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  4. Distributed Cooperative Localization with Efficient Pairwise Range Measurements
 
conference paper

Distributed Cooperative Localization with Efficient Pairwise Range Measurements

Quraishi, Anwar Ahmad  
•
Martinoli, Alcherio  
June 1, 2021
Proceedings of the 15th International Symposium on Distributed Autonomous Robotic Systems
15th International Symposium on Distributed Autonomous Robotic Systems (DARS-SWARM2021)

We present a method based on covariance intersection for cooperative localization with pairwise range-only relative measurements. Our method was designed for underwater robots equipped with an acoustic communication and ranging system. Range measurements are not sufficient to compute a complete relative $3$D position. Therefore, covariance intersection is performed in a transformed space along their relative estimated positions, while preserving cross-correlations between other state variables. Given the characteristics of the acoustic channel, only one robot can transmit data or a ranging request at a time, hence the pairwise limitation. We also present a heuristic for choosing a peer robot for a range measurement by maximizing mutual information. Our method places no further restrictions on the order, timing or scheduling of relative measurements. We evaluated our method for accuracy and consistency, and present results from simulations as well as outdoor experiments.

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Type
conference paper
DOI
10.1007/978-3-030-92790-5_11
Author(s)
Quraishi, Anwar Ahmad  
Martinoli, Alcherio  
Date Issued

2021-06-01

Published in
Proceedings of the 15th International Symposium on Distributed Autonomous Robotic Systems
Total of pages

14

Series title/Series vol.

Springer Proceedings in Advanced Robotics; 22

Start page

134

End page

147

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
DISAL  
Event nameEvent placeEvent date
15th International Symposium on Distributed Autonomous Robotic Systems (DARS-SWARM2021)

Kyoto, Japan (online)

June 1-4, 2021

Available on Infoscience
June 5, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/179846
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