Integrity and Collaboration in Dynamic Sensor Networks

authored by: 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.
Organisation(s): Institute of Geodesy
Institute of Cartography and Geoinformatics
Geodetic Institute
Institute of Photogrammetry and GeoInformation (IPI)
Real Time Systems Section
Leibniz Research Centre FZ:GEO
Type: Article
Journal: Sensors (Switzerland)
Volume: 18
ISSN: 1424-8220
Publication date: 07.2018
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Analytical Chemistry, Biochemistry, Atomic and Molecular Physics, and Optics, Instrumentation, Electrical and Electronic Engineering
Electronic version(s): https://doi.org/10.3390/s18072400 (Access: Open)
: Details in the research portal "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",
}