Abstract: In certain embodiments, higher-level octree telepresence data for a point cloud of a 3D object is transmitted using a reliable transport mechanism that ensures successful transmission, e.g., via re-transmission of dropped packets, and lower-level octree data for the point cloud is transmitted using a non-reliable transport mechanism that does not guarantee successful transmission. When the lower-level data is contained in one or more of the bottom-most layers in the octree representation, at least some of the point cloud might be able to be reconstructed using successfully received data even when some lower-level data is lost and not re-transmitted. Using non-reliable transmission can reduce latency by avoiding time-consuming re-transmissions. The resulting reconstructed point cloud will be incomplete, but it might be sufficiently complete to provide satisfactory user experience with lower latency that using reliable transport for the entire octree.

Abstract: A scene encoding subsystem for multi-user mixed-reality telepresence has at least one encoder that processes signals from a plurality of cameras. A scene manager determines relative priorities of the cameras and allocates CPU resources and GPU resources in the at least one encoder based on the relative priorities of the cameras, where (i) greater CPU resources are allocated to higher priority cameras than to lower priority cameras and (ii) greater GPU resources are allocated to lower priority cameras than to higher priority cameras. The scene manager instructs a CPU to process a skipped frame using a bounding-box expansion algorithm based on object motion determined using GPU object detection and segmentation processing of previous non-skipped frames. The scene manager multiplicatively decreases and additively increases CPU and GPU resources for a set of multiple cameras based on performance of any one camera in the set.

Abstract: Systems and methods for automatically constructing a 3-dimensional (3D) model of a feature using a drone. The method includes generating a reconnaissance flight path that minimizes battery usage by the drone, and conducting a discovery flight that uses the reconnaissance flight path. The method further includes transmitting reconnaissance laser sensor data from the drone to a processing system for target identification, and selecting a target feature for 3D model construction based on the reconnaissance laser sensor data. The method further includes scanning the target feature using a laser sensor, transmitting laser sensor data for the target feature having a minimum point density from the drone to the processing system for 3D model construction, and constructing the 3D model from the minimum point density laser sensor data.

Abstract: A scene encoding subsystem for multi-user mixed-reality telepresence has at least one encoder that processes signals from a plurality of cameras. A scene manager determines relative priorities of the cameras and allocates CPU resources and GPU resources in the at least one encoder based on the relative priorities of the cameras, where (i) greater CPU resources are allocated to higher priority cameras than to lower priority cameras and (ii) greater GPU resources are allocated to lower priority cameras than to higher priority cameras. The scene manager instructs a CPU to process a skipped frame using a bounding-box expansion algorithm based on object motion determined using GPU object detection and segmentation processing of previous non-skipped frames. The scene manager multiplicatively decreases and additively increases CPU and GPU resources for a set of multiple cameras based on performance of any one camera in the set.

Abstract: A method is provided for beam management. The method includes obtaining, by a Light Detection and Radar (LiDAR) sensor having one or more LiDAR cameras performing ray-tracing, out-of-band infrared measurements of a surrounding environment. The method further includes selecting, by a base station, a transmission and reception beam pair for use in the surrounding environment from a plurality of available transmission and reception beam pairs responsive to the out-of-band measurements of the surrounding environment.

Abstract: In certain embodiments, higher-level octree telepresence data for a point cloud of a 3D object is transmitted using a reliable transport mechanism that ensures successful transmission, e.g., via re-transmission of dropped packets, and lower-level octree data for the point cloud is transmitted using a non-reliable transport mechanism that does not guarantee successful transmission. When the lower-level data is contained in one or more of the bottom-most layers in the octree representation, at least some of the point cloud might be able to be reconstructed using successfully received data even when some lower-level data is lost and not re-transmitted. Using non-reliable transmission can reduce latency by avoiding time-consuming re-transmissions. The resulting reconstructed point cloud will be incomplete, but it might be sufficiently complete to provide satisfactory user experience with lower latency that using reliable transport for the entire octree.

Abstract: Methods and systems for object localization include identifying associations between measurements taken from radar sensors. A shared coordinate system for the radar sensors is determined based the identified associations, including identifying translations and rotations between local coordinate systems of the radar sensors. A position of an object in the shared coordinate systems is determined, based on measurements of the object by the radar sensors. An action is performed responsive to the determined position of the object.

Abstract: Systems and methods for self-checkout at a point-of-sale are provided. The system and method includes using a plurality of radio frequency identification (RFID) transceivers within a store, and an RFID reader configured to receive an RFID code from an RFID tag activated by the plurality of radio frequency identification (RFID) transceivers. The system and method also includes using a classifier configured to determine whether the RFID tag is inside or outside a designated area, wherein the classifier is trained in a manner that a number of items incorrectly identified as being purchased is below a threshold to minimize customer dissatisfaction (CDS) determined as the ratio of the value of items charged to the customer but not purchased by a customer to the total charge to the customer.

Abstract: A method for product tagging is presented including emitting, by at least one RF backscatter transmitter, a dual-tone Radio Frequency (RF) signal embedded within a standardized RF signal on a frequency channel, reflecting and frequency shifting, by a passive RF backscatter tag associated with a product, the dual-tone RF signal to a different frequency channel, and reading, by at least one RF backscatter receiver, the product on the different frequency channel by detecting a distributed ambient backscatter signal generated by a reflection and frequency shifting of the dual-tone RF signal by the passive RF backscatter tag.

Abstract: Systems and methods for is provided for self-checkout at a point-of-sale. The system and method includes a plurality of radio frequency identification (RFID) transceivers, an RFID reader, wherein the RFID reader is configured to receive a response with an RFID code from each of a plurality of RFID tags activated simultaneously by at least one of the plurality of radio frequency identification (RFID) transceivers, and decode the RFID code from the response received from each of the RFID tags, and a classifier configured to determine whether each of the plurality of RFID tags is inside or outside a walk-through checkout area inside a store, wherein the system calculates an amount charged to a customer based on the cost of the items identified as within the walk-through checkout area.

Abstract: A method is provided for beam management. The method includes obtaining, by a Light Detection and Radar (LiDAR) sensor having one or more LiDAR cameras performing ray-tracing, out-of-band infrared measurements of a surrounding environment. The method further includes selecting, by a base station, a transmission and reception beam pair for use in the surrounding environment from a plurality of available transmission and reception beam pairs responsive to the out-of-band measurements of the surrounding environment.

Abstract: Systems and methods implementing a multi-unmanned aerial vehicle (UAV) wireless communication network are provided. The system includes application UAVs that wirelessly provide applications. The system includes relay UAVs that connect the application UAVs to a ground station. The ground station connects to a wireless backhaul network. Processor devices determine mobility for the application UAVs based on application-specific objectives. The processor devices also determine mobility for the relay UAVs based on forming and maintaining the wireless backhaul network.

Abstract: Systems and methods implementing a multi-unmanned aerial vehicle (UAV) wireless communication network are provided. The system includes application UAVs that wirelessly provide applications. The system includes relay UAVs that connect the application UAVs to a ground station. The ground station connects to a wireless backhaul network. Processor devices determine mobility for the application UAVs based on application-specific objectives. The processor devices also determine mobility for the relay UAVs based on forming and maintaining the wireless backhaul network.

Abstract: Systems and methods for automatically constructing a 3-dimensional (3D) model of a feature using a drone. The method includes generating a reconnaissance flight path that minimizes battery usage by the drone, and conducting a discovery flight that uses the reconnaissance flight path. The method further includes transmitting reconnaissance laser sensor data from the drone to a processing system for target identification, and selecting a target feature for 3D model construction based on the reconnaissance laser sensor data. The method further includes scanning the target feature using a laser sensor, transmitting laser sensor data for the target feature having a minimum point density from the drone to the processing system for 3D model construction, and constructing the 3D model from the minimum point density laser sensor data.

Abstract: A method for product tagging is presented including emitting, by at least one RF backscatter transmitter, a dual-tone Radio Frequency (RF) signal embedded within a standardized RF signal on a frequency channel, reflecting and frequency shifting, by a passive RF backscatter tag associated with a product, the dual-tone RF signal to a different frequency channel, and reading, by at least one RF backscatter receiver, the product on the different frequency channel by detecting a distributed ambient backscatter signal generated by a reflection and frequency shifting of the dual-tone RF signal by the passive RF backscatter tag.

Abstract: Systems and methods for self-checkout at a point-of-sale are provided. The system and method includes using a plurality of radio frequency identification (RFID) transceivers within a store, and an RFID reader configured to receive an RFID code from an RFID tag activated by the plurality of radio frequency identification (RFID) transceivers. The system and method also includes using a classifier configured to determine whether the RFID tag is inside or outside a designated area, wherein the classifier is trained in a manner that a number of items incorrectly identified as being purchased is below a threshold to minimize customer dissatisfaction (CDS) determined as the ratio of the value of items charged to the customer but not purchased by a customer to the total charge to the customer.

Abstract: Systems and methods for is provided for self-checkout at a point-of-sale. The system and method includes a plurality of radio frequency identification (RFID) transceivers, an RFID reader, wherein the RFID reader is configured to receive a response with an RFID code from each of a plurality of RFID tags activated simultaneously by at least one of the plurality of radio frequency identification (RFID) transceivers, and decode the RFID code from the response received from each of the RFID tags, and a classifier configured to determine whether each of the plurality of RFID tags is inside or outside a walk-through checkout area inside a store, wherein the system calculates an amount charged to a customer based on the cost of the items identified as within the walk-through checkout area.

Abstract: A computer-implemented method, system, and computer program product are provided for positioning an unmanned autonomous vehicle (UAV) in a long term evolution radio access network. The method includes acquiring, by a processor-device, a position of the UAV with a global position system. The method also includes determining, by the processor-device, physical distances from the UAV to each of a plurality of user equipment (UE) responsive to a time-of-flight from the UAV to each of the plurality of UE. The method additionally includes generating, by the processor-device, radio environment maps for each of the plurality of UE with signal-to-noise ratios (SNR) from each of the plurality of UEs to the UAV. The method further includes selecting, by the processor-device, a determined position for the UAV as a position with a minimum SNR in the REMs. The method also includes commanding the UAV to move to the determined position.

Abstract: A product tagging system is provided. The product tagging system includes at least one RF backscatter transmitter configured to emit (i) a main carrier RF signal, and (ii) Radio Frequency (RF) signals on two frequencies whose summation forms a twin carrier RF signal. The product tagging system further includes a passive RF backscatter tag associated with a product and configured to reflect and frequency shift the main carrier RF signal to a different frequency using the twin carrier RF signal. The product tagging system also includes at least one RF backscatter receiver configured to read the product on the different frequency by detecting a distributed ambient backscatter signal generated by a reflection and frequency shifting of the main carrier RF signal by the passive RF backscatter tag.

Abstract: A product tagging system is provided. The product tagging system includes at least one RF backscatter transmitter configured to emit a Radio Frequency (RF) signal on a frequency. The product tagging system further includes a passive RF backscatter tag associated with a product and configured to reflect and frequency shift the RF signal to a different frequency. The product tagging system also includes at least one RF backscatter receiver configured to read the product on the different frequency by detecting a distributed ambient backscatter signal generated by a reflection and frequency shifting of the RF signal by the passive RF backscatter tag.