Ground and Aerial Mutual Localization Using Anonymous Relative-Bearing Measurements

Paolo Stegagno, Marco Cognetti, Giuseppe Oriolo, Heinrich Bulthoff, Antonio Franchi

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

We present a decentralized algorithm for estimating mutual poses (relative positions and orientations) in a group of mobile robots. The algorithm uses relative-bearing measurements, which, for example, can be obtained from onboard cameras, and information about the motion of the robots, such as inertial measurements. It is assumed that all relative-bearing measurements are anonymous; i.e., each specifies a direction along which another robot is located but not its identity. This situation, which is often ignored in the literature, frequently arises in practice and remarkably increases the complexity of the problem. The proposed solution is based on a two-step approach: in the first step, the most likely unscaled relative configurations with identities are computed from anonymous measurements by using geometric arguments, while in the second step, the scale is determined by numeric Bayesian filtering based on the motion model. The solution is first developed for ground robots in SE (2) and then for aerial robots in SE (3). Experiments using Khepera III ground mobile robots and quadrotor aerial robots confirm that the proposed method is effective and robust w.r.t. false positives and negatives of the relative-bearing measuring process.

Original languageEnglish
Article number7562373
JournalIEEE Transactions on Robotics
VolumePP
Issue number99
DOIs
Publication statusPublished - 2016 Sep 7
Externally publishedYes

Fingerprint

Bearings (structural)
Antenna grounds
Robots
Antennas
Mobile robots
Cameras

Keywords

  • Aerial robots
  • anonymous measurements
  • bearing-only sensors
  • ground robots
  • multirobot systems
  • mutual localization
  • unknown data-association

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Ground and Aerial Mutual Localization Using Anonymous Relative-Bearing Measurements. / Stegagno, Paolo; Cognetti, Marco; Oriolo, Giuseppe; Bulthoff, Heinrich; Franchi, Antonio.

In: IEEE Transactions on Robotics, Vol. PP, No. 99, 7562373, 07.09.2016.

Research output: Contribution to journalArticle

Stegagno, Paolo ; Cognetti, Marco ; Oriolo, Giuseppe ; Bulthoff, Heinrich ; Franchi, Antonio. / Ground and Aerial Mutual Localization Using Anonymous Relative-Bearing Measurements. In: IEEE Transactions on Robotics. 2016 ; Vol. PP, No. 99.
@article{cf04216ad2d54bb5bb41e659c4697fd7,
title = "Ground and Aerial Mutual Localization Using Anonymous Relative-Bearing Measurements",
abstract = "We present a decentralized algorithm for estimating mutual poses (relative positions and orientations) in a group of mobile robots. The algorithm uses relative-bearing measurements, which, for example, can be obtained from onboard cameras, and information about the motion of the robots, such as inertial measurements. It is assumed that all relative-bearing measurements are anonymous; i.e., each specifies a direction along which another robot is located but not its identity. This situation, which is often ignored in the literature, frequently arises in practice and remarkably increases the complexity of the problem. The proposed solution is based on a two-step approach: in the first step, the most likely unscaled relative configurations with identities are computed from anonymous measurements by using geometric arguments, while in the second step, the scale is determined by numeric Bayesian filtering based on the motion model. The solution is first developed for ground robots in SE (2) and then for aerial robots in SE (3). Experiments using Khepera III ground mobile robots and quadrotor aerial robots confirm that the proposed method is effective and robust w.r.t. false positives and negatives of the relative-bearing measuring process.",
keywords = "Aerial robots, anonymous measurements, bearing-only sensors, ground robots, multirobot systems, mutual localization, unknown data-association",
author = "Paolo Stegagno and Marco Cognetti and Giuseppe Oriolo and Heinrich Bulthoff and Antonio Franchi",
year = "2016",
month = "9",
day = "7",
doi = "10.1109/TRO.2016.2593454",
language = "English",
volume = "PP",
journal = "IEEE Transactions on Robotics",
issn = "1552-3098",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "99",

}

TY - JOUR

T1 - Ground and Aerial Mutual Localization Using Anonymous Relative-Bearing Measurements

AU - Stegagno, Paolo

AU - Cognetti, Marco

AU - Oriolo, Giuseppe

AU - Bulthoff, Heinrich

AU - Franchi, Antonio

PY - 2016/9/7

Y1 - 2016/9/7

N2 - We present a decentralized algorithm for estimating mutual poses (relative positions and orientations) in a group of mobile robots. The algorithm uses relative-bearing measurements, which, for example, can be obtained from onboard cameras, and information about the motion of the robots, such as inertial measurements. It is assumed that all relative-bearing measurements are anonymous; i.e., each specifies a direction along which another robot is located but not its identity. This situation, which is often ignored in the literature, frequently arises in practice and remarkably increases the complexity of the problem. The proposed solution is based on a two-step approach: in the first step, the most likely unscaled relative configurations with identities are computed from anonymous measurements by using geometric arguments, while in the second step, the scale is determined by numeric Bayesian filtering based on the motion model. The solution is first developed for ground robots in SE (2) and then for aerial robots in SE (3). Experiments using Khepera III ground mobile robots and quadrotor aerial robots confirm that the proposed method is effective and robust w.r.t. false positives and negatives of the relative-bearing measuring process.

AB - We present a decentralized algorithm for estimating mutual poses (relative positions and orientations) in a group of mobile robots. The algorithm uses relative-bearing measurements, which, for example, can be obtained from onboard cameras, and information about the motion of the robots, such as inertial measurements. It is assumed that all relative-bearing measurements are anonymous; i.e., each specifies a direction along which another robot is located but not its identity. This situation, which is often ignored in the literature, frequently arises in practice and remarkably increases the complexity of the problem. The proposed solution is based on a two-step approach: in the first step, the most likely unscaled relative configurations with identities are computed from anonymous measurements by using geometric arguments, while in the second step, the scale is determined by numeric Bayesian filtering based on the motion model. The solution is first developed for ground robots in SE (2) and then for aerial robots in SE (3). Experiments using Khepera III ground mobile robots and quadrotor aerial robots confirm that the proposed method is effective and robust w.r.t. false positives and negatives of the relative-bearing measuring process.

KW - Aerial robots

KW - anonymous measurements

KW - bearing-only sensors

KW - ground robots

KW - multirobot systems

KW - mutual localization

KW - unknown data-association

UR - http://www.scopus.com/inward/record.url?scp=85029134176&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85029134176&partnerID=8YFLogxK

U2 - 10.1109/TRO.2016.2593454

DO - 10.1109/TRO.2016.2593454

M3 - Article

VL - PP

JO - IEEE Transactions on Robotics

JF - IEEE Transactions on Robotics

SN - 1552-3098

IS - 99

M1 - 7562373

ER -