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1.发明公开公开(公告)号：US20230342894A1
公开(公告)日：2023-10-26
申请号：US17757735
申请日：2020-12-09
CPC分类号： G06T5/50 , G06T5/001 , G06T2207/20081 , G06T2207/20084 , G06T2207/30252
摘要： The present disclosure relates to a machine learning method, to a method and to a device for converting input image data from a plurality of vehicle cameras of a panoramic-view system into optimized or enhanced output image data. The method for converting input image data from a plurality of vehicle cameras of a panoramic-view system into optimized or enhanced output image data includes input image data acquired by the vehicle cameras and having a current brightness or color distribution provided to a trained artificial neural network. The trained artificial neural network is configured to convert the input image data having the current brightness or color distribution into optimized or enhanced output image data having different output brightness or color distribution; and the trained artificial neural network is configured to output the output image data.
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公开(公告)号：US20230394844A1
公开(公告)日：2023-12-07
申请号：US18250201
申请日：2021-10-19
摘要： There is disclosed a method and a device for avoiding accidents caused by wild animals crossing at dusk and at night by a vehicle-mounted camera system. The method for the brightness conversion of input image data of the camera into output image data includes the following steps: a) capturing input image data of a current brightness of a roadway and an adjacent region to the side of the roadway by f a vehicle-mounted camera system at dusk or at night, b) converting the input image data into output image data with a different brightness by a trained artificial neural network, and c) outputting the output image data so that the output image data can be displayed to the driver of the vehicle for the purpose of avoiding accidents involving wild animals or so that a wild animal can be recognized from the output image data by an image recognition function.
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3.发明公开公开(公告)号：US20240029444A1
公开(公告)日：2024-01-25
申请号：US18257659
申请日：2021-12-03
CPC分类号： G06V20/56 , B60W40/02 , G06V10/82 , B60W2555/20
摘要： The invention relates to correcting input image data, from a plurality of cameras of a vehicle panoramic-view system. includes: capturing input image data by the cameras, which are negatively influenced by rain, incident light and/or dirt, and providing to a trained artificial neural network, converting, by the trained network, the input image data into corrected output image data without negative influence, determining a certainty measure which is dependent on the degree of wetting by water, incident light and/or contamination for an image of the input image data, and characterizing the certainty of the trained network that the image correction of the network is accurate, and outputting, by the trained network, the output image data and the determined certainty measure. The method advantageously allows object recognition when cameras are fogged up and generation of an image data stream for human and computer vision from a network for an optimized correspondence search.
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