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A Toolchain for Extracting and Visualising Road Traffic Data

Authors
Neuschmied, Helmut; Krebs, Florian; Ladstätter, Stefan; Eder, Elisabeth; Berrazouane, Mohamed Redouane; Thallinger, Georg
Abstract:
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.
Title:
A Toolchain for Extracting and Visualising Road Traffic Data
Herausgeber (Verlag):
ACM
Publikationsdatum
2022-09

Publikationsreihe

Herausgeber(Verlag)
ACM
Proceedings
International Conference on Content-based Multimedia Indexing

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