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Patent Agency Ranking
公开(公告)号：US20170068862A1
公开(公告)日：2017-03-09
申请号：US15303385
申请日：2015-03-27
Applicant: DELPHI TECHNOLOGIES, INC.
Inventor： Mirko Mueter , Kun Zhao , Lech J. Szumilas , Dennis Mueller , Christian Nunn
CPC classification number: G06K9/00798 , G06T7/277 , H04N7/181
Abstract: A method for lane detection for a camera-based driver assistance system includes the following steps: image regions in images that are recorded by a camera are identified as detected lane markings if the image regions meet a specified detection criterion. At least two detected lane markings are subjected to a tracking process as lane markings to be tracked. By means of a recursive state estimator, separate progressions are estimated for at least two of the lane markings to be tracked. Furthermore, for each of a plurality of the detected lane markings, a particular offset value is determined, which indicates a transverse offset of the detected lane marking in relation to a reference axis. By means of an additional estimation method, the determined offset values are each associated with one of the separate progressions of the lane markings to be tracked.
Abstract translation: 用于基于照相机的驾驶员辅助系统的车道检测方法包括以下步骤：如果图像区域满足指定的检测标准，则由相机记录的图像中的图像区域被识别为检测到的车道标记。 将至少两个检测到的车道标记作为要跟踪的车道标记进行跟踪处理。 通过递归状态估计器，对要跟踪的至少两条车道标记估计单独的进度。 此外，对于多个检测到的车道标记中的每一个，确定特定偏移值，其指示检测到的车道标记相对于参考轴线的横向偏移。 通过附加估计方法，所确定的偏移值各自与要跟踪的车道标记的单独进度之一相关联。
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公开(公告)号：US10115026B2
公开(公告)日：2018-10-30
申请号：US15303385
申请日：2015-03-27
Applicant: DELPHI TECHNOLOGIES, INC.
Inventor： Mirko Mueter , Kun Zhao , Lech J. Szumilas , Dennis Mueller , Christian Nunn
Abstract: A method for lane detection for a camera-based driver assistance system includes the following steps: image regions in images that are recorded by a camera are identified as detected lane markings if the image regions meet a specified detection criterion. At least two detected lane markings are subjected to a tracking process as lane markings to be tracked. By means of a recursive state estimator, separate progressions are estimated for at least two of the lane markings to be tracked. Furthermore, for each of a plurality of the detected lane markings, a particular offset value is determined, which indicates a transverse offset of the detected lane marking in relation to a reference axis. By means of an additional estimation method, the determined offset values are each associated with one of the separate progressions of the lane markings to be tracked.
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公开(公告)号：US09911056B2
公开(公告)日：2018-03-06
申请号：US14952025
申请日：2015-11-25
Applicant: Delphi Technologies, Inc.
Inventor： Anslem Haselhoff , Dennis Mueller , Mirko Meuter , Christian Nunn
CPC classification number: G06K9/46 , G06K9/00818 , G06K9/00832 , G06K9/6215 , G06K9/66 , G06T7/246 , G06T2207/10016 , G06T2207/30248 , H04N7/18
Abstract: In a method of generating a training image for teaching of a camera-based object recognition system suitable for use on an automated vehicle which shows an object to be recognized in a natural object environment, the training image is generated as a synthetic image by a combination of a base image taken by a camera and of a template image in that a structural feature is obtained from the base image and is replaced with a structural feature obtained from the template image by means of a shift-map algorithm.
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4.发明申请Method Of Generating A Training Image For An Automated Vehicle Object Recognition System 有权生成自动车辆对象识别系统训练图像的方法公开(公告)号：US20160162750A1
公开(公告)日：2016-06-09
申请号：US14952025
申请日：2015-11-25
Applicant: Delphi Technologies, Inc.
Inventor： Anslem Haselhoff , Dennis Mueller , Mirko Meuter , Christian Nunn
CPC classification number: G06K9/46 , G06K9/00818 , G06K9/00832 , G06K9/6215 , G06K9/66 , G06T7/246 , G06T2207/10016 , G06T2207/30248 , H04N7/18
Abstract: In a method of generating a training image for teaching of a camera-based object recognition system suitable for use on an automated vehicle which shows an object to be recognized in a natural object environment, the training image is generated as a synthetic image by a combination of a base image taken by a camera and of a template image in that a structural feature is obtained from the base image and is replaced with a structural feature obtained from the template image by means of a shift-map algorithm.
Abstract translation: 在生成训练图像的方法中，训练图像用于教导适用于在自然对象环境中显示要识别的对象的自动车辆上的基于摄像机的对象识别系统，通过组合生成训练图像作为合成图像 由相机拍摄的基本图像和模板图像，其中从基本图像获得结构特征，并且通过移位映射算法被从模板图像获得的结构特征替换。
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公开(公告)号：US09047518B2
公开(公告)日：2015-06-02
申请号：US13650182
申请日：2012-10-12
Applicant: DELPHI TECHNOLOGIES, INC.
Inventor： Christian Nunn , Mirko Meuter , Dennis Mueller , Steffen Goermer
CPC classification number: G06K9/00798 , G06K2009/3291
Abstract: In a method for the detection and tracking of lane markings from a motor vehicle, an image of a space located in front of the vehicle is captured by means of an image capture device at regular intervals. The picture elements that meet a predetermined detection criterion are identified as detected lane markings in the captured image. At least one detected lane marking as a lane marking to be tracked is subjected to a tracking process. At least one test zone is defined for each detected lane marking. With the aid of intensity values of the picture elements associated with the test zone, at least one parameter is determined. The detected lane marking is assigned to one of several lane marking categories, depending on the parameter.
Abstract translation: 在用于检测和跟踪来自机动车辆的车道标记的方法中，通过图像捕获装置以规则的间隔捕获位于车辆前方的空间的图像。 符合预定检测标准的图像元素被识别为所捕获图像中检测到的车道标记。 至少一个检测到的车道标记作为要跟踪的车道标记被进行跟踪处理。 为每个检测到的车道标记定义至少一个测试区域。 借助于与测试区域相关联的图像元素的强度值，确定至少一个参数。 根据参数，检测到的车道标记被分配到几个车道标记类别之一。
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