Abstract: A method for operating a radar transceiver to reduce a false alarm rate, the method including transmitting by at least one transmitter antenna, one or more frames at a duty cycle, each frame including N segments, each segment including M signal components, wherein the N segments are consecutively transmitted within the frame, receiving, by K receiver antennas, a response signal from a region of interest, ROI, detecting, for each segment, one or more target object reflections in the response signal, assigning, for each segment, a segment weight value to each of the one or more detected target object reflections, wherein a segment weight value corresponds to a likelihood of the associated target object reflection being associated with a false alarm, and filtering the target object reflections over the N segments based on the segment weight values.

Abstract: An evaluation device for at least one radar sensor having an electronic unit which is designed to evaluate measuring signals of the radar sensor. The radar sensor is designed in such a way that, during its measuring cycles, it emits radar signals and to receive radar signals reflected from an area surrounding the radar sensor and outputs signals corresponding to the received reflected radar signals as measuring signals, while the radar sensor remains inactive for a predetermined pause time between two successive measuring cycles. The electronic unit is designed to perform a Fourier transform utilizing measuring signals from at least two different measuring cycles and/or utilizing evaluation signals derived from the measuring signals from at least two different measuring cycles. A corresponding method for evaluating at least one radar sensor is also described.

Abstract: Two-dimensional data obtained by performing a Fourier transform on a digitally converted FMCW radar signal at every pulse repetition interval over N pulse repetition intervals is input to a convolutional neural network (CNN) to find the probabilities of the existence of a target in range indices. The range indices, i.e., bit frequencies are selected based on the probabilities of the existence of the target. In order to reduce the size of the CNN, windowing is applied to the two-dimensional data. A speed-index-specific coefficient value may be calculated by re-performing a Fourier transform on range data for the selected bit frequencies. Thus, the range and speed of the target may be calculated.

Abstract: One-dimensional data obtained by performing a Fourier transform on a digitally converted frequency modulated continuous wave (FMCW) radar signal at every pulse repetition interval is input to a recurrent neural network (RNN) to find the probability of the existence of a target in each range index. The range indices, i.e., bit frequencies are selected based on the probability. In order to reduce the size of the RNN, windowing may be applied. In addition, a speed-index-specific coefficient value may be calculated by accumulating and performing a Fourier transform on the selected bit frequencies in which the target exists over a plurality of pulse repetition intervals. Thus, it is possible to calculate the speed of the target.

Abstract: Example embodiments relate to beam homogenization for occlusion avoidance. One embodiment includes a light detection and ranging (LIDAR) device. The LIDAR device includes a transmitter and a receiver. The transmitter includes a light emitter. The light emitter emits light that diverges along a fast-axis and a slow-axis. The transmitter also includes a fast-axis collimation (FAC) lens optically coupled to the light emitter. The FAC lens is configured to receive light emitted by the light emitter and reduce a divergence of the received light along the fast-axis of the light emitter to provide reduced-divergence light. The transmitter further includes a transmit lens optically coupled to the FAC lens. The transmit lens is configured to receive the reduced-divergence light from the FAC lens and provide transmit light. The FAC lens is positioned relative to the light emitter such that the reduced-divergence light is expanded at the transmit lens.

Abstract: A lidar device for scanning solid angles with at least one beam, having at least one beam source configured so as to be capable of horizontal rotation for producing at least one beam, having at least one beam emitter for forming the at least one produced beam, having a beam collector capable of horizontal rotation for receiving at least one beam reflected by an object and for deflecting the at least one reflected beam onto a detector, the at least one produced beam being capable of being formed in a variable manner.

Abstract: An optical device includes: a first mirror having a first reflecting surface extending in a first direction and a second direction perpendicular to the first direction; a second mirror having a second reflecting surface; an optical waveguide layer that is located between the first and second mirrors and propagates light in the first direction; and an optical element that is disposed on the first mirror and emits incident light in a direction different from an incident direction. The optical element emits (1) incident light entering from the optical waveguide layer through the first mirror in a direction whose first direction component is smaller than that of an incident direction of the incident light by refraction and/or diffraction or (2) incident light entering from the outside in a direction whose first direction component is larger than that of an incident direction by refraction and/or diffraction.

Abstract: A sensing device that is configured to determine a depth result based on time-of-flight value is introduced. The sensing device includes a delay locked loop circuit, a plurality of time-to-digital converters, a multiplexer and a digital integrator. The delay locked loop circuit is configured to output a plurality of delay clock signals through output terminals of the delay locked loop circuit. The plurality of time-to-digital converters include a plurality of latches. The multiplexer is configured to select a sub-group of m latches among the latches of the plurality of time-to-digital converters to be connected to the output terminals of the delay locked loop circuit according to a control signal.

Abstract: A passive altimeter system comprising an angle between a point and a central boresight that is determined from distortion parameters of a lens in an infrared sensor in a countermeasure system on a mobile platform wherein the infrared sensor captures a first image for determining a distance between the platform and one of (i) a ground surface and (ii) a target, and the passive altimeter system further comprising a dimensional distance between two points in the first image that is determined from a secondary source external to the countermeasure system, and a processor to triangulate the distance between the platform and one of (i) the ground surface and (ii) the target based on the dimensional distance and the angle.

Abstract: According to an aspect of an embodiment, operations may comprise (a) accessing a portion of a high definition (HD) map comprising a point cloud of a region through which a vehicle is driving, (b) identifying a base LIDAR from a plurality of LIDARs mounted on the vehicle, (c) for each of the LIDARs: receiving a LIDAR scan comprising a point cloud of the region, and determining a pose for the LIDAR, (d) for each LIDAR other than the base LIDAR, determining a transform for the LIDAR with respect to the base LIDAR, (e) repeating (c) to generate a plurality of samples, (f) for each of the samples, repeating (d) to determine a plurality of transforms for each LIDAR with respect to the base LIDAR, and (g) calibrating each of the LIDARs other than the base LIDAR by determining an aggregate transform for the LIDAR.

Abstract: In one embodiment, a system for correcting parallax error is provided. An image is received from a camera and a plurality of points is received from a LiDAR sensor. The points are placed on the image based on coordinates associated with each point. The image is divided into a plurality of cells by placing a grid over the image. For each cell, a minimum distance between the points in the cell and the camera is determined. For each cell, a margin is calculated based on the determined minimum distance. For each cell, points that have a distance from the camera that is greater than the minimum distance plus the margin are removed or deleted. The image and/or the remaining points are then used to provide one or more vehicle functions.

Abstract: Various aspects of the subject technology relate to a mobile support platform for vehicle sensor calibration. The mobile support platform includes a chassis, lift posts on the chassis configured to interface with one or more lift points on a vehicle and raise the vehicle, and a set of wheels mounted to the chassis configured to carry the vehicle through a calibration sequence.

Abstract: A radar sensor system is provided. The radar sensor system includes: at least two radar sensors each having at least one transmitter and at least one receiver, detection regions of the two radar sensors overlapping at least partially. The two radar sensors are situated at a defined distance from one another. Transmit signals of the two radar sensors are synchronizable in such a way that radiation of one radar sensor that was emitted by the respective other radar sensor and reflected by an object is capable of being evaluated by an evaluation device.

Abstract: A device for a radar sensor is disclosed, the device comprising: transmission circuitry configured to generate transmission signals with a linear frequency chirp modulation in a predetermined frequency band for output to a radar antenna; reception circuitry configured to receive reflection signals corresponding to reflection of the transmitted radar signals from one or more physical objects; and control circuitry configured to select a frequency range within said predetermined frequency band and/or a timing pattern for said transmission signals; wherein said device is configured to: receive a further signal from a further radar sensor; determine, from said further signal, a frequency range and/or timing pattern in use by said further radar sensor for transmission of further transmission signals; and select a frequency range within said predetermined frequency band and/or a timing pattern for said transmission signals which does not conflict with the frequency range and/or timing pattern of said further transm

Abstract: A radar data processing device and method is provided. The method generates a radar image map, predicts a region of interest (ROI) based on the generated radar image map, senses radar data with a radar sensor, identifies the sensed radar data based on steering information, adjusts the steering information based on the predicted ROI, and determines direction-of-arrival (DoA) information corresponding to the sensed radar data based on the adjusted steering information. The radar data processing device may locally adjust at least one of a range resolving power, an angular resolving power, or a Doppler velocity resolving power based on the ROI predicted based on a radar image map, and generate an accurate radar data processing result of a major region.

Abstract: A millimeter or mm-wave system includes transmission of a millimeter wave (mm-wave) radar signal by a transmitter to an object. The transmitted mm-wave radar signal may include at least two signal orientations, and in response to each signal orientation, the object reflects corresponding signal reflections. The signal reflections are detected and a determination is made as to location of the object.

Abstract: In an embodiment, a method of interference mitigation in a device that includes a millimeter-wave radar, includes transmitting radar signals with the millimeter-wave radar; receiving reflected radar signals with the millimeter-wave radar, the reflected radar signals corresponding to the transmitted radar signals; generating a first spectrogram based on the reflected radar signals; generating a second spectrogram indicative of movement of a non-target object; generating a compensated radar spectrogram based on the first and second spectrograms to compensate for an influence of the movement of the non-target object in the first spectrogram; and detecting a target or a property of the target based on the compensated radar spectrogram.

Abstract: A sensing system has transmitting antennas and receiving antennas. The placement of the sensing system is adapted to enhance the sensing system's ability to process the signals so as to provide information regarding the touch between fingertips, the pinching of fingers and the touching of objects.

Abstract: A method for detecting a horizontally buried linear object is provided, the horizontally buried linear object having a longitudinal extension. The method comprises moving, with a flying platform comprising a radar for synthetic aperture radar, SAR, vertical imaging, along a trajectory corresponding to a synthetic aperture. The method further comprises transmitting and receiving radar signals while moving along the trajectory corresponding to the synthetic aperture. The method also comprises forming a SAR image based on collected data representing radar signal reflections received from the ground. The method additionally comprises detecting one or more features in the formed SAR image relating to the horizontally buried linear object. Said trajectory is oriented in a direction substantially perpendicular to an expected orientation of the longitudinal extension of the horizontally buried object and traversing the horizontally buried object.

Abstract: An illustrative example embodiment of a computer implemented method for estimating a vertical profile of a road in front of or behind a host vehicle includes monitoring a detection point at a surrounding or preceding vehicle by a sensor on the host vehicle, determining at least one value for a height of the detection point with respect to a reference level at the host vehicle based on the elevation angle of the detection point, and estimating the vertical profile of the road based on the at least one value for the height of the detection point. An estimation of a height of the object with respect to a road surface may be corrected by the estimated vertical profile.

Abstract: According to an example aspect of the present invention, there is provided monitoring living facilities by a multichannel radar. Field of view of the radar is scanned within a frequency range from 30 to 300 GHz. Radar image is generated on the basis of results of the scanning. Separate sets of image units are identified from the radar image on the basis of the amplitude and/or phase information of the image units of the radar image. Presence of moving targets within the field of view of the radar is determined on the basis of phase and/or amplitude changes of the image units between scans.

Abstract: An imaging system including a transmitter configured to transmit a signal in a direction of a scene of interest. The transmitted signal is spatially and temporally incoherent at a point where the transmitted signal reaches the scene of interest. The system includes a receiver set including at least a first receiver and a second receiver. The first receiver and the second receiver are configured to receive a reflected signal. The reflected signal is a reflection of the transmitted signal from the scene of interest. The system further includes an active incoherent millimeter-wave image processor configured to obtain the reflected signal and reconstruct a scene based on the reflected signal. The system also includes a display device configured to display the scene.

Abstract: A radar image processing device includes a phase difference calculating unit for calculating a phase difference, which is the difference between the phases, with respect to the radio wave receiving points different from each other, of each of a plurality of reflected signals present in one pixel, and the rotation amount calculating unit that calculates each of the phase rotation amounts in a plurality of pixels included in the second radar image from the respective phase differences, in which the difference calculating unit rotates the phases in the plurality of pixels included in the second radar image on the basis of the respective rotation amounts, and calculates a difference between pixel values of pixels at corresponding pixel positions among the plurality of pixels included in the first radar image and the plurality of pixels obtained by the phase rotation included in the second radar image.

Abstract: A radar image processing device includes a phase difference calculating unit calculating a phase difference between phases with respect to a first and a second radio wave receiving points in each pixel at corresponding pixel positions among pixels in a first and a second suppression ranges, the first and the second suppression ranges being suppression ranges in a first and a second radar images capturing an observation area from the first and the second radio wave receiving points, respectively; and a rotation amount calculating unit calculating each phase rotation amount in the pixels in the second suppression range from each phase difference, wherein a difference calculating unit rotates phases in the pixels in the second suppression range based on the rotation amounts, and calculates a difference between pixel values at corresponding pixel position among the pixels in the first suppression range and phase-rotated pixels in the second suppression range.

Abstract: A computer-implemented method for identifying hazard objects around a vehicle includes several steps carried out by computer hardware components. The method includes detecting an object in an environment of the vehicle; determining an orientation parameter of the object, which represents a difference between an orientation of the object and an orientation of the vehicle; determining, on the basis of the orientation parameter, whether the object satisfies at least one hazard condition; and identifying the object as a hazard object if the at least one hazard condition is satisfied.

Abstract: 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.

Abstract: A ground-based radar system for weather sensing and aircraft tracking includes a ground-based radar that is configured to scan a volume of space associated with a particular aircraft for detecting a weather event in the volume of space, and an electronic control system that is configured to control the ground-based radar. The control system is adapted to track the particular aircraft via tracking data associated with the particular aircraft, and is adapted to detect the weather event via weather data associated with signals from the ground-based radar. The control system is configured to control the ground-based radar to adjust the scan of the volume of space in response to at least the tracking data associated with the particular aircraft being tracked. A geographically diverse radar network that includes multiple ground-based radar systems that communicate with each other also is provided.

Abstract: Systems and methods for performing operations based on acoustic locationing are described. An example device includes one or more microphones configured to sense sound waves propagating in an environment. The example device also includes one or more processors and one or more memories coupled to the one or more processors. The one or more memories store instructions that, when executed by the one or more processors, cause the device to recover sound wave information from the sensed sound waves, detect a presence of one or more persons in the environment based on the received sound wave information, determine an operation to be performed by one or more smart devices based on the detected presence of one or more persons, and instruct the one or more smart devices to perform the operation.

Abstract: There is provided a sensor device, a sensor module, and methods for determining a position of a light source. The sensor device comprises a plurality of sensor units, each sensor unit having a respective sensor area. The sensor device also comprises a mask disposed above the plurality of sensor units and arranged such that incident light from the light source will illuminate different regions of the sensor area of each one of the sensor units depending on the position of the light source relative to the sensor device. The position of the light source may therefore be determined based on which regions of the sensor area of the sensor units are illuminated. Further, each sensor unit is arranged to be controlled by a respective unit controller to determine the position of the light source.

Abstract: A method of Light Detection and Ranging (LIDAR) includes generating a first optical pulse that propagates towards a target and receiving an optical return signal reflected from the target resulting from the generated first optical pulse. The optical return signal is processed to determine a number of additional optical pulses desired to be propagated towards the target to meet a performance criteria. The determined number of additional optical pulses is then generated and propagated towards the target. The additional optical return signals reflected from the target are received and processed to obtain one or more LIDAR measurements.

Abstract: Examples relate to a method for determining distance information of an object using a Time of Flight (ToF) system and to a ToF system. The method includes emitting modulated light towards the object using a light source. The method includes measuring a reflection of the modulated light using a ToF sensor module. The reflection of the modulated light is generated by successive reflections of the modulated light by the object and by an additional reflective surface. The method includes determining the distance information of the object based on the measured reflection of the modulated light.

Abstract: A distance measuring method for use in a distance measuring device. The distance measuring device includes: a light source; a light-receiving element that receives light emitted from the light source, reflected by an object, and returned to the distance measuring device to generate an electric charge; a first capacitor and a second capacitor that store the electric charge; a transfer gate transistor that connects the light-receiving element and the first capacitor; and a reset transistor that connects the first capacitor and a voltage from an external source. The distance measuring method is a method of measuring a distance based on time taken by the light from the light source to return to the distance measuring device after being reflected by the object. The distance measuring method comprising: turning ON the transfer gate transistor; and turning OFF the reset transistor during a period in which the transfer gate transistor is ON.

Abstract: A LIDAR system includes a light source that outputs an outgoing LIDAR signal that includes multiple different channels. The LIDAR system also generate multiple composite light signals that each carries a signal couple and are each associated with a different one of the channels. A signal couple includes a reference signal and an associated comparative signal. The comparative signals each include light from the outgoing LIDAR signal that has been reflected by one or more objects located outside of the LIDAR system. The reference signals also include light from the outgoing LIDAR signal but also exclude light that has been reflected by any object located outside of the LIDAR system. There is a frequency differential between a frequency of the reference signal and a frequency of the associated comparative signal. The frequency differential includes a contribution from a frequency offset that is induced by electronics.

Abstract: A LIDAR system includes a light source that outputs an outgoing LIDAR signal that includes multiple different channels. The LIDAR system also generate multiple composite light signals that each carries a signal couple and are each associated with a different one of the channels. A signal couple includes a reference signal and an associated comparative signal. The comparative signals each include light from the outgoing LIDAR signal that has been reflected by one or more objects located outside of the LIDAR system. The reference signals also include light from the outgoing LIDAR signal but also exclude light that has been reflected by any object located outside of the LIDAR system. There is a frequency differential between a frequency of the reference signal and a frequency of the associated comparative signal. The frequency differential includes a contribution from a frequency offset that is induced by electronics.

Abstract: A system of generating a three-dimensional (3D) scan of an environment includes multiple 3D scanners including a first 3D scanner at respective first and second positions. The system further includes a controller coupled to the 3D scanners. The first 3D scanner acquires a first set of 3D coordinates, the first set of 3D coordinates having a first portion. The second 3D scanner acquires a second set of 3D coordinates, the second set of 3D coordinates having a second portion. The first portion and the second portion are simultaneously transmitted to the controller by the first 3D scanner and the second 3D scanner respectively, while the first set of 3D coordinates and the second set of 3D coordinates are being acquired. The controller registers the first portion and the second portion to each other while the first set of 3D coordinates and the second set of 3D coordinates are being acquired.

Abstract: A laser tracker measures three-dimensional (3D) coordinates of three non-collinear retroreflectors of a six degree-of-freedom (six-DOF) probe. A processor coupled to the laser tracker determines an orientation angle of the six-DOF probe based at least in part on the measured 3D coordinates of the three retroreflectors.

Abstract: A device for extracting depth information according to one embodiment of the present invention includes: a light outputting unit for outputting IR (Infrared) light; a light inputting unit for inputting light reflected from an object after outputting from the light outputting unit; a light adjusting unit for adjusting the angle of the light so as to radiate the light into a first area including the object, and then for adjusting the angle of the light so as to radiate the light into a second area; and a controlling unit for estimating the motion of the object by using at least one of the lights between the light inputted to the first area and the light inputted to the second area.

Abstract: A distance measurement device includes a light emission unit which is capable of emitting measurement light to be irradiated toward an object, a light reception unit configured to receive light from the object via an optical filter through which light having the same wavelength band as the measurement light passes, a distance calculation unit configured to calculate a distance to the object based on each charge amount obtained by accumulating a charge corresponding to the received light at a plurality of timings which are delayed by a predetermined phase with respect to emission timing of the measurement light, and an external light intensity calculation unit configured to calculate external light illuminance of external light illuminating the object at the spectral sensitivity of the optical filter based on the charge amounts acquired at the light reception unit and a reflectivity of the object.

Abstract: The invention concerns a TOF vision camera and proposes an electronic control circuit comprising a modulation circuit MOD for modulating the carrier clock signal, applying a camera-specific pulse position modulation function k(t) in order to output a modulation clock signal fe which is applied in the camera as a camera light source modulation signal S-LED, in order to control the emission of a series of light pulses SE and in order to synchronously control the N capture phases ST0, ST1, ST2, ST3 of the matrix image sensor CI of the camera. This modulation clock signal fe is such that the clock pulses fe have a constant pulse duration Tp, fixed by the carrier frequency fp, where Tp=½fp, and with a variable time interval Toff between two successive pulses, modulated by said modulation function k(t), said time interval being at least equal to the pulse duration, defining a modulation clock cycle ratio fe that is variable but less than or equal to 50%.

Abstract: An optical transmission unit (3) transmits an optical signal having a light intensity set as a Low level component of a pulse. An optical partial reflector (6) is provided on a path through which transmission light is transmitted from a circulator (5) to the atmosphere, and reflects the optical signal. A detection unit (11) performs coherent detection on reception light using, as local light, a signal in a Low level section in the optical signal reflected by the optical partial reflector (6).

Abstract: A point data acquisition unit acquires a set of point data indicating reflection points obtained by an optical sensor that receives reflected light of an emitted light beam reflected at the reflection points. A fog determination unit projects an overhead view of the reflection points indicated by the point data included in the set acquired by the point data acquisition unit onto a plane in depth and horizontal directions. The fog determination unit makes a decision as to whether in this case the reflection points are distributed in an arcuate shape around the optical sensor. The fog determination unit determines the density of fog based on a result of the decision.

Abstract: A first apparatus assembles assistance data for a satellite signal based positioning of a device, the assistance data comprising a satellite specific ionospheric model for at least one specific satellite and a time stamp that relates the satellite specific ionospheric model to particular ephemeris data for the at least one specific satellite. The assistance data is provided for transmission. A second apparatus receives the assistance data and computes a position of the device making use of the particular ephemeris data and of the satellite specific ionospheric model.

Abstract: Systems and methods are disclosed for performing manufacturing testing on an autonomous driving vehicle (ADV) sensor board. A sensor unit of the ADV includes a plurality of sensor I/O channels that provide information to the ADV perception and planning module, to navigate the ADV. An array of sensors is emulated on a sensor unit test board. The sensor unit includes a small software that manages the flow of testing the sensor unit. The sensor unit test board provides emulated sensor data for, e.g., GPS, LIDAR, RADAR, inertial measurement, one or more cameras, humidity, temperature, and pressure, and throttle, braking, and steering inputs. Each emulated sensor includes its own data validity checker to ensure that each sensor I/O channel of the sensor unit is tested.

Abstract: A receiver for null steering in a navigation or positioning system includes a controlled reception pattern antenna comprising elements, a switch array coupled to the elements of the controlled reception pattern antenna, and a receiver circuit. The receiver circuit is configured to receive an incoming radio frequency (RF) satellite signal from the switch array. The receiver circuit is configured to control the switch array to receive digitized samples, wherein each sample is in a respective time interval for each element of the CRPA elements. The receiver circuit is configured to apply a weight value to each sample and sum the samples to provide a null steering beam.

Abstract: A global positioning system (GPS) receiver may include an antenna configured to receive GPS signals from GPS satellites, a radio frequency (RF) front end configured to pre-process signals received by the antenna, a demodulator/converter configured to perform demodulation and analog-to-digital conversion of output signals received from the RF front end, a clock configured to provide a consistent clock signal, and a digital signal processor configured to receive the clock signal and make time and code measurements associated with determining a location of the GPS receiver based on the signals received by the antenna. The GPS receiver may be configured to eliminate reflected or indirect signals from the time and code measurements.

Abstract: An electronic device, a method, and a chipset for receiving global navigation satellite system (GNSS) signals are provided. An input/output (I/O) mixer including a first multiplier and a second multiplier downconverts a modulated radio frequency wave to an intermediate frequency. The modulated radio frequency wave is input to first inputs of the first multiplier and the second multiplier, and where an in-phase signal, from a first digital to analog converter (DAC), and a quadrature phase signal, from a second DAC, are input to second inputs of the first multiplier and the second multiplier, respectively. A mixer imbalance between the first mixer and the second mixer is reduced using direct current (DC) bias voltages from the first DAC and the second DAC. The DC bias voltages are determined based on a first and second DAC codes of the first and second DACs. The downconverted modulated radio frequency wave is filtered.

Abstract: This application discloses a positioning data processing method performed at a computing device. The method includes: obtaining a first positioning data sequence generated by a moving target chronologically; performing filtering processing on the first positioning data sequence according to a preset filtering algorithm to obtain a filtered data sequence, and performing adsorption calculation on the filtered data sequence to obtain an adsorption data sequence, the preset filtering algorithm being an algorithm obtained after a Kalman filtering algorithm is corrected according to the adsorption data sequence; outputting the filtered data sequence to obtain a second positioning data sequence of the moving target; and displaying a position corresponding to second positioning data in the second positioning data sequence.

Abstract: A system for estimating a receiver position with high integrity can include a remote server comprising: a reference station observation monitor configured to: receive a set of reference station observations associated with a set of reference stations, detect a predetermined event, and mitigate an effect of the predetermined event; a modeling engine configured to generate corrections; a reliability engine configured to validate the corrections; and a positioning engine comprising: an observation monitor configured to: receive a set of satellite observations from a set of global navigation satellites corresponding to at least one satellite constellation; detect a predetermined event; and mitigate an effect of the predetermined event; a carrier phase determination module configured to determine a carrier phase ambiguity of the set of satellite observations; and a position filter configured to estimate a position of the receiver.

Abstract: A system and method are provided for collaborative positioning of wireless nodes using pairwise range measurements and positioning technology type. The system includes a plurality of wireless nodes communicatively coupled to each other via a wireless network. The plurality of wireless nodes include a first wireless node that estimates a plurality of pairwise range estimates between the first wireless node and each neighboring wireless node of a set of neighboring wireless nodes. The first wireless node receives the current position estimate and the positioning technology type of each neighboring wireless node and assigns a weight value to each neighboring wireless node based on the positioning technology type. The first wireless node computes an initial position estimate for the first wireless node based on the assigned weight value, the current position estimate, and a pairwise range estimate and determines a final position estimate for the first wireless node.

Abstract: A scalable medical imaging detector arrangement is provided having interchangeable sensor tiles with fixed outer dimensions for a fixed or universal mechanical, electrical, and cooling interface. Different sensor tile types with different performance grades and production costs care configured with a common interface for coupling to the medical imaging device, while the rest of the imaging system can remain unchanged.