道路交通数据提取和可视化工具链

Proceedings of the 19th International Conference on Content-based Multimedia Indexing Pub Date : 2022-09-14 DOI:10.1145/3549555.3549580

H. Neuschmied, Florian Krebs, Stefan Ladstätter, Elisabeth Eder, Mohamed Redouane Berrazouane, G. Thallinger

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引用次数: 0

摘要

我们展示了一个工具链，用于从多模态传感器中可视化详细的道路交通数据，包括(i)自动实时提取道路使用者的运动路径和来自交通监控摄像头或激光雷达传感器的值得注意的事件，(ii)从单个麦克风和麦克风阵列中提取音频事件，(iii)将提取的信息与地理信息系统(GIS)存储在一起的空间数据管理系统。(iv)基于网络的查看器，允许在交通环境的高清数字孪生背景下交互式可视化所有这些数据。这一系统能够收集大量关于道路使用的客观数据，并可用于规划交通设施的变化以及评估交通环境的变化。

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A Toolchain for Extracting and Visualising Road Traffic Data

We demonstrate a toolchain for visualising detailed road traffic data from multimodal sensors consisting of (i) the automatic, real-time extraction of movement paths of road users and noteworthy events from traffic monitoring cameras or LIDAR sensors, (ii) extraction of audio events from individual microphones and microphone arrays, (iii) a spatial data managment system storing the extracted information together with a geographic information system (GIS), and (iv) a web based viewer allowing to interactively visualise all these data in the context of a high-definition digital twin of the traffic environment. This system enables the collection of a considerable amount of objective data on road use and can be used for planning changes to traffic facilities as well as for assessing changes in the traffic environment.

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Proceedings of the 19th International Conference on Content-based Multimedia Indexing

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