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Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Álvarez-Ossorio Martinez, Santiago; Margreiter, Martin
Title:
Predicting Pedestrian Crossing Intention at Signalized Intersections Using Roadside LiDAR Sensors
Abstract:
Detecting, tracking, and predicting pedestrians crossing intention as they approach an intersection could increase the safety and efficiency of signalized intersections. LiDAR (Light Detection And Ranging) traffic sensors, capable of detecting, classifying and tracking objects, could play an essential role in multimodal intelligent infrastructure. In particular, they could complement or even substitute existing traffic sensors such as inductive loops or pedestrian push-buttons. In this paper, w...     »
Keywords:
roadside LiDAR, pedestrian crossing intention, signalized intersection, pedestrian prediction
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Editor:
The National Academies of Sciences, Engineering, and Medicine
Book / Congress title:
102nd Annual Meeting of the Transportation Resarch Board (TRBAM)
Date of congress:
08.01. - 12.01.2023
Date of publication:
10.01.2023
Year:
2023
Language:
en
TUM Institution:
Lehrstuhl für Verkehrstechnik
Format:
Text
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