Abstract: Certain aspects of the present disclosure provide techniques and apparatus for performing mathematical operations on processing units based on data in the modulo space. An example method includes receiving a binary-space input to process (e.g., using a neural network or other processing system). The binary-space input is converted into a modulo-space input based on a set of coprimes defined for executing operations in a modulo space. A modulo-space result is generated through one or more modulo-space multiply-and-accumulate (MAC) units based on the modulo-space input. The modulo-space result is converted into a binary-space result, and the binary-space result is output.

Abstract: Methods, systems, computer-readable media, and apparatuses for region-of-interest (ROI) automatic gain or exposure control are presented. In one example, a method includes receiving a first image from an image sensor captured with a first field of view (FOV) and comprising a first plurality of pixels, receiving a second image from the image sensor captured with a second FOV and comprising a second plurality of pixels, determining an ROI in the second image, the ROI comprising a subset of the second plurality of pixels in the second image, determining an ROI weight for the ROI in the second image, determining statistics based on the first plurality of pixels in the first image, the subset of the second plurality of pixels in the second image, and the ROI weight for the ROI in the second image, and adjusting a gain or exposure setting for the image sensor based on the statistics.

Abstract: Disclosed are systems and techniques for transferring device content using radio frequency (RF) sensing. For instance, a first wireless device can identify a first user of the first wireless device based on a first radio frequency (RF) signature associated with the first user. The first wireless media device can determine a disengagement of the first user from the first wireless media device. In response to the disengagement, content information associated with usage of the first wireless device by the first user can be captured.

Abstract: Systems and techniques are provided for providing power for target devices. For example, a process can include performing, at an environment infrastructure system, a device discovery procedure to discover a target device in an environment; obtaining power requirement information corresponding to the target device; obtaining a distance between a power providing component of the environment infrastructure system and the target device; determining a power amount to transmit to the target device based at least in part on the distance, the power requirement information, and an operation to be performed at the target device; determining a direction from the power providing component to the target device; transmitting the power amount in the direction to provide power to the target device for performing the operation; and receiving an operation result from the target device based on the operation.

Abstract: Systems, apparatus, and methods for a gesture-based augmented reality and/or extended reality (AR/XR) user interface. Conventional image processing scales quadratically based on image resolution. Processing complexity directly corresponds to memory size, power consumption, and heat dissipation. As a result, existing smart glasses solutions have short run-times (<1 hr) and may have battery weight and heat dissipation issues that are uncomfortable for continuous wear. The disclosed solution provides a system and method for low-power image processing via the use of scalable processing. In one specific implementation, gesture detection is divided into multiple stages. Each stage conditionally enables subsequent stages for more complex processing. By scaling processing complexity at each stage, high complexity processing can be performed on an “as-needed” basis.

Abstract: Systems, apparatus, and methods for a gesture-based augmented reality and/or extended reality (AR/XR) user interface. Conventional image processing scales quadratically based on image resolution. Processing complexity directly corresponds to memory size, power consumption, and heat dissipation. As a result, existing smart glasses solutions have short run-times (<1 hr) and may have battery weight and heat dissipation issues that are uncomfortable for continuous wear. The disclosed solution provides a system and method for low-power image processing via the use of scalable processing. In one specific implementation, gesture detection is divided into multiple stages. Each stage conditionally enables subsequent stages for more complex processing. By scaling processing complexity at each stage, high complexity processing can be performed on an “as-needed” basis.

Abstract: Methods, systems, computer-readable media, and apparatuses for region-of-interest automatic gain or exposure control are presented. One example method includes receiving an image from an image sensor, the image comprising a plurality of pixels, determining a region of interest (“ROI”) in the image, the ROI comprising a subset of the plurality of pixels in the image, determining a ROI weight for pixels in the subset of the plurality of pixels, determining statistics for the image based on the plurality of pixels in the image and the ROI weight, and adjusting a gain or exposure setting for the image sensor based on the statistics.

Abstract: Systems, apparatus, and methods for a gesture-based augmented reality and/or extended reality (AR/XR) user interface. Conventional image processing scales quadratically based on image resolution. Processing complexity directly corresponds to memory size, power consumption, and heat dissipation. As a result, existing smart glasses solutions have short run-times (<1 hr) and may have battery weight and heat dissipation issues that are uncomfortable for continuous wear. The disclosed solution provides a system and method for low-power image processing via the use of scalable processing. In one specific implementation, gesture detection is divided into multiple stages. Each stage conditionally enables subsequent stages for more complex processing. By scaling processing complexity at each stage, high complexity processing can be performed on an “as-needed” basis.

Abstract: Aspects presented herein may improve the performance of mobile/computer applications. Aspects presented herein may enable mobile/computer applications to differentiate entities that are associated with UEs or entities running the navigations applications, thereby enabling the mobile/computer applications (or their associated servers) to have a more accurate understanding of the conditions surrounding the UEs and their users. In one aspect, a network node obtains first information including at least one feature associated with a plurality of devices. The network node selects a first subset of the plurality of devices for a measurement based on the at least one feature associated with the plurality of devices (or the network node may exclude a second subset of the plurality of devices from the measurement).

Abstract: In some aspects, an image sensor may include a plurality of pixels. The plurality of pixels may be grouped into a plurality of patches configured to provide input to a transformer model. The image sensor may include a read-out component configured to read out data from the plurality of pixels on a patch-by-patch basis. Numerous other aspects are described.

Abstract: Methods and apparatus for scalable processing. Conventional image sensors read image data in a sequential row-by-row manner. However, image data may be more efficiently processed at different scales. For example, computer vision processing at a first scale may be used to determine whether subsequent processing with more resolution is helpful. Various embodiments of the present disclosure readout image data according to different scales; scaled readouts may be processed using scale specific computer vision algorithms to determine next steps. In addition to scaled readouts of image data, some variants may also provide commonly used data and/or implement pre-processing steps.

Abstract: Methods and apparatus for scalable processing. Conventional image sensors read image data in a sequential row-by-row manner. However, image data may be more efficiently processed at different scales. For example, computer vision processing at a first scale may be used to determine whether subsequent processing with more resolution is helpful. Various embodiments of the present disclosure readout image data according to different scales; scaled readouts may be processed using scale specific computer vision algorithms to determine next steps. In addition to scaled readouts of image data, some variants may also provide commonly used data and/or implement pre-processing steps.

Abstract: Methods and apparatus for scalable processing. Conventional image sensors read image data in a sequential row-by-row manner. However, image data may be more efficiently processed at different scales. For example, computer vision processing at a first scale may be used to determine whether subsequent processing with more resolution is helpful. Various embodiments of the present disclosure readout image data according to different scales; scaled readouts may be processed using scale specific computer vision algorithms to determine next steps. In addition to scaled readouts of image data, some variants may also provide commonly used data and/or implement pre-processing steps.

Abstract: Techniques are provided for utilizing wireless devices to detect and classify barriers between devices. An example method performed by a user equipment for authorizing a device-to-device request includes receiving a request from a wireless node, determining a first range measurement to the wireless node using a first positioning technique, determining a second range measurement to the wireless node using a second positioning technique that is different from the first positioning technique, and allowing or denying the request based on the first range measurement and the second range measurement.

Abstract: Techniques are provided for utilizing wireless devices to detect and classify barriers between devices. An example method for detecting a change in state of a physical environment includes determining a first state of the physical environment based on one or more round trip time measurements and one or more received signal strength measurements associated with a first plurality of radio frequency signals exchanged with one or more wireless nodes; determining a second state of the physical environment based on one or more round trip time measurements and one or more received signal strength measurements associated with a second plurality of radio frequency signals exchanged with the one or more wireless nodes; and providing an indication of a state change in the physical environment based at least in part on a comparison of the first state and the second state.

Abstract: Systems, apparatus, and methods for a gesture-based augmented reality and/or extended reality (AR/XR) user interface. Conventional image processing scales quadratically based on image resolution. Processing complexity directly corresponds to memory size, power consumption, and heat dissipation. As a result, existing smart glasses solutions have short run-times (<ihr) and may have battery weight and heat dissipation issues that are uncomfortable for continuous wear. The disclosed solution provides a system and method for low-power image processing via the use of scalable processing. In one specific implementation, gesture detection is divided into multiple stages. Each stage conditionally enables subsequent stages for more complex processing. By scaling processing complexity at each stage, high complexity processing can be performed on an “as-needed” basis.

Abstract: Techniques described herein include utilizing a mobile device as a proxy receiver and/or transmitter for a vehicle in a V2X network. In some embodiments, the mobile device associated mobile device capabilities may be configured to obtain vehicle capabilities and store such data in memory at the mobile device. The mobile device may obtain any suitable combination of a reception credential and one or more transmission credentials. In some embodiments, the one or more transmission credentials may be generated by a credential authority based at least in part on determining that the vehicle capabilities and mobile device capabilities indicate that the sensor(s) and/or processing resources of the vehicle and/or mobile device meet transmission requirement thresholds for the network. The mobile device may subsequently transmit any suitable data message on behalf of the vehicle using at least one of the transmission credentials.

Abstract: Techniques described herein include utilizing a mobile device as a proxy receiver for a vehicle such that a driver of the vehicle can be presented driving assistance information based on messages received by the mobile device. The mobile device can determine that it is temporally located with the vehicle. If so, the mobile device can be configured to receive messages from other entities (e.g., vehicles, roadside units, traffic signals, and the like) in a vehicle-to-everything network. On reception, the mobile device may determine whether a received data message is relevant to the vehicle. In response to determining that the data message is, in fact, relevant to the vehicle, the mobile device may provide driving assistance information that is generated based at least in part on the information provided in the received data message.

Abstract: Systems, apparatus, and methods for a gesture-based augmented reality and/or extended reality (AR/XR) user interface. Conventional image processing scales quadratically based on image resolution. Processing complexity directly corresponds to memory size, power consumption, and heat dissipation. As a result, existing smart glasses solutions have short run-times (<1 hr) and may have battery weight and heat dissipation issues that are uncomfortable for continuous wear. The disclosed solution provides a system and method for low-power image processing via the use of scalable processing. In one specific implementation, gesture detection is divided into multiple stages. Each stage conditionally enables subsequent stages for more complex processing. By scaling processing complexity at each stage, high complexity processing can be performed on an “as-needed” basis.

Abstract: Systems, apparatus, and methods for a gesture-based augmented reality and/or extended reality (AR/XR) user interface. Conventional image processing scales quadratically based on image resolution. Processing complexity directly corresponds to memory size, power consumption, and heat dissipation. As a result, existing smart glasses solutions have short run-times (<1 hr) and may have battery weight and heat dissipation issues that are uncomfortable for continuous wear. The disclosed solution provides a system and method for low-power image processing via the use of scalable processing. In one specific implementation, gesture detection is divided into multiple stages. Each stage conditionally enables subsequent stages for more complex processing. By scaling processing complexity at each stage, high complexity processing can be performed on an “as-needed” basis.