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Cooperative inertial navigation for GNSS-Challenged vehicular environments

journal contribution
posted on 2024-11-02, 08:42 authored by Nima Alam, Allison Kealy, Andrew Dempster
Cooperative positioning (CP) is an approach for positioning and/or positioning enhancement among a number of participants, which communicate and fuse their position-related information. Due to the shortcomings of Global Navigation Satellite Systems (GNSSs), modern CP approaches are considered for improving vehicular positioning where the GNSS cannot address the requirements of the specific applications such as collision avoidance or lane-level positioning. An inertial navigation system (INS) has not been considered for CP in the literature. The hybrid INS/GNSS methods used for positioning enhancement in standalone nodes cannot be classified as CP because the position-related data are not communicated between at least two independent entities. In this paper, we present a novel CP technique to improve INS-based positioning in vehicular networks. This cooperative inertial navigation (CIN) method can be used to enhance INS-based positioning in difficult GNSS environments, such as in very dense urban areas and tunnels. In the CIN method that is proposed, vehicles communicate their inertial measurement unit (IMU) and INS-based position data with oncoming vehicles traveling in the opposite direction. Each vehicle fuses the received data with those locally observed and the carrier frequency offset (CFO) of the received packets to improve the accuracy of its position estimates. The proposed method is analyzed using simulations and is also experimentally verified. The experimental results show up to 72% improvement in positioning over the standalone INS-based method. © 2000-2011 IEEE.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1109/TITS.2013.2261063
  2. 2.
    ISSN - Is published in 15249050

Journal

IEEE Transactions on Intelligent Transportation Systems

Volume

14

Number

6517506

Issue

3

Start page

1370

End page

1379

Total pages

10

Publisher

IEEE

Place published

United States

Language

English

Copyright

© 2013 IEEE

Former Identifier

2006087423

Esploro creation date

2020-06-22

Fedora creation date

2019-01-31

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