首页> 外国专利> A METHOD AND AN APPARATUS FOR COMPUTER-IMPLEMENTED ANALYZING OF A ROAD TRANSPORT ROUTE

A METHOD AND AN APPARATUS FOR COMPUTER-IMPLEMENTED ANALYZING OF A ROAD TRANSPORT ROUTE

机译:一种用于计算机实现的公路运输路径的分析的方法和装置

摘要

The invention refers to a method for computer-implemented analyzing of a road transport route intended to be used for transport of a heavy load (HL) from an origin to a destination. The invention comprises the steps of i) obtaining a number of images (IM) of the transport route (TR), the number of images (IM) being images taken by a drone or satellite camera system, where each of the number of images (IM) comprises a different road section (RS) of the complete transport route (TR) and an peripheral area (PA) adjacent to the respective road section (RS); ii) determining objects (O) and their location in the peripheral area (PA) of the road section (RS) by processing each of the number of images (IM) by a first trained data driven model (MO_1), where the number of images (IM) is fed as a digital input to the first trained data driven model (MO_1) and where the first trained data driven model (MO_1) provides the objects (O), if any, and their location as a digital output; and iii) determining critical objects (CO) from the number of determined objects (O) along the road transport route (TR), the critical objects (CO) being potential obstacles for road transportation due to overlap with the heavy load, by a simulation of the transport along the road transport route (TR) by processing at least those images, as relevant images (RIM), of the number of images (IM) having at least one determined object using a second trained data driven model (MO_2), where the number of relevant images (RIM) is fed as a digital input to the second trained data driven model (MO_2) and the second trained data driven model (MO_2) provides the critical objects (CO).
机译:本发明涉及一种用于计算机实施的分析旨在用于将重型负载(HL)传输到目的地的公路运输路线的方法。本发明包括I)的步骤获得了传输路径(TR)的多个图像(IM),图像(IM)的数量是由无人机或卫星相机系统拍摄的图像,其中每个图像数量( IM)包括完整的运输路线(Tr)的不同的道路部分(RS)和与各个道路部分(RS)相邻的外围区域(PA); ii)通过在由第一训练的数据驱动的模型(Mo_1)处理的每个图像数(IM)中,确定路段(RS)的外围区域(PA)中的对象(O)及其位置。图像(IM)被馈送为第一训练的数据驱动模型(MO_1)的数字输入,并且第一训练的数据驱动模型(MO_1)提供对象(O),如果有的话,如果有的话,并且它们作为数字输出的位置;和III)从道路运输路线(TR)的确定物体(O)的数量确定关键物体(CO),临界物体(CO)由于仿真,由于重叠而导致道路运输的潜在障碍通过处理至少那些类似图像(RIM)的图像(IM)的相同图像(IM)的相关图像(RIM)使用第二训练的数据驱动模型(MO_2)来沿着道路运输路线(TR)的运输(TR)的运输。当相关图像(RIM)的数量被馈送为第二训练的数据驱动模型(MO_2)和第二训练的数据驱动模型(MO_2)提供关键对象(CO)。

著录项

  • 公开/公告号EP3855114A1

    专利类型

  • 公开/公告日2021-07-28

    原文格式PDF

  • 申请/专利权人 SIEMENS GAMESA RENEWABLE ENERGY A/S;

    申请/专利号EP20200153142

  • 发明设计人 GOLLNICK BERT;

    申请日2020-01-22

  • 分类号G01C11/02;B60P3/40;F03D13/40;G01C11/04;G06Q10/06;G06N3;

  • 国家 EP

  • 入库时间 2022-08-24 20:12:28

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