TU Berlin

Main document

Literature Database Entry


Falko Dressler, "Integrating Haptic Signals with V2X-based Safety Systems for Vulnerable Road Users," Invited Talk, IEEE International Conference on Computing, Networking and Communications (ICNC 2020), Big Island, HI, February 20, 2020.


We study Vehicle to Everything (V2X)-based road traffic safety systems for Vulnerable Road Users (VRUs), par- ticularly focusing on cyclists. The development of Advanced Driver Assistance Systems (ADAS) is usually first done with the help of computer simulation. For VRUs, this lacks suitable mobility models. Furthermore, real-world experimentation is often infeasible due to the immediate danger the test participants would be put into. As a solution, we propose a human-in-the-loop approach. We extended our Virtual Cycling Environment (VCE) to integrate a variety of signals to inform a cyclist riding a real bike on a training stand in a simulated 3D traffic scenario. A particular focus was put on haptic signals, which seem to be best suitable in complex traffic situations.

Quick access

BibTeX BibTeX


Falko Dressler

BibTeX reference

    author = {Dressler, Falko},
    title = {{Integrating Haptic Signals with V2X-based Safety Systems for Vulnerable Road Users}},
    howpublished = {Invited Talk},
    publisher = {IEEE International Conference on Computing, Networking and Communications (ICNC 2020)},
    location = {Big Island, HI},
    day = {20},
    month = {02},
    year = {2020},

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.


Featured Paper