elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Accessibility | Contact | Deutsch
Fontsize: [-] Text [+]

Robust Localization and Tracking of VRUs with Radar and Ultra-Wideband Sensors for Traffic Safety

Raslan, Mouhamed Aghiad and Schmidhammer, Martin and Rashdan, Ibrahim and de Ponte Müller, Fabian and Uhlich, Tobias and Becker, Andreas (2026) Robust Localization and Tracking of VRUs with Radar and Ultra-Wideband Sensors for Traffic Safety. Sensors, 26 (5). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/s26051690. ISSN 1424-8220.

[img] PDF - Published version
8MB

Abstract

The increasing risk to Vulnerable Road Users (VRUs) in urban environments, especially at intersections, necessitates advanced safety mechanisms that can operate effectively under diverse and complex conditions including but limited to heavy rain. This paper presents a novel approach to enhancing VRU protection by integrating radar sensors and Ultra-Wideband (UWB) technology, which is a candidate technology for Joint Communication and Sensing (JCS), through sensor fusion. The research, conducted under the VIDETEC-2 project, addresses the limitations of existing vehicle-based and infrastructure-based systems, particularly in scenarios involving occlusions and blind spots. By leveraging the robustness of radar in various environmental conditions and the precision and cost effectiveness of UWB in short-range communication and localization, the proposed system significantly improves the detection and tracking of VRUs within a cost-effective framework. The fusion of these sensor modalities, managed through a hybrid Kalman filter approach, where it integrates the Unscented Kalman Filter (UKF) and the Extended Kalman Filter (EKF), to ensure reliable VRU tracking even in challenging urban scenarios. The experimental results demonstrate a reduction in tracking uncertainty and highlight the system's potential to serve as a more accurate and responsive safety mechanism for VRUs at intersections. This work contributes to the development of intelligent road infrastructures, laying the foundation for future advancements in urban traffic safety.

Item URL in elib:https://elib.dlr.de/223222/
Document Type:Article
Title:Robust Localization and Tracking of VRUs with Radar and Ultra-Wideband Sensors for Traffic Safety
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Raslan, Mouhamed Aghiadmouhamed.raslan (at) fh-dortmund.deUNSPECIFIEDUNSPECIFIED
Schmidhammer, Martinmartin.schmidhammer (at) dlr.dehttps://orcid.org/0000-0002-9345-142X208004140
Rashdan, IbrahimIbrahim.Rashdan (at) dlr.dehttps://orcid.org/0000-0001-9208-8078UNSPECIFIED
de Ponte Müller, FabianFabian.PonteMueller (at) dlr.dehttps://orcid.org/0000-0002-2215-2174UNSPECIFIED
Uhlich, Tobiastobias.uhlich (at) fh-dortmund.deUNSPECIFIEDUNSPECIFIED
Becker, Andreasandreas.becker (at) fh-dortmund.deUNSPECIFIEDUNSPECIFIED
Date:7 March 2026
Journal or Publication Title:Sensors
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:26
DOI:10.3390/s26051690
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:1424-8220
Status:Published
Keywords:traffic safety; radar; UWB; Vulnerable Road User (VRU); sensor fusion; Kalman filter
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - ACT4Transformation - Automated and Connected Technologies for Mobility Transformation
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Schmidhammer, Dr. Martin
Deposited On:10 Mar 2026 14:23
Last Modified:10 Mar 2026 14:23

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
OpenAIRE Validator logo electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.