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Titel:

Data Collection and Processing of Multimodal Trajectories Collected by Aerial Drones

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Kutsch, Alexander; Margreiter, Martin; Bogenberger, Klaus
Abstract:
This study focuses on the data gathered and processed by a large-scale aerial drone observation in the city of Munich, Germany, continuously for several hours a day and several days with all together twelve camera-equipped aerial drones. The aim was to generate a continuous data set including various interactions of different modes like manual and automated cars as well as active mobility users like pedestrians and cyclists. For this purpose, the urban area drone footage covers trajectories...     »
Stichworte:
Drone, Aerial Observation, Interaction of Different Modes, Big Data, Open Data
Kongress- / Buchtitel:
9th International Symposium on Transportation Data & Modelling (ISTDM2023)
Ausrichter der Konferenz:
Joint Research Center JRC
Datum der Konferenz:
2023-06-20
Jahr:
2023
Reviewed:
ja
Sprache:
en
TUM Einrichtung:
Lehrstuhl für Verkehrstechnik
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