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公开(公告)号：US11884296B2
公开(公告)日：2024-01-30
申请号：US17128554
申请日：2020-12-21
Applicant: QUALCOMM Incorporated
Inventor： Hee Jun Park , Abhinav Goel
CPC classification number: B60W60/0015 , B60W60/0013 , G06N3/002 , G06N3/042 , G06N3/045 , G06N7/046
Abstract: Embodiments include methods performed by a processor of a vehicle for allocating processing resources to concurrently-executing neural networks. The methods may include determining a priority of each of a plurality of neural networks executing on a vehicle processing system based on a contribution of each neural network to overall vehicle safety performance, and allocating computing resources to the plurality of neural networks based on the determined priority of each neural network. In some embodiments, the methods may dynamically adjust hyperparameters of one or more neural networks.
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公开(公告)号：US12299969B2
公开(公告)日：2025-05-13
申请号：US17701400
申请日：2022-03-22
Applicant: QUALCOMM Incorporated
Inventor： Hee Jun Park , Abhinav Goel , Young Hoon Kang
Abstract: Systems and techniques are provided for vision perception processing. An example method can include determining an attention demand score or characteristic per region of a frame from a sequence of frames; generating attention votes per region of the frame based on the attention demand score or characteristic per region, the attention votes per region providing attention demands and/or attention requests; determining an attention score or characteristic per region of the frame based on a number of attention votes from one or more computer vision functions; based on the attention score or characteristic per region of the frame, selecting one or more regions of the frame for processing using a neural network; and detecting or tracking one or more objects in the one or more regions of the frame based on processing of the one or more regions using the neural network.
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公开(公告)号：US20220194423A1
公开(公告)日：2022-06-23
申请号：US17128554
申请日：2020-12-21
Applicant: QUALCOMM Incorporated
Inventor： Hee Jun PARK , Abhinav Goel
Abstract: Embodiments include methods performed by a processor of a vehicle for allocating processing resources to concurrently-executing neural networks. The methods may include determining a priority of each of a plurality of neural networks executing on a vehicle processing system based on a contribution of each neural network to overall vehicle safety performance, and allocating computing resources to the plurality of neural networks based on the determined priority of each neural network. In some embodiments, the methods may dynamically adjust hyperparameters of one or more neural networks.
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公开(公告)号：US11363599B1
公开(公告)日：2022-06-14
申请号：US17207845
申请日：2021-03-22
Applicant: QUALCOMM Incorporated
Inventor： Hee Jun Park , Abhinav Goel
Abstract: Systems and methods may include indicating a processing latency requirement to an operating frequency controller of a moving device processing system, receiving an indication of the allowable operating frequency for the processing system, and changing a characteristic of movement of the moving device based on the allowable operating frequency indication. Some embodiments include receiving an indication of a processing latency requirement from a moving device control system, determining a target operating frequency to achieve the processing latency requirement, determining whether the target operating frequency exceeds an allowable operating frequency, and indicating the allowable operating frequency for the processing system to the moving device control system. Further embodiments include receiving an indication of a speed of the moving device, determining a target operating frequency for the processing system compatible with the indicated speed of the moving device, and changing an operating frequency of the processing system to the target operating frequency.
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