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公开(公告)号：US20240400079A1
公开(公告)日：2024-12-05
申请号：US18329416
申请日：2023-06-05
Applicant: QUALCOMM Incorporated
Inventor： Sweta Priyadarshi , Shivansh Rao , Varun Ravi Kumar , Senthil Kumar Yogamani
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, by a processor, image data from a camera image sensor; receiving, by the processor, point cloud data from a light detection and ranging (LiDAR) sensor; generating, by the processor and using a first machine learning model, fused image data that combines the image data and the point cloud data; and determining, by the processor and using a second machine learning model, whether the fused image data satisfies a criteria based on whether a population risk function of the first machine learning model exceeds a threshold. Other aspects and features are also claimed and described.
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公开(公告)号：US20240378743A1
公开(公告)日：2024-11-14
申请号：US18314592
申请日：2023-05-09
Applicant: QUALCOMM Incorporated
Inventor： Varun Ravi Kumar , Senthil Kumar Yogamani
Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method is provided that includes determining a first set of feature vectors for received images for a top view representation of an area surrounding a vehicle and a second set of feature vectors for a cylindrical representation of the area. The method may further include determining a first set of locations based on the first set of feature vectors and determining a second set of locations based on the second set of feature vectors. A third set of locations may be determined based on the first and second sets of locations, such as combining the first and second sets using a transformer attention process. Vehicle control instructions may then be determined based on the third set of locations. Other aspects and features are also claimed and described.
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公开(公告)号：US20240371023A1
公开(公告)日：2024-11-07
申请号：US18311950
申请日：2023-05-04
Applicant: QUALCOMM Incorporated
Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method is provided for determining the locations and bounding surfaces of objects depicted in image frames captured by fisheye image sensors attached to a vehicle. The method includes receiving raw fisheye image data from the sensor and using machine learning models to determine the locations and three-dimensional bounding surfaces of objects in the image frame. The bounding surfaces may be defined by three-dimensional polar coordinates representing portions of the viewing area of the fisheye image sensor. Control instructions for the vehicle may then be determined based on the bounding surfaces. In certain implementations, the bounding surfaces may be determined in three-dimensional polar coordinates. Other aspects and features are also claimed and described.
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公开(公告)号：US20240221384A1
公开(公告)日：2024-07-04
申请号：US18507988
申请日：2023-11-13
Applicant: QUALCOMM Incorporated
Inventor： Louis Joseph Kerofsky , Senthil Kumar Yogamani , Madhumitha Sakthi
CPC classification number: G06V20/56 , G06T3/60 , G06V10/761
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 and second image data from first and second cameras having different lens types. A first field of view of the second image data overlaps at least a portion of a second field of view of the first image data. The method further includes determining a point in space based on the first image data and the second image data and calculating a distance between the first camera and the point in space based on the lens type of the first camera and the lens type of the second camera. Other aspects and features are also claimed and described.
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