Literature Database Entry

jiranek2021automatic


Vivien Annabelle Jiranek, "Automatic Positioning of Street Signs from Map Data for Virtual Cycling Environment," Bachelor Thesis, School of Electrical Engineering and Computer Science (EECS), TU Berlin (TUB), August 2021. (Advisor: Lukas Stratmann; Referees: Falko Dressler and Thomas Sikora)


Abstract

To improve the safety of Vulnerable Road Users (VRUs), the most endangered traffic participants, research is carried out to gather data and develop new technologies. The Virtual Cycling Environment (VCE), consisting of a visualized 3D simulation environment that can be traversed by participants from a first person perspective by interacting with a connected physical bicycle training stand, provides the possibility of carrying out research in this field. Including more road infrastructure such as street signs may introduce a higher degree of realism and more information on the traffic context for the VCE participants, that could improve the quality of the gathered data. Therefore, this thesis adds a software component to the VCE to automatically generate street signs from real world OSM map data to visualize them in the 3D simulation environment. Two different methods were used to generate the eleven considered street sign types: a non-procedural generation based on the approximate positions of the street signs indicated in the data and a procedural generation using the roads’ infrastructural properties. The developed implementation proved to generate realistically placed virtual street signs in the VCE with plausible positions and orientations for all considered sign types. However, the correct representation of the real world street signs found in the areas included in the evaluation differed based on the generation method of each sign type and the completeness of the used OSM data.

Quick access

BibTeX BibTeX

Contact

Vivien Annabelle Jiranek

BibTeX reference

@phdthesis{jiranek2021automatic,
    author = {Jiranek, Vivien Annabelle},
    title = {{Automatic Positioning of Street Signs from Map Data for Virtual Cycling Environment}},
    advisor = {Stratmann, Lukas},
    institution = {School of Electrical Engineering and Computer Science (EECS)},
    location = {Berlin, Germany},
    month = {8},
    referee = {Dressler, Falko and Sikora, Thomas},
    school = {TU Berlin (TUB)},
    type = {Bachelor Thesis},
    year = {2021},
   }
   
   

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.

Last modified: 2024-03-28