Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2017 14th Workshop on Positioning, Navigation and Communications (WPNC) |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 1-6 |
| Seitenumfang | 6 |
| ISBN (elektronisch) | 9781538630891 |
| Publikationsstatus | Veröffentlicht - 11 Jan. 2018 |
| Veranstaltung | 14th Workshop on Positioning, Navigation and Communications, WPNC 2017 - Bremen, Deutschland Dauer: 25 Okt. 2017 → 26 Okt. 2017 |
Abstract
Collaborative Positioning (CP) describes a technique in which a group of dynamic nodes (pedestrians, vehicles, etc.) equipped with different sensors can increase their precision of the Positioning Navigation and Timing (PNT) information by exchanging navigation information as well as performing measurements between nodes or to elements of the environment. In addition, the elements of the environment (landmarks, buildings, etc.) are also considered in the network as a set of fixed nodes with known or only partially known coordinates. Hence, the navigation system can be considered as a geodetic network in which some of the nodes are changing their position. In this paper, we will discuss the implementation of a simulation tool to evaluate the benefits of collaborative positioning. The fact that several multi-sensor systems are included in the navigation situation, brings the necessity of a sensor measurement fusion algorithm for the parameter estimation of the different nodes. Here, we implement a batch algorithm that enables an easy study of correlations and dependencies between different parameters as well as the identification of critical observations in the sensor network for the overall performance. The current status of implementation is discussed and illustrated with a typical 2D car navigation scenario.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Steuerung und Optimierung
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Physik und Astronomie (insg.)
- Instrumentierung
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2017 14th Workshop on Positioning, Navigation and Communications (WPNC). Institute of Electrical and Electronics Engineers Inc., 2018. S. 1-6.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Development of a simulation tool for collaborative navigation systems
AU - Fernandez, Nicolas Garcia
AU - Schön, Steffen
N1 - Funding information: Acknowledgment This work was supported by the German Research Foundation (DFG) as a part of the Research Training Group i.c.sens [GRK2159].
PY - 2018/1/11
Y1 - 2018/1/11
N2 - Collaborative Positioning (CP) describes a technique in which a group of dynamic nodes (pedestrians, vehicles, etc.) equipped with different sensors can increase their precision of the Positioning Navigation and Timing (PNT) information by exchanging navigation information as well as performing measurements between nodes or to elements of the environment. In addition, the elements of the environment (landmarks, buildings, etc.) are also considered in the network as a set of fixed nodes with known or only partially known coordinates. Hence, the navigation system can be considered as a geodetic network in which some of the nodes are changing their position. In this paper, we will discuss the implementation of a simulation tool to evaluate the benefits of collaborative positioning. The fact that several multi-sensor systems are included in the navigation situation, brings the necessity of a sensor measurement fusion algorithm for the parameter estimation of the different nodes. Here, we implement a batch algorithm that enables an easy study of correlations and dependencies between different parameters as well as the identification of critical observations in the sensor network for the overall performance. The current status of implementation is discussed and illustrated with a typical 2D car navigation scenario.
AB - Collaborative Positioning (CP) describes a technique in which a group of dynamic nodes (pedestrians, vehicles, etc.) equipped with different sensors can increase their precision of the Positioning Navigation and Timing (PNT) information by exchanging navigation information as well as performing measurements between nodes or to elements of the environment. In addition, the elements of the environment (landmarks, buildings, etc.) are also considered in the network as a set of fixed nodes with known or only partially known coordinates. Hence, the navigation system can be considered as a geodetic network in which some of the nodes are changing their position. In this paper, we will discuss the implementation of a simulation tool to evaluate the benefits of collaborative positioning. The fact that several multi-sensor systems are included in the navigation situation, brings the necessity of a sensor measurement fusion algorithm for the parameter estimation of the different nodes. Here, we implement a batch algorithm that enables an easy study of correlations and dependencies between different parameters as well as the identification of critical observations in the sensor network for the overall performance. The current status of implementation is discussed and illustrated with a typical 2D car navigation scenario.
UR - http://www.scopus.com/inward/record.url?scp=85047327425&partnerID=8YFLogxK
U2 - 10.1109/wpnc.2017.8250074
DO - 10.1109/wpnc.2017.8250074
M3 - Conference contribution
AN - SCOPUS:85047327425
SP - 1
EP - 6
BT - 2017 14th Workshop on Positioning, Navigation and Communications (WPNC)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th Workshop on Positioning, Navigation and Communications, WPNC 2017
Y2 - 25 October 2017 through 26 October 2017
ER -