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1. 发明授权

US11508122B2 Bounding box estimation and object detection 有权
公开(公告)号：US11508122B2
公开(公告)日：2022-11-22
申请号：US16733234
申请日：2020-01-02
申请人： QUALCOMM Incorporated
发明人： Young-Ki Baik , Hyun-Mook Cho , Duck Hoon Kim , Jeong-Kyun Lee , ChaeSeong Lim , Hee-Seok Lee
IPC分类号： G06T17/10 , G06T7/73 , G05D1/02 , G06T7/70
摘要： 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.

2. 发明授权

US09129177B2 Image cache 有权
标题翻译：图像缓存
公开(公告)号：US09129177B2
公开(公告)日：2015-09-08
申请号：US13736527
申请日：2013-01-08
申请人： QUALCOMM Incorporated
发明人： Young-Ki Baik , Hyung-Il Koo , Duck Hoon Kim
IPC分类号： G06K9/00 , G06K9/18 , G06K9/03 , G06K9/22
CPC分类号： G06K9/18 , G06K9/00671 , G06K9/036 , G06K9/228 , G06K2209/01
摘要： 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.
摘要翻译：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。

3. 发明授权

US11494979B2 Bounding box estimation and lane vehicle association 有权
公开(公告)号：US11494979B2
公开(公告)日：2022-11-08
申请号：US16733231
申请日：2020-01-02
申请人： QUALCOMM Incorporated
发明人： Young-Ki Baik , ChaeSeong Lim , Duck Hoon Kim
IPC分类号： G06K9/00 , G06T17/10 , G06T7/73 , G05D1/02 , G06T7/70
摘要： 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.

4. 发明授权

US10262218B2 Simultaneous object detection and rigid transform estimation using neural network 有权
公开(公告)号：US10262218B2
公开(公告)日：2019-04-16
申请号：US15441114
申请日：2017-02-23
申请人： QUALCOMM Incorporated
发明人： Hee-Seok Lee , Duck Hoon Kim
IPC分类号： G06T7/00 , G06K9/00 , G06K9/46 , G06T7/13 , G06T7/168 , G06T7/50 , G06K9/62
摘要： 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.

5. 发明授权

US09667880B2 Activating flash for capturing images with text 有权
公开(公告)号：US09667880B2
公开(公告)日：2017-05-30
申请号：US14466659
申请日：2014-08-22
申请人： QUALCOMM Incorporated
发明人： Seungwoo Yoo , Hyun-Mook Cho , Hee-Seok Lee , Duck Hoon Kim
IPC分类号： G06K9/00 , H04N5/235 , H04N5/232 , H04N9/07 , G06K9/03 , G06K9/46
CPC分类号： H04N5/2354 , G06K9/036 , G06K9/4661 , H04N5/23293 , H04N5/2351 , H04N9/07
摘要： A method, which is performed by an electronic device, of automatically activating a flash for an image sensor of the electronic device is disclosed. The method may include receiving a first image including at least one text region and determining feature data characterizing the at least one text region in the first image. The method may also identify at least one candidate specular reflection region in the first image. Based on the feature data and the at least one candidate specular reflection region, the flash may be activated. Upon activating the flash, a second image including the at least one text region may be captured.

6. 发明申请

US20160284350A1 CONTROLLING ELECTRONIC DEVICE BASED ON DIRECTION OF SPEECH 有权
标题翻译：基于语音方向控制电子设备
公开(公告)号：US20160284350A1
公开(公告)日：2016-09-29
申请号：US14671858
申请日：2015-03-27
申请人： QUALCOMM Incorporated
发明人： Sungrack Yun , Taesu Kim , Duck Hoon Kim , Kyuwoong Hwang
IPC分类号： G10L15/22
CPC分类号： G10L15/22 , G06F3/167 , G10L25/18 , G10L25/21 , G10L25/48 , G10L2015/223 , H04M2250/74
摘要： A method for controlling an electronic device in response to speech spoken by a user is disclosed. The method may include receiving an input sound by a sound sensor. The method may also detect the speech spoken by the user in the input sound, determine first characteristics of a first frequency range and second characteristics of a second frequency range of the speech in response to detecting the speech in the input sound, and determine whether a direction of departure of the speech spoken by the user is toward the electronic device based on the first and second characteristics.
摘要翻译：公开了一种用于响应于用户使用的语音来控制电子设备的方法。该方法可以包括由声音传感器接收输入声音。该方法还可以在输入声音中检测用户所说出的语音，响应于检测到输入声音中的语音，确定语音的第二频率范围的第一特征和第二频率范围的第二特性，并且确定是否基于第一和第二特征的用户所说出的语音的出发方向是朝向电子设备。

7. 发明授权

US09130664B2 Wireless communications using a sound signal 有权
标题翻译：使用声音信号的无线通信
公开(公告)号：US09130664B2
公开(公告)日：2015-09-08
申请号：US13653910
申请日：2012-10-17
申请人： Qualcomm Incorporated
发明人： Minho Jin , Taesu Kim , Young-Ki Baik , Minsub Lee , Duck Hoon Kim
IPC分类号： H04B11/00 , H04L9/30 , G06F21/10 , G06F21/40
CPC分类号： H04B11/00
摘要： A method for communicating messages by a mobile device via a sound medium is disclosed. The mobile device receives input sounds from at least one mobile device via the sound medium. From the input sounds, an input sound signal carrying a first message encoded with a first key is detected. The mobile device decodes the first message based on a matching key. An output sound signal carrying a second message encoded with a second key is generated. Further, the mobile device transmits an output sound corresponding to the output sound signal via the sound medium.
摘要翻译：公开了一种通过移动设备经由声音介质传送消息的方法。移动设备经由声音媒体从至少一个移动设备接收输入声音。从输入声音中，检测携带用第一密钥编码的第一消息的输入声音信号。移动设备基于匹配密钥对第一消息进行解码。产生携带用第二密钥编码的第二消息的输出声音信号。此外，移动设备经由声音媒体发送与输出声音信号相对应的输出声音。

8. 发明授权

US11630197B2 Determining a motion state of a target object 有权
公开(公告)号：US11630197B2
公开(公告)日：2023-04-18
申请号：US16733222
申请日：2020-01-02
申请人： QUALCOMM Incorporated
发明人： Jayakrishnan Unnikrishnan , Avdhut Joshi , Shivam Agarwal , Amir Salimi , Sree Sesha Aravind Vadrevu , Gautam Sachdeva , Yoga Y Nadaraajan , Ravi Teja Sukhavasi , Xinzhou Wu , Young-Ki Baik , Duck Hoon Kim , Hyun-Mook Cho
IPC分类号： G06T7/277 , G01S13/58 , G06T7/246 , G01S13/931 , B60R11/04 , G06V20/58 , G06V20/56 , G06V10/25 , G06V10/762 , G06V10/80
摘要： 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.

9. 发明授权

US11544940B2 Hybrid lane estimation using both deep learning and computer vision 有权
公开(公告)号：US11544940B2
公开(公告)日：2023-01-03
申请号：US16733111
申请日：2020-01-02
申请人： QUALCOMM Incorporated
发明人： Young-Ki Baik , Jeong-Kyun Lee , Seok-Soo Hong , Duck Hoon Kim
IPC分类号： B62D6/00 , G06V20/56 , B60R11/04 , G06F17/16 , G06N3/02
摘要： 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.

10. 发明授权

US11195028B2 Real-time simultaneous detection of lane marker and raised pavement marker for optimal estimation of multiple lane boundaries 有权
公开(公告)号：US11195028B2
公开(公告)日：2021-12-07
申请号：US16733148
申请日：2020-01-02
申请人： QUALCOMM Incorporated
发明人： Jeong-Kyun Lee , Young-Ki Baik , Seungwoo Yoo , Duck Hoon Kim
IPC分类号： G06K9/62 , G06K9/46 , G06K9/00
摘要： 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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