Robotics & Machine Learning Daily News2024,Issue(Nov.26) :94-98.

Patent Application Titled 'Detecting Individual Free Marked Target Areas From Im ages Of A Camera System Of A Movement Device' Published Online (USPTO 2024037117 9)

在线公布的题为“从运动装置的摄像机系统的图像中检测单独的自由标记目标区域”的专利申请(USPTO 2024037117 9)

Robotics & Machine Learning Daily News2024,Issue(Nov.26) :94-98.

Patent Application Titled 'Detecting Individual Free Marked Target Areas From Im ages Of A Camera System Of A Movement Device' Published Online (USPTO 2024037117 9)

在线公布的题为“从运动装置的摄像机系统的图像中检测单独的自由标记目标区域”的专利申请(USPTO 2024037117 9)

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摘要

记者从发明人提供的背景资料中获得以下引述:“EP 2486513 B1公开了一种用于具有用于识别的摄像机的Moto R车辆的驾驶员辅助系统”道路标记;根据本发明,提供了一种用于识别停车或停车的车辆的装置车辆的模式。此外,控制器从当车辆处于停车或停车模式时,摄像机对图像数据进行分析显示禁止停车和/或禁止停车点的道路标记,其中所述控制器启动信号一种装置,使得信号装置在道路标记显示的情况下输出警告消息在停车或停放的车辆周围检测到禁止停车或禁止停车的地方。代替一个摄像机,还可以利用具有不同观察方向(例如车辆侧面的区域)和安装位置(例如外部)的多个摄像机或图像记录单元。后视镜。

Abstract

Reporters obtained the following quote from the background information supplied by the inventors:“EP 2486513 B1 discloses a driver assistance system for a moto r vehicle having a camera for recognizingroad markings; according to the invent ion, an apparatus is provided for recognizing a parked or stoppedmode of the ve hicle. In addition, a controller receives image data of the surroundings of the vehicle fromthe camera when the vehicle is in the parked or stopped mode and an alyzes the image data with respect toroad markings displaying no-parking and/or no-stopping spots, wherein the controller actuates a signalingdevice such that the signaling device outputs a warning message in the event that a road marking displayinga no-parking spot or a no-stopping spot is detected in the surroundi ngs of the stopped or parked vehicle.Instead of one camera, it is also possible to utilize multiple cameras or image recording units with different viewing dir ections (e.g., regions to the side of the vehicle) and installation positions (e .g., in the outsiderearview mirrors).

Key words

Business/Continental Autonomous Mobilit y Germany GmbH/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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