Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing for vehicular monitoring operations. In a first aspect, a method of monitoring includes receiving first image data from a first camera oriented in a first direction with a first field of view facing a user; receiving second image data from a second camera oriented in a second direction different from the first direction, the second camera having a second field of view corresponding to a field of view of the user; determining a set of regions of interest based on the second image data; determining a gaze direction of the user based on the first image data; and determining an attentiveness score based on correspondence between the set of regions of interest and the gaze direction. Other aspects and features are also claimed and described.

Abstract: A method and device for determining a time of arrival (TOA), a terminal device, and a non-transitory computer-readable storage medium are disclosed. The method may include: determining a detection start time on a correlation waveform based on a leading edge detection threshold; determining a noise threshold on the correlation waveform, and determining a quasi-TOA according to the detection start time; and determining the TOA according to data information in a target area of the correlation waveform and the noise threshold, where the target area is determined based on the quasi-TOA and a detection length.

Abstract: A system and method to improve the accuracy of the measurement of round trip delay in a high accuracy distance measurement (HADM) is disclosed. In one embodiment, the traditional parabolic estimation is used. However, an estimation error is used to compensate for the inaccuracy of the parabolic estimation. This correction may reduce the standard deviation of a measurement by 50% or more. In another embodiment, the parabolic estimation is not used; rather, a different estimation is used, such as an absolute value estimation. In some tests, the absolute value estimation improved the mean measurement value and reduced the standard deviation by 50%.

Abstract: A method for controlling at least one missile radar sensor moving along a trajectory with a missile. The missile radar sensor is set up to recognize a target object. The operating parameters for modulation of the missile radar sensor are adaptively adjusted during the movement along the trajectory depending on target object data on the target object.

Abstract: A method of training an artificial neural network (ANN), receives, from a base station, signal information for a radio frequency signal between the base station and a user equipment (UE). The artificial neural network is trained to determine a location of the UE and to map the environment based on the received signal information and in the absence of labeled data.

Abstract: Disclosed is an electronic device an electromagnetic (EM) sensing circuit for receiving an EM signal, and a processor operationally connected to the EM sensing circuit, wherein the processor is configured to obtain an user, activate, if the user input does not contain information specifying a target device, the EM sensing circuit, receive an EM signal from the target device, specify the information about the target device using an artificial intelligence model, and transmit input data based on the user input and the information about the target device so that the target device operates in response to the user input, and wherein the electronic device and the target device are registered with the same user account in the intelligence server, and the electronic device receives a path rule from the intelligence server and controls the target device so that the target device operates based on the path rule.

Abstract: An electronic device may include wireless circuitry having a set of two or more antennas coupled to voltage standing wave ratio (VSWR) sensors. The VSWR sensors may gather VSWR measurements from radio-frequency signals transmitted using the set of antennas. The antennas may be disposed on one or more substrates and/or may be formed from conductive portions of a housing. Control circuitry may process the VSWR measurements to identify the ranges between each of the antennas in the set of antennas and an external object. The control circuitry may process the ranges to identify an angular location of the external object with respect to the device. The control circuitry may adjust subsequent communications based, adjust the direction of a signal beam produced by a phased antenna array, identify a user input, or perform any other desired operations based on the angular location.

Abstract: In an object determination apparatus, a same-object determiner is configured to make a same-object determination as to whether a first object ahead of a subject vehicle that is a vehicle carrying the object determination apparatus, detected by an electromagnetic wave sensor, and a second object ahead of the subject vehicle, detected by an image sensor, are the same object. A candidate-object identifier is configured to identify a candidate for the first object, between which and the second object the same-object determination is to be made, as a candidate object. A candidate-object selector is configured to, in response to there being a plurality of the candidate objects, preferentially select, from the plurality of candidate objects, a candidate object whose likelihood for the identified object type of the second object is higher than a predetermined likelihood threshold, as a candidate object to be subjected to the same-object determination.

Abstract: Disclosed are techniques for environment sensing. In an aspect, a user equipment (UE) performs a monostatic sensing operation to detect one or more characteristics of one or more objects in an environment of the UE, transmits, to a network entity, based on detection of the one or more characteristics of the one or more objects, a request for one or more network nodes to transmit one or more wireless sensing signals to assist the UE to perform a bistatic sensing operation, and performs the bistatic sensing operation based on reception of the one or more wireless sensing signals to detect additional characteristics of the one or more objects.

Abstract: A sensing method includes: (a) performing first sensing to detect presence or absence of the object in a specific detection area using a first sensor signal received by a radar sensor from the specific detection area; (b) when the presence of the object in the specific detection area is detected by the first sensing in (a), continuing the first sensing and performing second sensing to detect a motion of the object using a second sensor signal transmitted from the radar sensor to the specific detection area, the second sensor signal having a sensing rate higher than a sensing rate of the first sensor signal; and (c) when the absence of the object in the specific detection area is detected by the first sensing in (b), stopping the second sensing and continuing the first sensing.

Abstract: The present disclosure relates to a network device, in particular a User Equipment (UE) or a base station (BS), of a group of network devices involved in a cooperative passive positioning (CPP) operation comprising at least two network devices for detecting and positioning at least one target object. One example network device is configured to apply an operation mode from one or more of: initiating network device for initiating a CPP measurement, transmitting network device for transmitting a radio signal to scan for an environment of the network device, receiving network device for receiving a reflection signal based on a reflection of the radio signal from the at least one target object, and data fusion network device for detecting and positioning the at least one target object based on at least one of the reflection signal or a Line-of-Sight (LOS) signal.

Abstract: A method for detecting receivers includes a step of detecting a receiver, in which step a general controller detects an adjustable receiver when a general antenna receives a secondary wave emitted by the adjustable receiver, followed by a reconfiguration step in which the general controller commands a controller of the detected adjustable receiver to switch to an interaction mode in which the impedance of the adjustable receiver is alternated between a first configuration impedance and a second configuration impedance in order to detect other receivers. The reconfiguration step is of a duration that is an order of magnitude higher than the duration of each alternation of the first and second configuration impedances.

Abstract: An autonomous vehicle (AV) includes a radar sensor system and a computing system that computes velocities of an object in a driving environment of the AV based upon radar data that is representative of radar returns received by the radar sensor system. The AV can be configured to compute a first velocity of the object based upon first radar data that is representative of the radar return from a first time to a second time. The AV can further be configured to compute a second velocity of the object based upon second radar data that includes at least a portion of the first radar data and further includes additional radar data representative of a radar return received subsequent to the second time. The AV can further be configured to control one of a propulsion system, a steering system, or a braking system to effectuate motion of the AV based upon the computed velocities.

Abstract: An ultra-wideband (UWB) system includes an enclosure, and an ultra-wideband (UWB) transmitter array within the enclosure, the UWB transmitter array having a transmitter component that transmits electromagnetic waves toward a region-of-interest (ROI), the UWB array having a receiver component that receives reflected electromagnetic waves from objects in the ROI and generates object data. The system further includes a radar absorbing material positioned to receive electromagnetic waves transmitted from the transmitter component that are not directed toward the ROI, and a pattern recognition device having a processor configured to process the electromagnetic waves reflected from the ROI and to determine whether an object-of-interest (OOI) pattern is recognized within the object data.

Abstract: Embodiments of this application provide an EIRP control method and a communications apparatus. In this solution, an EIRP threshold of a spatial grid may be determined, where the EIRP threshold of the spatial grid is related to a safety distance of the spatial grid; and a plurality of beams are controlled, so that a total EIRP of the plurality of beams in the spatial grid is less than or equal to the EIRP threshold. According to the foregoing solution, a total EIRP of each spatial grid may be controlled, at a granularity of a spatial grid, to not exceed an EIRP threshold of the spatial grid, so that deployment of a MIMO access network device satisfies an EMF strength requirement specified by each country/region.

Abstract: Described is a multiple-camera system and process for determining an item involved in an event. For example, when a user picks an item or places an item at an inventory location, image information for the item may be obtained and processed to identify the item involved in the event and associate that item with the user.

Abstract: Disclosed are techniques for using ranging signals to determine a position of a pedestrian user equipment (P-UE). In an aspect, a UE receives a plurality of ranging signals transmitted by one or more UEs, measures one or more properties of each of the plurality of ranging signals, and calculates an estimate of the position of the P-UE based on the one or more properties of each of the plurality of ranging signals. In an aspect, the P-UE transmits a plurality of ranging signals, receives a first message and a second message from first and second vehicle UEs (V-UEs), the first and second messages including first and second estimated positions of the P-UE and associated first and second confidences, and calculates an estimate of the position of the P-UE based on the first estimated position, the first confidence, the second estimated position, the second confidence, or a combination thereof.

Abstract: A computer implemented method for determining a direction of arrival of a radar detection comprises the following steps carried out by computer hardware components: acquiring a complex-valued beamvector of the radar detection; processing the complex-valued beamvector by a machine learning module in the complex domain; and obtaining the direction of arrival as an output of the machine learning module.

Abstract: This application discloses a frequency modulated continuous wave LiDAR and an autonomous driving device. The LiDAR includes a light source module, a silicon photonic chip and a refraction module, and the silicon photonic chip includes a light splitting module, a coupling module and multiple transceiving units. The light splitting module receives a laser beam coupled into the silicon photonic chip, divides the laser beam into multiple beams of detection light, and transmits the multiple beams of detection light to corresponding multiple transceiving units, and the transceiving units emit the received detection light outward. The refraction module is configured to refract the detection light emitted by the multiple transceiving units to emit multiple beams of detection light in a staggered manner in a second direction, where the second direction is a direction perpendicular to the terminal surface of the transceiving unit.

Abstract: Techniques are discussed herein for controlling autonomous vehicles within a driving environment, including generating and using bounding contours associated with objects detected in the environment. Image data may be captured and analyzed to identify and/or classify objects within the environment. Image-based and/or lidar-based techniques may be used to determine depth data associated with the objects, and a bounding contour may be determined based on the object boundaries and associated depth data. An autonomous vehicle may use the bounding contours of objects within the environment to classify the objects, predict the positions, poses, and trajectories of the objects, and determine trajectories and perform other vehicle control actions while safely navigating the environment.

Abstract: An antenna apparatus includes multiple antenna elements each performing at least one of transmission and reception of radio waves. The coverage areas of main lobes of radiation patterns of the multiple antenna elements are overlapped with each other and the shapes of side lobes thereof are varied among the multiple antenna elements. With this configuration, it is possible to discriminate and acquire the signal of the radio waves coming from the coverage areas of the main lobes of the antenna from the signal of the radio waves coming from the outside of the coverage areas.

Abstract: Methods, systems, and media for performing personalized actions on mobile devices associated with a media presentation device are provided.

Abstract: Systems and methods for detecting dielectric changes in matter are provided. The system includes a data collection array to collect microwave scattering data and a machine learning device. The machine learning device is configured to receive the microwave scattering data, patient information, and imaging modality data corresponding to at least one of a presence of disease, absence of disease, or one or more disease features; analyze the microwave scattering data, patient information, and imaging modality data; output at least one of a predicted disease state and predicted features based on the analyzed microwave scattering data, patient information, and imaging modality data; compare the imaging modality data corresponding to the at least one of a presence of disease, absence of disease, or one or more disease features to the predicted disease state or predicted features; and use the comparison as an input into the machine learning device.

Abstract: Systems, methods, and computer-readable storage media for generating, transmitting, and utilizing a composite radar and communication waveform are disclosed. The composite radar and communication waveform may facilitate radar detection and data communication operations and may be generated from a frequency modulated (FM) radar waveform and a communication signal. In an aspect, the composite radar and communication waveform may be generated by iteratively executing a shaping process against the FM radar waveform and the communication signal until a first stop criterion is satisfied to produce an initial composite radar and communication waveform having the communication signal embedded therein, and then iteratively executing an enhancement process against the initial composite radar waveform and the communication signal until a second stop criterion is satisfied to produce a final composite radar and communication waveform suitable for both radar detection and data communication operations.

Abstract: The target detection accuracy of a radar apparatus is improved. The radar apparatus includes signal generation circuitry, which, in operation, generates a first transmission signal and a second transmission signal, and transmission circuitry, which, in operation, transmits a multiplexed signal resulting from code-multiplexing the first transmission signal and the second transmission signal, wherein a modulation frequency of the first transmission signal at a first timing is identical to a modulation frequency of the second transmission signal at a second timing that is later than the first timing.

Abstract: Methods and systems for estimating a distance to an object are described. In an example, a device can receive a reflected signal of a modulated signal being used in a wireless transmission of data. The reflected signal can be a reflection of the modulated signal from at least one object. The device can estimate a distance to the at least one object based on the modulated signal and the reflected signal. Further, the device can use the estimated distance to image a scenery including the at least one object.

Abstract: This disclosure describes techniques for detecting multipath radar returns and modifying radar data. A vehicle may use radar devices to receive radar data while traversing within an environment. The vehicle may process the radar data using a virtual array based on an arraignment of the antennae within an aperture of the radar device. Using the virtual array, the vehicle may determine an elevated noise level that may be indicative of a multipath radar return. Based on the elevated noise level, the vehicle may determine a second virtual array associated with multipath radar returns, and may process the radar data using the second virtual array. Based on determining that the noise level associated with the second virtual array is lower than the initial noise level, the vehicle may determine that the radar data includes a multipath radar return, and may modify the radar data to correct or mitigate the error caused by the multipath return.

Abstract: A smart clothing and backpack system enables a user to perform many actions. The smart clothing includes circuitry and/or is made of a conductive material enclosed in an insulation material. The smart clothing includes a set of sensors configured to detect body information. The smart clothing includes multiple electromagnets configured to adjust a size of the smart clothing. The electromagnets are configured to have an increased attraction to make the smart clothing tighter on the body of the user. The system includes a smart backpack to communicate with the smart clothing. The smart backpack includes a Radio Frequency IDentification (RFID) reader configured to detect RFID tags on or in items within the smart backpack. Many other features are able to be implemented with the smart clothing and backpack system. The smart clothing is able to include a wetsuit configured to communicate with a surfboard and/or a backpack.

Abstract: The method and apparatus for a remote weapon station or incorporated into manually-aimed weapons. The methodology requires use of a muzzle velocity sensor that refines the aiming of the second and subsequent fires or volleys fired from weapon systems. When firing the first volley a weapon uses an estimated velocity and, at firing, the muzzle velocity of a projectile is measured. When firing the second volley a weapon's fire control calculates an aiming point using the measured velocity of the first volley.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node may determine a reference location associated with a virtual image corresponding to a target area. The network node may transmit a radio frequency signal, wherein the radio frequency signal is beamformed based at least in part on the reference location to direct the radio frequency signal to the target area. Numerous other aspects are described.

Abstract: An apparatus, including processing unit (PU) cores and computer readable storage devices storing machine instructions for determining a distance between a target object and a radar sensor circuit. The PU cores receive a beat signal generated by the radar sensor circuit and compensate for a phase difference between the received beat signal and a reconstruction of the received beat signal to obtain a phase compensated beat signal. The phase compensated beat signal is then filtered to remove spurious reflections by demodulating the phase compensated beat signal using an estimated frequency of the phase compensated beat signal. The PU cores then apply a low pass filter to the demodulated phase compensated beat signal, resulting in a modified beat signal. The PU cores then determine the distance between the target object and the radar sensor circuit using the modified beat signal.

Abstract: Technologies and techniques for vehicle perception. A first contour of a current image a dna second contour of a next image are determined relative to an optical center. The current image is scaled to the next image relative to the optical center, wherein the scaling includes applying a scale vector to the first contour. A frame offset vector is determined, and the second contour is translated, based on the frame offset vector and the scale vector, to align the translated second contour to a focus of expansion. An image velocity is determined, based on the first contour and the translated second contour, wherein the image velocity is used to determine object movement from the image data.

Abstract: To provide an object position detection system in which positions of detection target objects are determined with accuracy, in which pairing accuracy increases, and in which accuracy of detecting the detection target objects increases. Radar devices 2A and 2B receive, with respective reception antennas 31, reception waves obtained by transmission waves that have been transmitted from respective transmission antennas 25 being reflected back from a plurality of targets T1, T2, T3, T4, . . . , and Tm and calculate relative distances to the plurality of targets T1, T2, T3, T4, . . . , and Tm from beat frequencies between the transmission waves and the reception waves without using pieces of phase information of the transmission waves and the reception waves. An arithmetic device 4 includes a pairing means and a position calculation means.

Abstract: A portable radar system that may leverage the processing power, input and/or display functionality in mobile computing devices. Some examples of mobile computing devices may include mobile phones, tablet computers, laptop computers and similar devices. The radar system of this disclosure may include a wired or wireless interface to communicate with the mobile computing device, or similar device that includes a display. The radar system may be configured with an open set of instructions for interacting with an application executing on the mobile computing device to accept control inputs as well as output signals that the application may interpret and display, such as target detection and tracking. The radar system may consume less power than other radar systems. The radar system of this disclosure may be used for a wide variety of applications by consumers, military, law enforcement and commercial use.

Abstract: A method includes transmitting a first transmitted signal corresponding to a first range rate window size; receiving a first received signal; determining a first detected range rate of an object based on the first received signal; transmitting a second transmitted signal corresponding to a second range rate window size; receiving a second received signal; determining a second detected range rate of the object based on the second received signal; computing a first range rate window index based on a first range rate window index difference; in accordance with a determination that the first range rate window index meets predefined criteria, computing an estimated range rate based on the first range rate window index difference; and in accordance with a determination that the first range rate window index does not meet the predefined criteria, foregoing computing an estimated range rate based on the first range rate window index difference.

Abstract: According to one embodiment, an antenna device comprises an antenna panel including a first transmission antenna, a first reception antenna, and a second reception antenna, and a rotation device configured to rotate the antenna panel. A first radio wave is irradiated from the first transmission antenna when a rotation angle of the antenna panel is a first angle and a reflected radio wave of the first radio wave is received by the first reception antenna and the second reception antenna. A second radio wave is irradiated from the first transmission antenna when the rotation angle is a second angle and a reflected radio wave of the second radio wave is received by the first reception antenna and the second reception antenna.

Abstract: A device comprising circuitry configured to: obtain radar signal measurements simultaneously acquired by two or more radar sensors having overlapping fields of view, derive range information of one or more potential targets from samples of radar signal measurements of said two or more radar sensors acquired at the same time or during the same time interval, the range information of a single sample representing a ring segment of potential positions of a potential target at a particular range from the respective radar sensor in its field of view, determine intersection points of ring segments of the derived range information, determine a region of the scene having one of the highest densities of intersection points, select a ring segment per sensor that goes through the selected region, and determine the most likely target position of the potential target from the derived range information of the selected ring segments.

Abstract: A depth image generation method includes obtaining a first depth image, based on a binocular image, obtaining a second depth image, using a depth camera, and obtaining a final depth image by performing image fusion on the obtained first depth image and the obtained second depth image.

Abstract: The subject matter described herein includes a roadway stud control system including a local stud control system positioned along a first section of a roadway, a plurality of roadway studs, each roadway stud disposed on a surface of the first section of the roadway and communicably coupled to the local stud control system, wherein the local stud control system is configured to communicate a control signal to control at least one aspect of the plurality of roadway studs.

Abstract: An apparatus for estimating the number of targets including a radar signal receiver configured to receive a radar signal that belongs to a detection signal transmitted by a radar and that is reflected by an object on the ground, and a controller configured to learn the number of targets by processing the received radar signal and to estimate the number of targets by processing a newly received radar signal based on the learned information.

Abstract: Techniques and apparatuses are described that implement a high-fidelity radar simulator that performs operations associated with a radar system's hardware and/or software. The radar simulator can account for non-ideal characteristics within the radar system or environment and have an ability to process data from a variety of electromagnetic (EM) simulators. By using the radar simulator, an EM simulator can operate without specific information regarding the radar system's antenna response or signal generation. In this manner, the EM simulator can be decoupled from the radar system's design and operational configuration. Furthermore, the radar simulator can use the same environmental response data generated by the EM simulator to estimate performances of multiple radar systems. Use of the high-fidelity radar simulator enables problems to be efficiently discovered during design, integration, and testing phases of the radar system prior to performing a live test.

Abstract: Systems and methods for detecting and protecting against phase manipulation during AoA or AoD operations are disclosed. For AoA operations, the network device receiving the constant tone extension (CTE) generates an antenna switching pattern, which may be randomly generated. The network device then receives the CTE using a plurality of antenna elements. In one embodiment, the network device compares the phase of portions of the CTE signal received that utilize the same antenna element. If the phase of these portions differs by more than a threshold, the network device detects a malicious attack and acts accordingly. In another embodiment, if the AoA algorithm cannot determine the angle of arrival, the network device detects a malicious attack and acts accordingly. For angle of departure operations, the network device that transmits the CTE signal generates the antenna switching pattern and transmits it to the position engine, which performs the comparisons described above.

Abstract: A radar system for tracking UAVs and other low flying objects utilizing wireless networking equipment is provided. The system is implemented as a distributed low altitude radar system where transmitting antennas are coupled with the wireless networking equipment to radiate signals in a skyward direction. A receiving antenna or array receives signals radiated from the transmitting antenna, and in particular, signals or echoes reflected from the object in the skyward detection region. One or more processing components is electronically coupled with the wireless networking equipment and receiving antenna to receive and manipulate signal information to provide recognition of and track low flying objects and their movement within the coverage region. The system may provide detection of objects throughout a plurality of regions by networking regional nodes, and aggregating the information to detect and track UAVs and other low flying objects as they move within the detection regions.

Abstract: A method of automatically geolocating a visual target. The method comprises operating a flying vehicle in a search region including the visual target. The method further includes affirmatively identifying a visual target in an aerial photograph of the search region captured by the flying vehicle. The method further includes automatically correlating the aerial photograph of the search region to a geo-tagged photograph of the search region, wherein the geo-tagged photograph is labelled with pre-defined geospatial coordinates. Based on such automatic correlation, a geospatial coordinate is determined for the visual target in the search region.

Abstract: A method for controlling a radar apparatus that detects an object using frequency modulation includes: performing first reception of a radio wave in a state where transmission of a radio wave for detecting the object is stopped, to obtain a first reception signal; performing second reception of a radio wave in a state where the transmission of the radio wave is stopped, to obtain a second reception signal, after the performing of the first reception; acquiring a strength of a difference signal between the first reception signal and the second reception signal; comparing the strength with a threshold value; and starting the transmission of the radio wave in a case where the strength is equal to or less than the first threshold value in the comparison.

Abstract: Systems and methods are provided to provide a steering indicator to a driver of a vehicle. It is determined whether a first obstacle is in a forward path of the vehicle and whether a second obstacle is present at a side of the vehicle. In response to (a) determining the first obstacle is in the forward path and (b) determining whether the second obstacle is present at the one or more sides of the vehicle, a suggested steering action indicator indicating one or more movements for the vehicle to avoid the first obstacle is provided to a user interface of the vehicle.

Abstract: Service cognizant radio role assignments may be provided. A computing device may receive a beacon message associated with a tag. Then, based on information derived from the beacon message, an optimum radio in a network may be determined to monitor the tag. The optimum radio may be associated with an Access Point (AP) comprising one of a plurality of APs in the network. The optimum radio associated with the AP in the network may then be provisioned to monitor the tag.

Abstract: A system and method for locating radio-frequency identification tags within a predetermined area. The method can incorporate sub-threshold superposition response mapping techniques, alone, or in combination with other methods for locating radio-frequency identification tags such as but not limited to time differential on arrival (TDOA), frequency domain phase difference on arrival (FD-PDOA), and radio signal strength indication (RSSI). The system can include a plurality of antennas dispersed in a predefined area; one or more radio-frequency identification tags; a radio-frequency transceiver in communication with said antennas; a phase modulator coupled to the radio-frequency transceiver; and a system controller in communication with said transceiver and said phase modulator. Calibration techniques can be employed to map constructive interference zones for improved accuracy.

Abstract: Described is a multiple-camera system and process for determining an item involved in an event. For example, when a user picks an item or places an item at an inventory location, image information for the item may be obtained and processed to identify the item involved in the event and associate that item with the user.

Abstract: In one embodiment, a method includes receiving a first signal associated with a first multipath effect from a first radar installed on a vehicle at a first height, receiving a second signal associated with a second multipath effect from a second radar installed on the vehicle at a second height, wherein the first height and the second height are different, wherein a difference between the first height and the second height is configured to generate a mitigation of the first multipath effect and the second multipath effect, and wherein the first radar and the second radar have an overlapping field of view, and determining that a target exists in the overlapping field of view based on the first signal and the second signal.