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公开(公告)号：US20210192231A1
公开(公告)日：2021-06-24
申请号：US16723925
申请日：2019-12-20
Applicant: QUALCOMM Incorporated
Inventor： Hee-Seok LEE , Heesoo MYEONG , Hankyu CHO
Abstract: Autonomous driving systems described herein provide an efficient way to manage camera-based perception by considering the characteristics of captured images. In one example, a camera sensor may capture an image and a processor may determine a first region of interest (ROI) within the image and a second ROI within the image. The processor may generate a first image of the first ROI and a second image of the second ROI. The processor may transmit a control signal based on one or more objects detected in the first ROI and/or one or more objects detected in the second ROI to cause the vehicle to perform an autonomous driving operation.
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公开(公告)号：US20200218909A1
公开(公告)日：2020-07-09
申请号：US16733228
申请日：2020-01-02
Applicant: QUALCOMM Incorporated
Inventor： Heesoo MYEONG , Hee-Seok LEE , Duck Hoon KIM , Seungwoo YOO , Kang KIM
IPC: G06K9/00
Abstract: Disclosed are techniques for performing lane instance recognition. Lane instances are difficult to recognize since they are long and elongated, and they also look different from view to view. An approach is proposed in which local mask segmentation lane estimation and global control points lane estimation are combined.
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Patent Agency Ranking
公开(公告)号：US20230153577A1
公开(公告)日：2023-05-18
申请号：US17986803
申请日：2022-11-14
Applicant: QUALCOMM Incorporated
Inventor： Taehyeon KIM , Heesoo MYEONG
IPC: G06N3/04
CPC classification number: G06N3/0454
Abstract: A processor-implemented method of searching for a neural network architecture includes defining a search space of student neural network architectures for knowledge distillation. The search space includes multiple convolutional operators and multiple transformer operators. A trust-region Bayesian optimization is performed to select a student neural network architecture from the search space based on a pre-defined teacher model.
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公开(公告)号：US20250035448A1
公开(公告)日：2025-01-30
申请号：US18360615
申请日：2023-07-27
Applicant: QUALCOMM Incorporated
Inventor： Heesoo MYEONG , Senthil Kumar YOGAMANI , Varun RAVI KUMAR
IPC: G01C21/32
Abstract: Disclosed are techniques for localization of an object. For example, a device can generate, based on sensor data obtained from sensor(s) associated with an object, a predicted map comprising predicted nodes associated with a predicted location of the object within an environment. The device can receive a high definition (HD) map comprising HD nodes associated with a HD location of the object within the environment. The device can further match the predicted nodes with the HD nodes to determine pair(s) of matched nodes between the predicted map and the HD map. The device can determine, based on a comparison between nodes in each pair of the pair(s) of matched nodes, a respective node score for each pair of the pair(s) of matched nodes. The device can determine, based on the respective node score for each pair of the pair(s) of matched nodes, a location of the object within the environment.
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公开(公告)号：US20210287018A1
公开(公告)日：2021-09-16
申请号：US17200592
申请日：2021-03-12
Applicant: QUALCOMM Incorporated
Inventor： Seungwoo YOO , Heesoo MYEONG , Hee-Seok LEE
Abstract: Certain aspects of the present disclosure provide a method for lane marker detection, including: receiving an input image; providing the input image to a lane marker detection model; processing the input image with a shared lane marker portion of the lane marker detection model; processing output of the shared lane marker portion of the lane marker detection model with a plurality of lane marker-specific representation layers of the lane marker detection model to generate a plurality of lane marker representations; and outputting a plurality of lane markers based on the plurality of lane marker representations.
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公开(公告)号：US20250131742A1
公开(公告)日：2025-04-24
申请号：US18492617
申请日：2023-10-23
Applicant: QUALCOMM Incorporated
Inventor： Varun RAVI KUMAR , Senthil Kumar YOGAMANI , Heesoo MYEONG
IPC: G06V20/56 , G06V10/26 , G06V10/764 , G06V10/82
Abstract: Aspects presented herein may improve the accuracy and reliability of object detections performed by multiple object detection models. In one aspect, a UE detects (1) a set of polylines from at least one of a set of bird's eye view (BEV) features or a set of perspective view (PV) features associated with a set of images and (2) a set of three-dimensional (3D) objects in the set of BEV features. The UE associates the set of polylines with the set of 3D objects. The UE updates the set of polylines based on a set of nearby 3D objects or updates the set of 3D objects based on a set of nearby polylines. The UE outputs an indication of the updated set of polylines or the updated set of 3D objects.
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公开(公告)号：US20230298360A1
公开(公告)日：2023-09-21
申请号：US17655500
申请日：2022-03-18
Applicant: QUALCOMM Incorporated
Inventor： Seungwoo YOO , Heesoo MYEONG , Hee-Seok LEE
CPC classification number: G06V20/588 , G06V10/82 , G06T7/73 , G06T2207/20081 , G06T2207/20084 , G06T2207/30256
Abstract: Certain aspects of the present disclosure provide techniques for lane marker detection. A set of feature tensors is generated by processing an input image using a convolutional neural network. A set of localizations is generated by processing the set of feature tensors using a localization network, a set of horizontal positions is generated by processing the set of feature tensors using row-wise regression, and a set of end positions is generated by processing the set of feature tensors using y-end regression. A set of lane marker positions is determined based on the set of localizations, the set of horizontal positions, and the set of end positions.
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