Qualcomm Incorporated

Airhop Communications, Inc.

Softeye, Inc.

Texas Instruments Corporation

Other

Edwin Chongwoo Park

Soumya Das

Samir Salib Soliman

Yan Hui

Olufunmilola Omolade Awoniyi-Oteri

Benjamin Lund

Roy Franklin Quick, Jr

Ravishankar Sivalingam

Bongyong Song

Bala Ramasamy

Te-Won Lee

Garrett Shriver

Evgeni Petrovich Gousev

Russell Wayne Gruhlke

Ozgur Dural

Bapineedu Chowdary Gummadi

Soman Ganesh Nikhara

Xiaoxin Zhang

Victor Hokkiu Chan

Ravi Shankar Kadambala

Jamie Menjay Lin

Venkat Rangan

Khurshid Syed Alam

Hanson On

Anthony Blow

Dan Vassilovski

Ravindra Vaman Shenoy

Alok Govil

Donald William Kidwell, Jr

Kebin Li

Yuheng Huang

Nelson Rasquinha

Pradeep Kumar Veeramalla

Jacek Maitan

Xiaopeng Zhang

Liang Shen

Justin Tse

Hong Cheng

Danlu Zhang

Raghuraman Krishnamoorthi

Arnold Jason Gum

Arungundram C Mahendran

Harleen Kaur Gill

Naga Chandan Babu Gudivada

Peter Anthony Barany

Gang Ding

John G McDonough

Jon Lasiter

Gibong Jeong

Brian Lee Momeyer

Robert Thomas Franzo

Avinash Shrivastava

Daniel Hendricus Franciscus Fontijne

Donald William Kidwell

Ankita Anil Kumar Choudha

Nojun Kwak

Olunfunmilola O Awoniyi

Jeffery Henckels

Daniel Baker

Mahmoud Munes Tomeh

Olufunmilola O Awoniyi

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.

Methods and apparatus for scalable processing

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.

Systems, apparatus, and methods for gesture-based augmented reality, extended reality

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.

Barrier type detection using time-of-flight and receive signal strength indication

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.

Light-based low power device

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).

Systems and methods for navigation model enhancement

Novel applications for anamorphic lenses in smart glasses. Anamorphic lenses preserve straightness of motion and lines (i.e., 'linearity'). As a practical matter, existing computer vision models can be used with anamorphic images without re-training or intermediate conversion steps (unlike fisheye lenses). The contents of the present disclosure provide substantial improvements for applications that have different FOV requirements along different axis. Solutions for ergonomic hand placement (relative to gaze), non-square photosites, binning and eye-tracking are discussed throughout.

Applications for anamorphic lenses

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.

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.

Systems and methods region-of-interest automatic gain or exposure control

Systems and techniques are described herein for network organization. For instance, a process can include receiving, from a second sensing apparatus of the self-organizing network, an indication of a first task. The process can further include retrieving a first power profile associated with the first task, determining a current battery level of the at least one battery, predicting a future battery level of the at least one battery based on the current battery level, and the first power profile associated with the first task, and transmitting, to another sensing apparatus, the predicted future battery level.

Sentinel devices in a low power self-organizing tracking sensor network

In some aspects, a spectral image capturing device may receive, from a filter array, visible light and infrared light, wherein the filter array includes a quantity of color filters to block the infrared light and pass the visible light and a quantity of infrared filters to block the visible light and pass the infrared light. The spectral image capturing device may produce, using an image sensor that includes an array of pixel sensors, a spectral image based at least in part on the visible light and the infrared light passed by the filter array. Numerous other aspects are provided.

Spectral image capturing using infrared light and color light filtering

Systems, methods, and non-transitory media are provided for low-power visual tracking systems. An example method can include receiving one or more images captured by each image sensor system from a set of image sensor systems on a first device, the one or more images capturing a set of patterns on a second device, wherein the first device has lower power requirements than the second device, the set of patterns having a predetermined configuration on the second device; determining, from the one or more images captured by each image sensor system, a set of pixels corresponding to the set of patterns on the second device; determining, based on the set of pixels corresponding to the set of patterns, a location and relative pose in space of each pattern; and determining, based on the location and relative pose of each pattern, a pose of the first device relative to the second device.

Low power visual tracking systems

Growing community of inventors

San Diego, CA, United States of America

Edwin Chongwoo Park