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公开(公告)号:US20240378872A1
公开(公告)日:2024-11-14
申请号:US18314607
申请日:2023-05-09
Applicant: QUALCOMM Incorporated
Inventor: Nirnai Ach , Mireille Lucette Laure Gregoire , Julia Kabalar , Senthil Kumar Yogamani
IPC: G06V10/80 , G01C21/16 , G06V10/774 , G06V10/82 , G06V20/58
Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method of image processing includes receiving first kinematic information associated with a camera image sensor; receiving, by the processor, point cloud data from a light detection and ranging (LiDAR) sensor; generating, by the processor, first image data that is time-synchronized with the point cloud data based on the first kinematic information and a neural radiance fields (NeRF) model; and generating, by the processor, fused data that combines the first image data and the point cloud data. Other aspects and features are also claimed and described.
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公开(公告)号:US20250095329A1
公开(公告)日:2025-03-20
申请号:US18469863
申请日:2023-09-19
Applicant: QUALCOMM Incorporated
Inventor: Kiran Bangalore Ravi , Julia Kabalar , Nirnai Ach , Mireille Lucette Laure Gregoire , Senthil Kumar Yogamani
Abstract: A device for processing sensor data is configured to receive the first frames from a first sensor; receive the second frames from a second sensor; perform a first feature extraction on the first frames using a first dynamic neural network to determine first features; perform a second feature extraction on the second frames using a second dynamic neural network to determine second features; determine a first delay associated with the first features; determine a second delay associated with the second features; modify a topology of the second dynamic neural network based on the first delay and the second delay; and use the second dynamic neural network with the modified topology to generate an output.
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公开(公告)号:US20250078437A1
公开(公告)日:2025-03-06
申请号:US18804633
申请日:2024-08-14
Applicant: QUALCOMM Incorporated
Inventor: Julia Kabalar , Mireille Lucette Laure Gregoire , Hazem Ahmed Mohamed Mohamed Rashed , Dorel Mircea Coman , Nirnai Ach , Kiran Bangalore Ravi , Senthil Kumar Yogamani
Abstract: A method for selecting one or more Regions of Interest (RoIs) for human annotations includes obtaining sensor data generated by one or more sensors of a vehicle; applying at least one class-agnostic heuristic function to the sensor data to determine a presence and an approximate position of one or more objects in an RoI of the sensor data; selecting one or more RoIs having proposed annotations for the one or more objects for refinement by an annotator; and outputting the one or more selected RoIs.
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