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Patent Agency Ranking
公开(公告)号：US20200219316A1
公开(公告)日：2020-07-09
申请号：US16733234
申请日：2020-01-02
Applicant: QUALCOMM Incorporated
Inventor： Young-Ki BAIK , Hyun-Mook CHO , Duck Hoon KIM , Jeong-Kyun LEE , ChaeSeong LIM , Hee-Seok LEE
Abstract: Disclosed are techniques for estimating a 3D bounding box (3DBB) from a 2D bounding box (2DBB). Conventional techniques to estimate 3DBB from 2DBB rely upon classifying target vehicles within the 2DBB. When the target vehicle is misclassified, the projected bounding box from the estimated 3DBB is inaccurate. To address such issues, it is proposed to estimate the 3DBB without relying upon classifying the target vehicle.
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公开(公告)号：US20200218907A1
公开(公告)日：2020-07-09
申请号：US16733111
申请日：2020-01-02
Applicant: QUALCOMM Incorporated
Inventor： Young-Ki BAIK , Jeong-Kyun LEE , Seok-Soo HONG , Duck Hoon Kim
Abstract: Disclosed are techniques for lane estimation. In aspects, a method includes receiving a plurality of camera frames captured by a camera sensor of a vehicle, assigning a first subset of the plurality of camera frames to a deep learning (DL) detector and a second subset of the plurality of camera frames to a computer vision (CV) detector based on availability of the DL and CV detectors, identifying a first set of lane boundary lines in a first camera frame processed by the DL detector, identifying a second set of lane boundary lines in a second camera frame processed by the CV detector, generating first and second sets of lane models based on the first and second sets of lane boundary lines, and updating a set of previously identified lane models based on the first set of lane models and/or the second set of lane models.
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公开(公告)号：US20210209797A1
公开(公告)日：2021-07-08
申请号：US17142195
申请日：2021-01-05
Applicant: QUALCOMM Incorporated
Inventor： Jeong-Kyun LEE , Young-Ki BAIK , Hankyu CHO , Dongju KIM
Abstract: Techniques and systems are provided for determining features of one or more objects in one or more images. For example, an image of an object and a three-dimensional model associated with the object can be obtained. From the image, a sample point on the object can be determined. A depth and an angle of the sample point of the object can be determined. A pose and a shape of the three-dimensional model associated with the object can be determined based on the depth and the angle.
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公开(公告)号：US20230112799A1
公开(公告)日：2023-04-13
申请号：US18047538
申请日：2022-10-18
Applicant: QUALCOMM Incorporated
Inventor： Young-Ki BAIK , Hyun-Mook CHO , Duck Hoon KIM , Jeong-Kyun LEE , Chaeseong LIM , Hee-Seok LEE
Abstract: Disclosed are techniques for estimating a 3D bounding box (3DBB) from a 2D bounding box (2DBB). Conventional techniques to estimate 3DBB from 2DBB rely upon classifying target vehicles within the 2DBB. When the target vehicle is misclassified, the projected bounding box from the estimated 3DBB is inaccurate. To address such issues, it is proposed to estimate the 3DBB without relying upon classifying the target vehicle.
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5.发明申请公开(公告)号：US20200218908A1
公开(公告)日：2020-07-09
申请号：US16733148
申请日：2020-01-02
Applicant: QUALCOMM Incorporated
Inventor： Jeong-Kyun LEE , Young-Ki BAIK , Seungwoo YOO , Duck Hoon KIM
Abstract: Disclosed are techniques for estimating multiple lane boundaries through simultaneous detection of lane markers (LM) and raised pavement markers (RPM). Conventional techniques for lane marker detection (LMD) comprises extracting and clustering line segments from a camera image, fitting the clustered lines to a geometric model, and selecting the multiple lanes using heuristic approaches. Unfortunately, in the conventional technique, an error from each step is sequentially propagated to the next step. Also there are no techniques to estimate both LMs and RPMs. A technique to simultaneously detect in real time both LM and RPMs is proposed. This enables optimal estimation of multiple lane boundaries.
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