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公开(公告)号：US12217471B2
公开(公告)日：2025-02-04
申请号：US18511462
申请日：2023-11-16
Applicant: QUALCOMM Incorporated
Inventor： Edwin Chongwoo Park , Soman Ganesh Nikhara , Bapineedu Chowdary Gummadi , Pradeep Veeramalla , Ravi Shankar Kadambala
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.
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公开(公告)号：US12039749B2
公开(公告)日：2024-07-16
申请号：US16904466
申请日：2020-06-17
Applicant: QUALCOMM Incorporated
Inventor： Ravishankar Sivalingam , Donald William Kidwell , Russell Gruhlke , Edwin Chongwoo Park , Khurshid Syed Alam
IPC: G06T7/73 , G06F3/01 , G06F3/0346 , H04N23/90
CPC classification number: G06T7/73 , G06F3/012 , G06F3/0346 , H04N23/90 , G06T2207/10048
Abstract: 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.
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公开(公告)号：US11947960B2
公开(公告)日：2024-04-02
申请号：US18052774
申请日：2022-11-04
Applicant: QUALCOMM Incorporated
Inventor： Edwin Chongwoo Park , Ravishankar Sivalingam
CPC classification number: G06F9/3001 , G06F7/5443
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.
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公开(公告)号：US11653083B2
公开(公告)日：2023-05-16
申请号：US17247529
申请日：2020-12-15
Applicant: QUALCOMM Incorporated
Inventor： Edwin Chongwoo Park , Ravishankar Sivalingam
IPC: H04N5/232 , H04N5/3745 , H01L27/146
CPC classification number: H04N5/23219 , H01L27/14605 , H04N5/37455 , H01L27/14621
Abstract: Various aspects of the present disclosure generally relate to a sensor module. In some aspects, an image sensor module may include an array of photon sensors configured to output a first set of signals corresponding to a set of photon sensors of the array of photon sensors. The set of photon sensors may include a row of photon sensors, or a column of photon sensors, of the array of photon sensors. The image sensor module may include a plurality of data selector components configured to receive the first set of signals and output a second set of signals corresponding to a subset of the set of photon sensors.
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公开(公告)号：US11537436B2
公开(公告)日：2022-12-27
申请号：US16591533
申请日：2019-10-02
Applicant: QUALCOMM Incorporated
Inventor： Jamie Menjay Lin , Edwin Chongwoo Park
IPC: G06F9/50
Abstract: Methods, systems, and devices for configuring a machine learning network are described. A device, which may be otherwise known as user equipment (UE), may support ultra-low power sensor applications. More specifically, the device may support memory block allocation of a machine learning network based on performance levels associated with the applications. For example, the device may identify a performance level associated with an application on the device. The device may determine that the performance level satisfies a condition, and subsequently determine a memory block allocation of a machine learning network of the device based on the performance level satisfying the condition. The memory block allocation may correspond to one or more connections of the machine learning network. Based on the memory block allocation, the device may adjust a quantity of memory blocks available for the machine learning network and process the application.
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Patent Agency Ranking
公开(公告)号：US11277559B2
公开(公告)日：2022-03-15
申请号：US16857045
申请日：2020-04-23
Applicant: QUALCOMM Incorporated
Inventor： Jon Lasiter , Evgeni Gousev , Ravindra Vaman Shenoy , Russell Gruhlke , Khurshid Syed Alam , Kebin Li , Edwin Chongwoo Park
Abstract: In one example, an image sensor module comprises one or more covers having at least a first opening and a second opening, a first lens mounted in the first opening and having a first field of view (FOV) centered at a first axis having a first orientation, a second lens mounted in the second opening and having a second FOV centered at a second axis having a second orientation different from the first orientation, a first image sensor housed within the one or more covers and configured to detect light via the first lens, and a second image sensor housed within the one or more covers and configured to detect light via the second lens. The first image sensor and the second image sensor are configured to provide, based on the detected light, image data of a combined FOV larger than each of the first FOV and the second FOV.
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公开(公告)号：US11222219B2
公开(公告)日：2022-01-11
申请号：US16550616
申请日：2019-08-26
Applicant: QUALCOMM Incorporated
Inventor： Benjamin Lund , Anthony Blow , Edwin Chongwoo Park
Abstract: Disclosed embodiments pertain to a method for determining position information of a target vehicle relative to an ego vehicle. The method may comprise: obtaining, by at least one image sensor, first images of one or more target vehicles and classifying at least one target vehicle from the one or more target vehicles based on the one or more first images. Further, vehicle characteristics corresponding to the least one target vehicle may be obtained based on the classification of the least one target vehicle. Position information of the at least one target vehicle relative to the ego vehicle may be determined based on the vehicle characteristics.
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公开(公告)号：US20210264620A1
公开(公告)日：2021-08-26
申请号：US16801066
申请日：2020-02-25
Applicant: QUALCOMM Incorporated
Inventor： Bala Ramasamy , Edwin Chongwoo Park , Benjamin Lund , Justin Tse
Abstract: Methods, systems, and devices for multi-device object tracking and localization are described. A device may transmit a request message associated with a target object to a set of devices within a target area. The request message may include an image of the target object, a feature of the target object, or at least a portion of a trained model associated with the target object. Subsequently, the device may receive response messages from the set of devices based on the request message. The response messages may include a portion of a captured image including the target object, location information of the devices, a pose of the devices, or temporal information of the target object detected within the target area by the devices. In some examples, the device may determine positional information with respect to the target object based on the one or more response messages.
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9.发明授权公开(公告)号：US10257847B2
公开(公告)日：2019-04-09
申请号：US15010402
申请日：2016-01-29
Applicant: QUALCOMM Incorporated
Abstract: Aspects of the present disclosure provide a scheduling entity and methods of operating the scheduling entity such that the scheduling entity reconfigures/allocates its resources based on device capabilities of the wireless devices. The scheduling entity utilizes a first resource configuration to provide communications service to one or more wireless devices associated with the scheduling entity. The scheduling entity determines a change of the one or more wireless devices, wherein the change include at least one of a capability change of a wireless device, a quality of service (QoS) requirement change of a wireless device, an addition of a wireless device, or a removal of a wireless device. Based on at least one of a predetermined time of a day or the determined change, the scheduling entity reconfigures to a second resource configuration to facilitate resource utilization of the first wireless cell.
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公开(公告)号：US20180173948A1
公开(公告)日：2018-06-21
申请号：US15713561
申请日：2017-09-22
Applicant: QUALCOMM Incorporated
Inventor： Evgeni Gousev , Liang Shen , Victor Chan , Edwin Chongwoo Park , Xiaopeng Zhang
CPC classification number: G06K9/00604 , G06F1/3203 , G06F3/013 , G06K9/00597 , G06K9/0061 , H04N5/33 , H04W52/0251 , Y02D70/00 , Y02D70/1262 , Y02D70/1264 , Y02D70/142 , Y02D70/144 , Y02D70/146 , Y02D70/164 , Y02D70/26
Abstract: Sensing of scene-based occurrences is disclosed. In one example, a vision sensor system comprises (1) dedicated computer vision (CV) computation hardware configured to receive sensor data from at least one sensor array and capable of computing CV features using readings from multiple neighboring sensor pixels and (2) a first processing unit communicatively coupled with the dedicated CV computation hardware. The vision sensor system is configured to, in response to processing of the one or more computed CV features indicating a presence of one or more irises in a scene captured by the at least one sensor array, generate data in support of iris-related operations to be performed by a second processing unit and send the generated data to the second processing unit.
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