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Title:

Roadside LiDAR Sensors for Data Privacy Conform VRU Detection

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Ilic, Mario; Margreiter, Martin; Alvarez-Ossorio, Santiago; Pechinger, Mathias; Bogenberger, Klaus
Pages contribution:
340-343
Chapter contribution:
Category 14: Safety
Abstract:
Detailed and reliable data is crucial to ensure the efficient, reliable, and safe operation of future transportation networks. However, the more detailed the information about traffic participants is, the less data privacy regarding individual mobility patterns or identification of individuals is typically guaranteed. This work presents the use of roadside LiDAR sensors for the detection and tracking of vulnerable road users (VRU) and vehicles in a privacy-compliant way based on an exemplary har...     »
Keywords:
LiDAR, Light Detection and Ranging, VRU, Vulnerable Road Users, Data Collection
Book / Congress title:
9th International Symposium on Transportation Data & Modelling (ISTDM2023)
Organization:
Joint Research Center JRC
Date of congress:
2023-06-20
Year:
2023
Reviewed:
ja
Language:
en
WWW:
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TUM Institution:
Lehrstuhl für Verkehrstechnik
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