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

Auswirkungen des automatisierten und vernetzten Fahrens auf die Fahrzeugsicherheit

Leich, Andreas and Lüdtke, Richard and Wodtke, Axel and Knake-Langhorst, Sascha and Scherer, Frank and Hesse, Martin (2023) Auswirkungen des automatisierten und vernetzten Fahrens auf die Fahrzeugsicherheit. In: VDI Wissensforum, 2426, pp. 285-302. Auswirkungen des automatisierten und vernetzten Fahrens auf die Fahrzeugsicherheit. 14. VDI Tagung Fahrzeugsicherheit, 2023-11-08 - 2023-11-09, Berlin. ISBN 978-3-18-092426-7. ISSN 0083-5560.

[img] PDF - Only accessible within DLR

Official URL: https://www.vdi-wissensforum.de


One of the key challenges for transforming the automotive sector towards connected and automated vehicles (CAV) in road transport and gaining widespread acceptance is ensuring that vehicles reliably perceive their environment. A variety of sensors are currently used for this purpose, including cameras, Radar-, LiDAR- and ultrasonic sensors. Each sensor type has its own strengths and weaknesses, and there is often a need to combine them to ensure the most accurate and reliable perception of complex traffic situations. For the necessary environment perception, the approach of an on-board sensor system is currently primarily used. In contrast, the project "Managed Automated Driving Urban" (MAD Urban), which is funded by the BMWK, addresses the concept of infrastructure-based cooperative environment perception (Collective Perception) by means of Road Capturing Units (RCU). The positioning of these RCUs can be adapted to the complex environmental situations on site in such a way that the relevant detection areas are covered in the best possible way at all times. Traffic objects and traffic flow are detected early and critical traffic situations are detected on the infrastructure side, in some cases before they can be recognized by the driver or a vehicle sensor system. All data is analyzed and sent to the road users via communication units. The sensors installed on the infrastructure side thus increase traffic safety, especially for Vulnerable Road Users (VRU), enable maneuver planning for CAV and optimize the overall traffic flow. The paper reflects the state of the art regarding MAD and provides an overview of the activities and first results of the MAD Urban project. The focus is on the presentation of the metrological infrastructure, its integration into the information technology architecture, and the design in the context of the specific use cases of CAV at complex urban intersections.

Item URL in elib:https://elib.dlr.de/201036/
Document Type:Conference or Workshop Item (Speech)
Title:Auswirkungen des automatisierten und vernetzten Fahrens auf die Fahrzeugsicherheit
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Leich, AndreasUNSPECIFIEDhttps://orcid.org/0000-0001-5242-2051148796842
Knake-Langhorst, SaschaUNSPECIFIEDhttps://orcid.org/0000-0001-7399-0939148796843
Date:9 November 2023
Journal or Publication Title:VDI Wissensforum
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 285-302
Publisher:Auswirkungen des automatisierten und vernetzten Fahrens auf die Fahrzeugsicherheit
Series Name:VDI Berichte
Keywords:Connected Automated Driving, Traffic Safety, Automatisiertes und Vernetztes Fahren, Verkehrssicherheit
Event Title:14. VDI Tagung Fahrzeugsicherheit
Event Location:Berlin
Event Type:national Conference
Event Start Date:8 November 2023
Event End Date:9 November 2023
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 - KoKoVI - Koordinierter kooperativer Verkehr mit verteilter, lernender Intelligenz
Location: Berlin-Adlershof , Braunschweig
Institutes and Institutions:Institute of Transportation Systems
Institute of Transportation Systems > Information Gathering and Modelling, BA
Institute of Transportation Systems > Information Gathering and Modelling, BS
Institute of Transportation Systems > Research Infrastructure Management, BS
Deposited By: Leich, Dr.-Ing. Andreas
Deposited On:15 Dec 2023 14:34
Last Modified:24 Apr 2024 21:01

Repository Staff Only: item control page

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