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CLASSIFICATION TECHNIQUE FOR ASSESSING A VISIBILITY DEGRADATION IN IMAGE DATA UNITS

机译:用于评估图像数据单元中的可见度降级的分类技术

摘要

The present invention concerns a classification technique for evaluating a visibility degradation in image data units (Pi). Image data units (P1, P2, P3, P4) concerning the environment (3) of a vehicle (1, 1') are gathered from a vision sensor (2, 2'). At least a share of the image data units (P1, P2, P3, P4) contains image information which is subject to a visibility degradation based on at least one vision degrading influence (5, 6, 7, 8). The invention suggests various methods and devices for automatically creating filter rules based on an artificial intelligence approach and provides a classification device (4) that can estimate a visibility degradation of newly gathered image data units (P*) by attributing a rank parameter (R*), thereby allowing to judge the reliability of vision sensor data.
机译:本发明涉及一种用于评估图像数据单元(PI)中的可视性劣化的分类技术。关于车辆(1,1')的环境(3)的图像数据单元(P1,P2,P3,P4)从视觉传感器(2,2')收集。图像数据单元(P1,P2,P3,P4)的至少共享包含基于至少一个视觉劣化影响(5,6,7,8)的可视性劣化的图像信息。本发明提出了基于人工智能方法自动创建过滤规则的各种方法和设备,并提供一种分类设备(4),该分类设备通过归因于秩参数来估计新收集的图像数据单元(P *)的可视性劣化(R *由此,允许判断视觉传感器数据的可靠性。

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