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Method for automated generation of road accident scene sketch based on data from mobile device camera

机译:基于来自移动设备摄像机的数据自动生成道路事故场景草图的方法

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The article proposes a method for the automated generation of a road traffic accident (RTA) scene sketch, which includes: video recording of vehicles involved in the traffic situation and the surroundings with a mobile device camera; map generation and reconstruction of the camera trajectory using the SLAM-method; comparison of the reconstructed 3D scene with the real dimensions of objects and their classification based on convolutional neural networks; setting the scale of the generated 3D scene and dimensioning the rest objects; conversion of the 3D model into a 2D RTA scene sketch.We present the results of a comparative analysis of the actual dimensions of objects at the RTA scene and their dimensions in the generated model, assessment of the accuracy of key objects’ classification, which allow us to state that the proposed solution may generate both a 3D RTA model and its 2D view in the form of an accident scene sketch. The obtained ratio between the actual dimensions of the surroundings and the 3D model makes it possible to calculate the distance between any objects and, if needed, to introduce data in the manual editing mode.
机译:本文提出了一种用于自动生成道路交通事故(RTA)场景草图的方法,包括:涉及交通状况的车辆的视频记录和移动设备相机的周围环境;使用SLAM方法映射相机轨迹的生成和重建;基于卷积神经网络的对象实际尺寸的重建3D场景的比较及其分类;设置生成的3D场景的比例,并尺寸为REST对象;将3D模型转换为2D RTA场景草图.WE呈现了RTA场景中对象实际尺寸的比较分析结果及其在所生成的模型中的尺寸,评估关键对象分类的准确性,允许我们要指出所提出的解决方案可以以事故场景草图的形式生成3D RTA模型及其2D视图。所获得的周边和3D模型之间的比率使得可以计算任何对象之间的距离,并且如果需要,可以在手动编辑模式下引入数据。

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