Integrity and Collaboration in Dynamic Sensor Networks

verfasst von: Steffen Schön, Claus Brenner, Hamza Alkhatib, Max Coenen, Hani Dbouk, Nicolas Garcia-Fernandez, Colin Fischer, Christian Heipke, Katja Lohmann, Ingo Neumann, Uyen Nguyen, Jens André Paffenholz, Torben Peters, Franz Rottensteiner, Julia Schachtschneider, Monika Sester, Ligang Sun, Sören Vogel, Raphael Voges, Bernardo Wagner
Abstract: Global Navigation Satellite Systems (GNSS) deliver absolute position and velocity, as well as time information (P, V, T). However, in urban areas, the GNSS navigation performance is restricted due to signal obstructions and multipath. This is especially true for applications dealing with highly automatic or even autonomous driving. Subsequently, multi-sensor platforms including laser scanners and cameras, as well as map data are used to enhance the navigation performance, namely in accuracy, integrity, continuity and availability. Although well-established procedures for integrity monitoring exist for aircraft navigation, for sensors and fusion algorithms used in automotive navigation, these concepts are still lacking. The research training group i.c.sens, integrity and collaboration in dynamic sensor networks, aims to fill this gap and to contribute to relevant topics. This includes the definition of alternative integrity concepts for space and time based on set theory and interval mathematics, establishing new types of maps that report on the trustworthiness of the represented information, as well as taking advantage of collaboration by improved filters incorporating person and object tracking. In this paper, we describe our approach and summarize the preliminary results.
Organisationseinheit(en): Institut für Erdmessung
Institut für Kartographie und Geoinformatik
Geodätisches Institut
Institut für Photogrammetrie und Geoinformation
Fachgebiet Echtzeitsysteme
Leibniz Forschungszentrum FZ:GEO
Typ: Artikel
Journal: Sensors (Switzerland)
Band: 18
ISSN: 1424-8220
Publikationsdatum: 07.2018
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Analytische Chemie, Biochemie, Atom- und Molekularphysik sowie Optik, Instrumentierung, Elektrotechnik und Elektronik
Elektronische Version(en): https://doi.org/10.3390/s18072400 (Zugang: Offen)
: Details im Forschungsportal „Research@Leibniz University“

BibTeX

@article{73b52e6f37e6414791b8793dcc621739,
title = "Integrity and Collaboration in Dynamic Sensor Networks",
abstract = "Global Navigation Satellite Systems (GNSS) deliver absolute position and velocity, as well as time information (P, V, T). However, in urban areas, the GNSS navigation performance is restricted due to signal obstructions and multipath. This is especially true for applications dealing with highly automatic or even autonomous driving. Subsequently, multi-sensor platforms including laser scanners and cameras, as well as map data are used to enhance the navigation performance, namely in accuracy, integrity, continuity and availability. Although well-established procedures for integrity monitoring exist for aircraft navigation, for sensors and fusion algorithms used in automotive navigation, these concepts are still lacking. The research training group i.c.sens, integrity and collaboration in dynamic sensor networks, aims to fill this gap and to contribute to relevant topics. This includes the definition of alternative integrity concepts for space and time based on set theory and interval mathematics, establishing new types of maps that report on the trustworthiness of the represented information, as well as taking advantage of collaboration by improved filters incorporating person and object tracking. In this paper, we describe our approach and summarize the preliminary results.",
keywords = "Camera, Collaboration, GNSS, Integrity, Interval mathematics, Laser scanner, Set theory",
author = "Steffen Sch{\"o}n and Claus Brenner and Hamza Alkhatib and Max Coenen and Hani Dbouk and Nicolas Garcia-Fernandez and Colin Fischer and Christian Heipke and Katja Lohmann and Ingo Neumann and Uyen Nguyen and Paffenholz, {Jens Andr{\'e}} and Torben Peters and Franz Rottensteiner and Julia Schachtschneider and Monika Sester and Ligang Sun and S{\"o}ren Vogel and Raphael Voges and Bernardo Wagner",
note = "Funding information: This work was funded by the German Research Foundation (DFG) as a part of the Research Training Group i.c.sens (GRK2159).",
year = "2018",
month = jul,
doi = "10.3390/s18072400",
language = "English",
volume = "18",
journal = "Sensors (Switzerland)",
issn = "1424-8220",
publisher = "Multidisciplinary Digital Publishing Institute",
number = "7",
}