to detect an object. A corner reflector has an optical pattern and is arranged within a field of view of the sensor. The corner reflector has three surfaces that meet at a point.

Embodiments of a vehicular radar system are presented herein. One embodiment comprises a first circuitry layer including a first radar subsystem for a first frequency band, the first radar subsystem including a first end-fire antenna. The vehicular radar system also includes a second circuitry layer stacked on or under the first circuitry layer, the second circuitry layer including a second radar subsystem for a second frequency band, the second radar subsystem including a second end-fire antenna. In this embodiment, one or more components of the vehicular radar system are shared between the first and second radar subsystems.

The present invention relates to a security surveillance microwave sensor having a reduced false report rate by means of biological signal detection, which monitors and determines a malfunction state or a false alarm generated by environmental factors by detecting humans, animals or objects approaching within a predetermined distance using a microwave signal. The present invention may extend the monitoring distance of security surveillance, set an IF frequency band disturbed by a human body, amplify the IF frequency or use a change in the voltage level to extend the monitoring distance, manage a monitoring state by double-checking transmission and reception of security signals, and reduce the false report rate by distinguishing the false alarms or the malfunction state of the sensor.

The present invention relates to a security surveillance microwave sensor having a reduced false report rate by means of biological signal detection, which monitors and determines a malfunction state or a false alarm generated by environmental factors by detecting humans, animals or objects approaching within a predetermined distance using a microwave signal. The present invention may extend the monitoring distance of security surveillance, set an IF frequency band disturbed by a human body, amplify the IF frequency or use a change in the voltage level to extend the monitoring distance, manage a monitoring state by double-checking transmission and reception of security signals, and reduce the false report rate by distinguishing the false alarms or the malfunction state of the sensor.

A method for low-interference operation of a plurality of radar sensors, which are installed in different vehicles and each emit a transmission signal in an operating range, which is characterized by at least one of the following parameters: frequency, coding, activity time window. Each radar sensor is assigned an operating range according to at least one degree of freedom of movement of the vehicle, in which the radar sensor is installed.

A method for obtaining approval of a sensor system for detecting objects in a vehicle's environment includes providing a combined probability distribution for deviations between output data from a sensor system and reference data at the programming level for detecting objects by the sensor system, at the sensor level and/or at the fusion level, sampling deviation combinations and calculating occurrence probabilities for the sampled deviation combinations using the combined probability distribution, subjecting the reference data to the sampled deviation combinations, processing these reference data with a fusion unit, and obtaining fusion results, removing occurrence probabilities from the combined probability distribution from which those fusion results are obtained that satisfy a predefined condition, and obtaining a residual probability distribution, taking the integral of the residual probability distribution and obtaining an absolute error probability, and obtaining approval of the sensor system based on the absolute error probability.

To provide a precipitation particle classification apparatus for obtaining a proper classification result of precipitation particles based on information from a plurality of radar devices. The precipitation particle classification apparatus includes a data processing part, a fuzzy processing part, a coordinate conversion part, an interpolation part, and a classification part. The data processing part acquires polarization parameters obtained by reflection on the precipitation particles from each of the plurality of radar devices which are arranged at different positions and have a part of a scanning area overlapping with each other. The fuzzy processing part obtains a polar coordinate distribution evaluation value indicating the distribution in polar coordinates of an evaluation value indicating the degree of attribution to each type of precipitation particles from polarization parameters by using a fuzzy inference. The coordinate conversion part converts the polar coordinate distribution evaluation value into the Cartesian coordinate distribution evaluation value. The interpolation part integrates the Cartesian coordinate distribution evaluation values whose positions on the coordinates are substantially equal among the Cartesian coordinate distribution evaluation values obtained for each of the plurality of radar devices to obtain a composite evaluation value. The classification part classifies precipitation particle species based on the composite evaluation value.

An apparatus for mobile machinery includes a sensor module configured for detachable fitment to mobile machinery, and a control module configured to interface with a control system of the mobile machinery. The sensor module includes an orthogonal sensor arrangement for sensing obstacles in three-dimensional space, an orthogonal indicator arrangement configured to provide a gradient proximity indication of an obstacle, and a wireless transceiver arranged in signal communication with the sensor and indicator arrangements. The control module includes a control wireless transceiver for communicating with the wireless transceiver of the sensor module, and a processor in signal communication with the control wireless transceiver, the processor configured to program, via the wireless transceiver of each sensor module, the sensor and indicator arrangements and with predetermined thresholds of obstacle proximity. If a sensed obstacle proximity exceeds a maximum threshold, the processor overrides the control system to facilitate situational awareness of an operator.

In some example embodiments, there is provided a tag. The tag may include an antenna configured to receive a first radio frequency signal and to reradiate a second radio frequency signal; and an ultrasonic transducer coupled to the antenna, wherein an ultrasound signal received by the ultrasonic transducer causes a variation of at least one property of the ultrasonic transducer, wherein the variation of the at least one property imparts a modulation onto at least a portion of the first radio frequency signal, and wherein the modulated first radio frequency signal is reradiated by the antenna as the second radio frequency signal. Related system, methods, and articles of manufacture are also disclosed.

An ultra-wideband assisted precise positioning system and an ultra-wideband assisted precise positioning method are provided. The method includes: arranging a plurality of device nodes in a target area; configuring a central control device node to communicatively connect to the device nodes; configuring the device nodes to perform a positioning process to obtain measured distances and positioning positions to be corrected; and configuring a central control processor to execute a positioning algorithm. The positioning algorithm includes: obtaining the measured distances and the positioning positions to be corrected; for each of the positioning positions to be corrected, performing a center-of-gravity weighting processing on neighboring points for obtaining initial guess positions; and obtaining the initial guess positions to input to an optimizer and optimize an objective function, and finding corrected positions with relatively smallest errors. The objective function includes empirical weights associated with distance errors of the measured distances.