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公开(公告)号：US20200218913A1
公开(公告)日：2020-07-09
申请号：US16733222
申请日：2020-01-02
Applicant: QUALCOMM Incorporated
Inventor： Jayakrishnan UNNIKRISHNAN , Avdhut JOSHI , Shivam AGARWAL , Amir SALIMI , Sree Sesha Aravind VADREVU , Gautam SACHDEVA , Yoga Y NADARAAJAN , Ravi Teja SUKHAVASI , Aolin XU , Xinzhou WU , Young-Ki BAIK , Duck Hoon KIM , Hyun-Mook CHO
IPC: G06K9/00 , G06T7/277 , G06T7/246 , G01S13/931 , B60R11/04
Abstract: Disclosed are techniques for determining a motion state of a target object. In an aspect, an on-board computer of an ego vehicle detects the target object in one or more images, determines one or more first attributes of the target object based on measurements of the one or more images, determines one or more second attributes of the target object based on measurements of a map of a roadway on which the target object is travelling, and determines the motion state of the target object based on the one or more first attributes and the one or more second attributes of the target object.
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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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公开(公告)号：US20230135153A1
公开(公告)日：2023-05-04
申请号：US18045101
申请日：2022-10-07
Applicant: QUALCOMM Incorporated
Inventor： Young-Ki BAIK , ChaeSeong LIM , Duck Hoon KIM
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：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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Patent Agency Ranking
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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公开(公告)号：US20200219315A1
公开(公告)日：2020-07-09
申请号：US16733231
申请日：2020-01-02
Applicant: QUALCOMM Incorporated
Inventor： Young-Ki BAIK , ChaeSeong LIM , Duck Hoon KIM
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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7.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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公开(公告)号：US20180189580A1
公开(公告)日：2018-07-05
申请号：US15441114
申请日：2017-02-23
Applicant: QUALCOMM Incorporated
Inventor： Hee-Seok LEE , Duck Hoon KIM
CPC classification number: G06K9/00818 , G06K9/4604 , G06K9/4628 , G06K9/627 , G06T7/13 , G06T7/168 , G06T7/50 , G06T2207/20084 , G06T2207/30252
Abstract: A method, a computer-readable medium, and an apparatus for object detection are provided. The apparatus may determine a regression vector using a neural network based on an input image that contains an object. The object may have a planar surface with a known shape. The apparatus may derive a transform matrix based on the regression vector. The apparatus may identify a precise boundary of the object based on the transform matrix. The precise boundary of the object may include a plurality of vertices of the object. To identify the boundary of the object, the apparatus may apply the transform matrix to a determined shape of the object.
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公开(公告)号：US20130177209A1
公开(公告)日：2013-07-11
申请号：US13736527
申请日：2013-01-08
Applicant: QUALCOMM Incorporated
Inventor： Young-Ki BAIK , Hyung-II KOO , Duck Hoon KIM
IPC: G06K9/18
CPC classification number: G06K9/18 , G06K9/00671 , G06K9/036 , G06K9/228 , G06K2209/01
Abstract: Techniques described herein provide a method for automatically and intelligently creating and updating an OCR cache while performing OCR using a computing device. An image captured using a camera coupled to the computing device may be matched against prior images stored in the OCR cache. If a match is found, the OCR cache may be updated with new or better information utilizing the new image. The matched prior image may be retained in the OCR cache, or the new captured image may replace the matched prior image in the OCR cache. In one embodiment, techniques are described to remove or reduce glare before storing the image in the OCR cache. In some embodiments, glare is removed or reduced in the absence of performing OCR.
Abstract translation: 本文描述的技术提供了一种用于在使用计算设备执行OCR时自动和智能地创建和更新OCR高速缓存的方法。 使用耦合到计算设备的照相机捕获的图像可以与存储在OCR高速缓存中的现有图像相匹配。 如果找到匹配，则可以利用新图像更新新的或更好的信息来OCR缓存。 匹配的先前图像可以保留在OCR高速缓存中，或者新的捕获图像可以替代OCR高速缓存中的匹配的先前图像。 在一个实施例中，描述了在将图像存储在OCR高速缓存中之前去除或减少眩光的技术。 在一些实施例中，在没有执行OCR的情况下，眩光被去除或减少。
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