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Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of Vehicles

Ponte Müller, Fabian (2017) Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of Vehicles. Sensors, 17 (271). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/s17020271. ISSN 1424-8220.

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Official URL: http://www.mdpi.com/1424-8220/17/2/271


Future driver assistance systems will rely on accurate, reliable and continuous knowledge on the position of other road participants, including pedestrians, bicycles and other vehicles. The usual approach to tackle this requirement is to use on-board ranging sensors inside the vehicle. Radar, laser scanners or vision based systems are able to detect objects in their line-of-sight. In contrast to these non-cooperative ranging sensors, cooperative approaches follow a strategy in which other road participants actively support the estimation of the relative position. The limitations of on-board ranging sensors regarding their detection range and angle of view and the facility of blockage can be approached by using a cooperative approach based on vehicle-to-vehicle communication. The fusion of both, cooperative and non-cooperative strategies, seems to offer the largest benefits regarding accuracy, availability and robustness. This survey gives the reader a comprehensive review about the performance and limitations of commercially available radar sensors and laser scanners and a summary on the current research in the area of vision-based systems. Moreover, the state-of-the-art in GNSS-based vehicle localization techniques and the latest findings in vehicular communication are reviewed and put into the context of vehicle relative positioning.

Item URL in elib:https://elib.dlr.de/109545/
Document Type:Article
Title:Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of Vehicles
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Ponte Müller, FabianUNSPECIFIEDhttps://orcid.org/0000-0002-2215-2174UNSPECIFIED
Date:31 January 2017
Journal or Publication Title:Sensors
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
EditorsEmailEditor's ORCID iDORCID Put Code
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Keywords:vehicle sensors; perception; radar; laser scanner; GNSS; cooperative; vehicle-to-vehicle; relative positioning; localization
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Terrestrial Vehicles (old)
DLR - Research area:Transport
DLR - Program:V BF - Bodengebundene Fahrzeuge
DLR - Research theme (Project):V - Fahrzeugintelligenz (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: de Ponte Müller, Dr. Fabian
Deposited On:16 Dec 2016 13:52
Last Modified:31 Oct 2023 07:20

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