Data-Driven Meets Navigation: Concepts, Models, and Experimental Validation

I. Klein

doi:10.1109/ISS55898.2022.9926294

Data-Driven Meets Navigation: Concepts, Models, and Experimental Validation

I. Klein

Department of Marine Technologies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The purpose of navigation is to determine the position, velocity, and orientation of manned and autonomous platforms, humans, and animals. Obtaining accurate navigation commonly requires fusion between several sensors, such as inertial sensors and global navigation satellite systems, in a model-based, nonlinear estimation framework. Recently, data-driven approaches applied in various fields show state-of-the-art performance, compared to model-based methods. In this paper we review multidisciplinary, data-driven based navigation algorithms developed and experimentally proven at the Autonomous Navigation and Sensor Fusion Lab (ANSFL) including algorithms suitable for human and animal applications, varied autonomous platforms, and multi-purpose navigation and fusion approaches.

Original language	English
Title of host publication	2022 DGON Inertial Sensors and Systems, ISS 2022 - Proceedings
Editors	Peter Hecker
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665490214
DOIs	https://doi.org/10.1109/ISS55898.2022.9926294
State	Published - 2022
Event	2022 DGON Inertial Sensors and Systems, ISS 2022 - Braunschweig, Germany Duration: 13 Sep 2022 → 14 Sep 2022

Publication series

Name	2022 DGON Inertial Sensors and Systems, ISS 2022 - Proceedings

Conference

Conference	2022 DGON Inertial Sensors and Systems, ISS 2022
Country/Territory	Germany
City	Braunschweig
Period	13/09/22 → 14/09/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

ASJC Scopus subject areas

Control and Optimization
Instrumentation

Access to Document

10.1109/ISS55898.2022.9926294

Cite this

@inproceedings{12c959ca36e44de191824abbd0f30363,

title = "Data-Driven Meets Navigation: Concepts, Models, and Experimental Validation",

abstract = "The purpose of navigation is to determine the position, velocity, and orientation of manned and autonomous platforms, humans, and animals. Obtaining accurate navigation commonly requires fusion between several sensors, such as inertial sensors and global navigation satellite systems, in a model-based, nonlinear estimation framework. Recently, data-driven approaches applied in various fields show state-of-the-art performance, compared to model-based methods. In this paper we review multidisciplinary, data-driven based navigation algorithms developed and experimentally proven at the Autonomous Navigation and Sensor Fusion Lab (ANSFL) including algorithms suitable for human and animal applications, varied autonomous platforms, and multi-purpose navigation and fusion approaches.",

author = "I. Klein",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 DGON Inertial Sensors and Systems, ISS 2022 ; Conference date: 13-09-2022 Through 14-09-2022",

year = "2022",

doi = "10.1109/ISS55898.2022.9926294",

language = "English",

series = "2022 DGON Inertial Sensors and Systems, ISS 2022 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Peter Hecker",

booktitle = "2022 DGON Inertial Sensors and Systems, ISS 2022 - Proceedings",

address = "United States",

}

Klein, I 2022, Data-Driven Meets Navigation: Concepts, Models, and Experimental Validation. in P Hecker (ed.), 2022 DGON Inertial Sensors and Systems, ISS 2022 - Proceedings. 2022 DGON Inertial Sensors and Systems, ISS 2022 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022 DGON Inertial Sensors and Systems, ISS 2022, Braunschweig, Germany, 13/09/22. https://doi.org/10.1109/ISS55898.2022.9926294

Data-Driven Meets Navigation: Concepts, Models, and Experimental Validation. / Klein, I.
2022 DGON Inertial Sensors and Systems, ISS 2022 - Proceedings. ed. / Peter Hecker. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 DGON Inertial Sensors and Systems, ISS 2022 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Data-Driven Meets Navigation

T2 - 2022 DGON Inertial Sensors and Systems, ISS 2022

AU - Klein, I.

PY - 2022

Y1 - 2022

N2 - The purpose of navigation is to determine the position, velocity, and orientation of manned and autonomous platforms, humans, and animals. Obtaining accurate navigation commonly requires fusion between several sensors, such as inertial sensors and global navigation satellite systems, in a model-based, nonlinear estimation framework. Recently, data-driven approaches applied in various fields show state-of-the-art performance, compared to model-based methods. In this paper we review multidisciplinary, data-driven based navigation algorithms developed and experimentally proven at the Autonomous Navigation and Sensor Fusion Lab (ANSFL) including algorithms suitable for human and animal applications, varied autonomous platforms, and multi-purpose navigation and fusion approaches.

AB - The purpose of navigation is to determine the position, velocity, and orientation of manned and autonomous platforms, humans, and animals. Obtaining accurate navigation commonly requires fusion between several sensors, such as inertial sensors and global navigation satellite systems, in a model-based, nonlinear estimation framework. Recently, data-driven approaches applied in various fields show state-of-the-art performance, compared to model-based methods. In this paper we review multidisciplinary, data-driven based navigation algorithms developed and experimentally proven at the Autonomous Navigation and Sensor Fusion Lab (ANSFL) including algorithms suitable for human and animal applications, varied autonomous platforms, and multi-purpose navigation and fusion approaches.

UR - http://www.scopus.com/inward/record.url?scp=85140354297&partnerID=8YFLogxK

U2 - 10.1109/ISS55898.2022.9926294

DO - 10.1109/ISS55898.2022.9926294

M3 - Conference contribution

AN - SCOPUS:85140354297

T3 - 2022 DGON Inertial Sensors and Systems, ISS 2022 - Proceedings

BT - 2022 DGON Inertial Sensors and Systems, ISS 2022 - Proceedings

A2 - Hecker, Peter

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 13 September 2022 through 14 September 2022

ER -

Data-Driven Meets Navigation: Concepts, Models, and Experimental Validation

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this