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公开(公告)号：US09594964B2
公开(公告)日：2017-03-14
申请号：US14302622
申请日：2014-06-12
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Qingrong Zhao , Wende Zhang , Jinsong Wang , Bakhtiar Brian Litkouhi
IPC: G06K9/00
CPC classification number: G06K9/00791
Abstract: A method for determining a wet road surface condition for a vehicle driving on a road. A first image exterior of the vehicle is captured by an image capture device. A second image exterior of the vehicle is captured by the image capture device. A section of the road is identified in the first and second captured images. A texture of the road in the first and second images captured by a processor are compared. A determination is made whether the texture of the road in the first image is different from the texture of the road in the second image. A wet driving surface indicating signal is generated in response to the determination that the texture of the road in the first image is different than the texture of the road in the second image.
Abstract translation: 一种用于确定在道路上行驶的车辆的湿路面状况的方法。 车辆的第一图像外部由图像捕获装置捕获。 车辆的第二图像外部由图像捕获装置捕获。 在第一和第二拍摄图像中识别道路的一部分。 比较由处理器捕获的第一和第二图像中的道路纹理。 确定第一图像中的道路的纹理是否不同于第二图像中的道路的纹理。 响应于第一图像中的道路的纹理与第二图像中的道路的纹理不同的确定，产生湿驱动表面指示信号。
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42.发明授权Automatic calibration of extrinsic and intrinsic camera parameters for surround-view camera system 有权自动校准环视摄像机系统的外在和内在摄像机参数公开(公告)号：US09386302B2
公开(公告)日：2016-07-05
申请号：US14283518
申请日：2014-05-21
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Shuqing Zeng , Wende Zhang , Jinsong Wang
CPC classification number: H04N17/002 , G06K9/00791 , G06K9/52 , G06T7/80 , G06T2207/30264 , H04N17/00
Abstract: A method of calibrating multiple vehicle-based image capture devices of a vehicle. An image is captured by at least one image capture device. A reference object is identified in the captured image. The reference object has known world coordinates. Known features of the vehicle are extracted in the captured image. A relative location and orientation of the vehicle in world coordinates is determined relative to the reference object. Each of the multiple image capture devices is calibrated utilizing intrinsic and extrinsic parameters of the at least one image capture device as a function of the relative location and orientation of the vehicle in world coordinates.
Abstract translation: 一种校准车辆的多个基于车辆的图像捕获装置的方法。 图像被至少一个图像捕获设备捕获。 在捕获的图像中识别参考对象。 参考对象具有已知的世界坐标。 在捕获的图像中提取车辆的已知特征。 相对于参考对象确定车辆在世界坐标系中的相对位置和方向。 根据世界坐标中车辆的相对位置和取向，使用至少一个图像捕获装置的固有和非本征参数来校准多个图像捕获装置中的每一个。
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43.发明授权公开(公告)号：US09225942B2
公开(公告)日：2015-12-29
申请号：US13836557
申请日：2013-03-15
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Wende Zhang , Jinsong Wang , Bakhtiar Brian Litkouhi , Kent S. Lybecker , Ryan M. Frakes
CPC classification number: G06T3/0062 , B60R1/00 , B60R2300/10 , B60R2300/306 , B60R2300/802 , B60R2300/8093 , G06T3/0018 , G06T7/75 , G06T2207/30244 , G06T2207/30264 , H04N5/23238 , H04N7/18
Abstract: A method for displaying a captured image on a display device. A real image is captured by a vision-based imaging device. A virtual image is generated from the captured real image based on a mapping by a processor. The mapping utilizes a virtual camera model with a non-planar imaging surface. Projecting the virtual image formed on the non-planar image surface of the virtual camera model to the display device.
Abstract translation: 一种用于在显示装置上显示拍摄图像的方法。 基于视觉的成像设备捕获真实的图像。 基于处理器的映射，从捕获的真实图像生成虚拟图像。 该映射利用具有非平面成像表面的虚拟相机模型。 将形成在虚拟相机模型的非平面图像表面上的虚像映射到显示装置。
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公开(公告)号：US20140114534A1
公开(公告)日：2014-04-24
申请号：US13835741
申请日：2013-03-15
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Wende Zhang , Jinsong Wang , Kent S. Lybecker , Jeffrey S. Piasecki , James Clem , Charles A. Green , Ryan M. Frakes , Travis S. Hester
IPC: B60R1/02
CPC classification number: B60R1/02 , B60R1/00 , B60R2001/1253 , B60R2300/30 , G06T3/4038 , H04N5/217 , H04N5/23238
Abstract: A method for displaying a captured image on a display device. A scene is captured by at least one vision-based imaging device. A virtual image of the captured scene is generated by a processor using a camera model. A view synthesis technique is applied to the captured image by the processor for generating a de-warped virtual image. A dynamic rearview mirror display mode is actuated for enabling a viewing mode of the de-warped image on the rearview mirror display device. The de-warped image is displayed in the enabled viewing mode on the rearview mirror display device.
Abstract translation: 一种用于在显示装置上显示拍摄图像的方法。 由至少一个基于视觉的成像装置拍摄场景。 捕获的场景的虚拟图像由使用相机模型的处理器生成。 视频合成技术被处理器应用于捕获的图像，用于生成去翘曲的虚像。 启动动态后视镜显示模式，以使后视镜显示装置上的去翘曲图像的观看模式能够观看。 逆视图像在后视镜显示设备的显示模式下显示。
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45.发明申请Dynamic Rearview Mirror Adaptive Dimming Overlay Through Scene Brightness Estimation 有权动态后视镜通过场景亮度估计自适应调光叠加公开(公告)号：US20140111637A1
公开(公告)日：2014-04-24
申请号：US13962156
申请日：2013-08-08
Applicant: GM Global Technology Operations LLC
Inventor： Wende Zhang , Jinsong Wang , Kent S. Lybecker , Jeffrey S. Piasecki , James Clem , Charles A. Green , Ryan M. Frakes , Travis S. Hester
IPC: H04N5/243
CPC classification number: H04N5/243 , B60R1/00 , B60R1/088 , B60R2300/105
Abstract: A vehicle imaging system includes an image capture device capturing an image exterior of a vehicle. The captured image includes at least a portion of a sky scene. A processor generates a virtual image of a virtual sky scene from the portion of the sky scene captured by the image capture device. The processor determines a brightness of the virtual sky scene from the virtual image. The processor dynamically adjusts a brightness of the captured image based the determined brightness of the virtual image. A rear view mirror display device displays the adjusted captured image.
Abstract translation: 车辆成像系统包括捕获车辆外观的图像拍摄装置。 捕获的图像包括天空场景的至少一部分。 处理器从由图像捕获装置捕获的天空场景的部分生成虚拟天空场景的虚拟图像。 处理器从虚拟图像确定虚拟天空场景的亮度。 处理器基于确定的虚拟图像的亮度动态地调整拍摄图像的亮度。 后视镜显示装置显示调整后的拍摄图像。
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Patent Agency Ranking
公开(公告)号：US20210056718A1
公开(公告)日：2021-02-25
申请号：US16545674
申请日：2019-08-20
Inventor： Jinsong Wang , Yang Zou , Guangyu J. Zou , Vijayakumar Bhagavatula
Abstract: A system for analyzing images includes a processing device including a receiving module configured to receive an image associated with a target domain, and a domain adaptation module configured to characterize one or more features represented in the received image based on a domain adaptation model. The domain adaptation model is generated using a machine learning algorithm to train the domain adaptation model, and the machine learning algorithm is configured to train the domain adaptation model based on one or more source domain images associated with a source domain, one or more previously acquired images associated with the target domain, and acquired characterization data associated with the target domain. The system also includes an output module configured to output the received image with characterization data identifying one or more features characterized by the domain adaptation module.
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公开(公告)号：US10926759B2
公开(公告)日：2021-02-23
申请号：US16002460
申请日：2018-06-07
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： SeyedAlireza Kasaiezadeh Mahabadi , Jinsong Wang , Kausalya Singuru , Bakhtiar B. Litkouhi
Abstract: Examples of techniques for controlling a vehicle based on trailer position are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes extracting, by a processing device, a feature point on a trailer from an image captured by a camera associated with a vehicle, the trailer being coupled to the vehicle. The method further includes determining, by the processing device, a distance between the feature point on the trailer and a virtual boundary. The method further includes, responsive to determining that the distance between the feature point on the trailer and the virtual boundary is less than a threshold, controlling, by the processing device, the vehicle to cause the distance between the feature point on the trailer and the virtual boundary to increase.
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公开(公告)号：US10919572B2
公开(公告)日：2021-02-16
申请号：US16002425
申请日：2018-06-07
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Abstract: Examples of techniques for controlling a vehicle based on trailer sway are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes estimating, by a processing device, an estimated articulation angle between a vehicle and a trailer coupled to the vehicle. The method further includes calculating, by the processing device, an expected articulation angle between the vehicle and the trailer. The method further includes comparing, by the processing device, the estimated articulation angle and the expected articulation angle to determine whether the trailer is experiencing trailer sway. The method further includes, responsive to determining that the trailer is experiencing sway, controlling, by the processing device, the vehicle to reduce the trailer sway.
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公开(公告)号：US10600257B2
公开(公告)日：2020-03-24
申请号：US15688467
申请日：2017-08-28
Applicant: GM Global Technology Operations LLC
Inventor： Shengbing Jiang , Mutasim A. Salman , Xinyu Du , Wen-Chiao Lin , Jinsong Wang , Shuqing Zeng
Abstract: An autonomic vehicle control system is described, and includes a vehicle spatial monitoring system including a subject spatial sensor that is disposed to monitor a spatial environment proximal to the autonomous vehicle. A controller is in communication with the subject spatial sensor, and the controller includes a processor and a memory device including an instruction set. The instruction set is executable to evaluate the subject spatial sensor, which includes determining first, second, third, fourth and fifth SOH (state of health) parameters associated with the subject spatial sensor, and determining an integrated SOH parameter for the subject spatial sensor based thereupon.
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公开(公告)号：US20200074639A1
公开(公告)日：2020-03-05
申请号：US16120616
申请日：2018-09-04
Applicant: GM Global Technology Operations LLC
Inventor： Qingrong Zhao , Mohsen Khalili , Bakhtiar B. Litkouhi , Jingfu Jin , Jinsong Wang
Abstract: A vehicle subsystem includes an on-vehicle camera that is disposed to monitor a field of view (FOV) that includes a travel surface for the vehicle. A controller captures, via the on-vehicle camera, an image file associated with the FOV and segments the image file into a first set of regions associated with the travel surface and a second set of regions associated with an above-horizon portion. Image features on each of the first set of regions and the second set of regions are extracted and classified. A surface condition for the travel surface for the vehicle is identified based upon the classified extracted image features from each of the first set of regions and the second set of regions. Operation of the vehicle is controlled based upon the identified surface condition.
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