Abstract: A method for monitoring surroundings of a first sensor system. The method includes: providing a temporal sequence of data of the first sensor system for monitoring the surroundings; generating an input tensor including the temporal sequence of data of the first sensor system, for a trained neural network; the neural network being configured and trained to identify, on the basis of the input tensor, at least one subregion of the surroundings, in order to improve the monitoring of the surroundings with the aid of a second sensor system; generating a control signal for the second sensor system with the aid of an output signal of the trained neural network, in order to improve the monitoring of the surroundings in the at least one subregion.

Abstract: A tracking system and a method of tracking an object. Wireless signal communication between a central processing unit, a device and numerous wireless transmitters allows the tracking system to provide tracking information through different communication modalities. In one form, the communication is between the device and a first of the wireless transmitters or between the device and one more second wireless transmitters when the device is within Bluetooth® Low Energy wireless signal communication range. Likewise, the communication is between the device and one or more of the first wireless transmitter, the second wireless transmitters or the central processing unit over one of numerous other wireless communication technologies when the device is beyond Bluetooth® Low Energy wireless signal communication range of the first and second wireless transmitters. Additionally, some of the wireless transmitters may form either direct or indirect wireless signal communication with one another.

Abstract: Embodiments for determine a perimeter of a physical space on an electronic device are disclosed. In an embodiment, a device has at least one radar sensor of an array of receivers arranged in a plane that sense depth via radar signal modulation and one or more processors that receive radar sensor data with the at least one radar sensor, perform a comparison between received energy level values for one or more points in a scene from the received radar sensor data, detect one or more reflector points based on the comparison and the one or more reflector points have energy level values that are higher than energy level values attributed to other points in the received radar sensor data, and determine an estimation for a perimeter of a physical space based on the one or more reflector points.

Abstract: A device for measuring electromagnetic properties of a target includes a stage capable of holding, rotating, and translating the target. A mirror is provided that can be laterally translated. A light source provides a light signal that a splitter splits onto a reference path and a target path. The light signal on the target path is collimated and shines on the target, and the light signal on the mirror path is collimated and shines on the mirror. Reflected light from the target and the mirror is provided to an optical coupler. The optical coupler combines the light and provides output a signal processor. The signal processor computes electromagnetic properties of the target from the combined optical signal.

Abstract: A satellite constellation system includes a plurality of satellites, wherein each satellite is configured to orbit in one of a plurality of orbital planes of the satellite constellation system at an altitude range corresponding to low earth orbit (LEO), wherein each of the plurality of orbital planes includes a corresponding one of a plurality of satellite subsets of a plurality of satellites, wherein a first orbital plane of the plurality of orbital planes corresponds to a first coverage area facilitated by a plurality of navigation signals transmitted by ones of the plurality of satellites in the first orbital plane, wherein the plurality of navigation signals transmitted by the ones of the plurality of satellites in the first orbital plane each have a first primary pseudo-random noise (PRN) code; and wherein a second orbital plane of the plurality of orbital planes corresponds to a second coverage area facilitated by a plurality of navigation signals transmitted by ones of the plurality of satellites in th

Abstract: A positioning method includes: receiving detection data sent by a positioning device, in which the detection data includes first satellite data of multiple satellites; determining prediction noise of each satellite based on the first satellite data, and determining a weight of each satellite based on the prediction noise; and determining a position of the positioning device based on the weight and observation equations.

Abstract: A vehicle sensor device (1) includes an outer cover (12), a sensor unit (20) that transmits and receives an electromagnetic wave through the outer cover (12) and outputs a signal related to the electromagnetic wave incident on an inner side of the outer cover (12), a heater (30) that is provided in the outer cover (12) and heats a transmission region (AR) of the outer cover (12) through which the electromagnetic wave emitted from the sensor unit (20) passes, and a control unit (CO). The control unit (CO) outputs a detection signal of an object located outside the outer cover (12) based on the signal from the sensor unit (20) in at least a part of a period in which the heater (30) is OFF, and stops outputting of the detection signal in at least a part of a period in which the heater (30) is ON.

Abstract: Various embodiments are directed to a radar reflector configured for radar-based distance measurements for determining a position of an elevator car within an elevator shaft. The radar reflector comprises three or more triangular panels defining a pyramidal frustum volume having a base plane and an upper plane that are parallel. The pyramidal frustum volume is configured to directly reflect radar signals originating from a radar transceiver back to the radar transceiver based at least in part on the triangular panels being mutually perpendicular at a projected apex above the upper plane. The reflected radar signals reflected by the radar reflector have substantially parallel trajectories with the original, pre-reflected radar signals emitted by the radar transceiver. The triangular panels of the radar reflector being mutually perpendicular advantageously maintains direct reflection of radar signals in spite of any potential horizontal tilt of the radar reflector to a certain extent.

Abstract: A method of processing sensor information of the present disclosure includes generating, based on location information of a target object and low-level sensor information detected from the target object at the corresponding location, a ground truth for each of sensor beam sections detecting the target object, and generating, based on the ground truth, a sensor performance map containing information on accuracy of low-level sensor information detected in the corresponding sensor beam section.

Abstract: A system for tracking at least one object configured to be transported by at least one vehicle may include at least one computer system. The at least one computer system may be configured to determine at least one location of the at least one vehicle and determine at least one location of the at least one object. The at least one computer system may be further configured to determine at least one location of at least one geofence adjacent the at least one vehicle based on the at least one location of the at least one vehicle. Also, the at least one computer system may be configured to determine whether the at least one object is located within the at least one geofence to determine whether a load of the at least one vehicle includes the at least one object.

Abstract: A system comprises a GNSS receiver that receives a GNSS signal and produces GNSS measurements; a plurality of inertial sensors that produce inertial data; and a navigation system comprising a Kalman filter and an inertial navigation unit. The Kalman filter receives the GNSS measurements and calculates pseudo-range residuals, delta-range residuals, pseudo-range chi square values, delta-range chi square values, accelerometer bias estimates, and gyroscope bias estimates. A spoof detection system communicates with the Kalman filter and comprises a set of detection monitors that determine an integrity of the GNSS measurements. The detection monitors detect if the pseudo-range residuals, the delta-range residuals, the pseudo-range chi-square values, the delta-range chi-square values, the accelerometer bias estimates, or the gyroscope bias estimates, go beyond a fail threshold indicating that the GNSS signal is abnormal.

Abstract: Techniques for estimating a ground plane based on lidar data and/or attributes of the ground plane are discussed herein. A vehicle captures radar data, e.g., 4D radar data including height information, as it traverses an environment. The radar data can include direct returns from an object and reflected or multipath returns, e.g., that reflect off a ground surface and the object. A position of the ground plane can be estimated based at least in part on a distance between direct returns and the reflected returns. Attributes of the ground plane may be determined from differences between the direct returns and the reflected returns.

Abstract: Wireless sensing for in-vehicle child presence detection is described. In one example, a described method comprises: obtaining a time series of channel information (TSCI) of a wireless channel in a vehicle; computing a motion statistics (MS) based on channel information (CI) of the TSCI in a time period; detecting a motion of a user in the time period by comparing the motion statistics with a first threshold, wherein the motion of the user is detected when the motion statistics exceed the first threshold; constructing a 2-dimensional (2D) transform matrix based on 1-dimensional (1D) transforms of CI of TSCI in sliding time windows in the time period; detecting a number of horizontal streaks of the 2D transform matrix; detecting a breathing motion of the user in the time period based on the number of detected horizontal streaks of the 2D transform matrix and an associated criterion.

Abstract: One embodiment of the disclosure relates to a vehicle radar device and a method for controlling the same. According to the present embodiments, a vehicle radar device may comprise an antenna unit including Nt transmission antennas and Nr reception antennas, wherein Nt is a natural number equal to or larger than 1, and Nr is a natural number equal to or larger than 2, a transceiver controlling the transmission antenna to transmit a transmission signal and the reception antenna to receive a reception signal reflected by a target, a signal processor detecting one or more peak signals for the target and separately detecting Nt*Nr channel reception signals corresponding to each peak signal, a target angle estimator calculating a target angle estimate from k channel reception signals selected from among the Nt*Nr channel reception signals, and a target size information estimator calculating size information about the target based on up to NV*NrCk target angle estimates calculated by the target angle estimator.

Abstract: A vehicular sensing system includes a radar sensor including a radar module having a plurality of transmitters and a plurality of receivers. The radar module includes a plurality of facets, with each facet arranged at an obtuse angle relative to an adjacent facet and having a respective transmitter and a respective receiver disposed thereat. The respective transmitter and the respective receiver of each facet have a respective field of sensing and a respective principal sensing axis that is perpendicular to the respective facet. The vehicular sensing system, responsive to processing by the data processor of sensor data captured by the radar sensor, determines presence of a target object within a field of sensing of the radar sensor. Responsive to determining presence of the object, the vehicular sensing system controls a system of the vehicle based on the determined presence of the object.

Abstract: Method for detecting traffic congestion using a motor vehicle radar system, comprising multi-beam radar sensors (21-24) in the rear and front corners of the vehicle, the method comprising the steps of: dividing the radar sensors (Df_l, Df_r, Dr_l, Dr_r) into four angular sectors (Zfront, Zrear, Zleft, Zright) extending to the front, to the rear, to the right and to the left of the vehicle respectively, —selecting for each angular sector, from the beams for which no target is detected, the (Dfront, Drear, Dleft, Dright) beam having the shortest reach distance, —detecting the amplitude of reflected beams corresponding respectively to the selected beams, and—analysing the period during which the amplitude of the reflected beams is maintained relative to a predefined time threshold for each angular sector respectively, the method detecting a traffic congestion situation when the analysing step determines simultaneously for the four angular sectors that the period during which the amplitude of the reflected beams

Abstract: The disclosure provides ranging methods and apparatuses. One example method includes that a first device sends a first signal on a first channel. The first device receives, on a second channel, a second signal from a second device, where the second signal is a signal obtained after frequency conversion is performed on the first signal. The first device calculates a distance between the first device and the second device based on a phase difference between carriers of the second signal.

Abstract: A track fusion method for an unmanned surface vehicle includes: (a) obtaining perception information of the unmanned surface vehicle, where the perception information includes GPS data information and radar data information; (b) pre-processing the radar data information to obtain target radar information; (c) constructing a track correlation model; and performing track correlation between the GPS data information and the target radar information based on the track correlation model; and (d) constructing a fusion data weight allocation model; and subjecting between the GPS data information and the target radar information correlated therewith to track fusion based on the fusion data weight allocation model. This application further provides a track fusion device for unmanned surface vehicles.

Abstract: The present disclosure relates to a counter measure effector (100) for targeting unmanned aerial vehicles (UAVs), said counter measure effector comprising: at least one antenna (108, 109) for selectively emitting electromagnetic radiation; a telescopic sight (126) comprising an optical system that is transferrable between a first state, in which the optical system has a first appearance, and a second state, in which the optical system has a second appearance that is different from the first appearance, wherein the counter measure effector (100) is configured to set the optical system in its first state, when the at least one antenna is activated, and in its second state, when the at least one antenna is de-activated.

Abstract: Apparatus for and method of using derived information about the direction of propagation of an incoming radar beam to control radar return. The information about the direction of propagation of the incoming radar beam is used to alter aspects of a platform's orientation to control the cross section presented to the radar.