Multi-Agent Monocular SLAM

Pieter Beerten; Charles Hamesse; Charles Hamesse; Rob Haelterman

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Multi-Agent Monocular SLAM

Topics: Autonomous Systems; Mobile Agents; Multi-Agent Systems; Robot and Multi-Robot Systems; Vision and Perception

In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, 213-220, 2024 , Rome, Italy

Authors: Pieter Beerten ¹ ; Charles Hamesse ^{2

;

1} and Rob Haelterman ¹

Affiliations: ¹ Department of Mathematics, Royal Military Academy, Belgium ; ² imec - IPI - URC, Ghent University, Belgium

Keyword(s): SLAM, Bundle Adjustment, Multi-Agent, Monocular Vision, Optimization.

Abstract: This article describes the development of an optimization method for multi-agent monocular SLAM systems. These systems allow autonomous robots to create a map of an unknown environment and to simultaneously localize themselves within it. The proposed multi-agent system combines measurements made by independent agents to increase the accuracy of the estimated poses of the agents and the created map. Our method is based on the single-agent monocular ORB-SLAM2 framework, and we develop a complete multi-agent optimization post-processing algorithm, effectively refining all camera trajectories and map points. Our experiments on the EuRoC machine hall dataset show that we can successfully combine the information of multiple SLAM agents to increase the accuracy of the estimated trajectories.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.189.186.247

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Beerten, P.; Hamesse, C. and Haelterman, R. (2024). Multi-Agent Monocular SLAM. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-680-4; ISSN 2184-433X, SciTePress, pages 213-220. DOI: 10.5220/0012320000003636

@conference{icaart24,
author={Pieter Beerten. and Charles Hamesse. and Rob Haelterman.},
title={Multi-Agent Monocular SLAM},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2024},
pages={213-220},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012320000003636},
isbn={978-989-758-680-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Multi-Agent Monocular SLAM
SN - 978-989-758-680-4
IS - 2184-433X
AU - Beerten, P.
AU - Hamesse, C.
AU - Haelterman, R.
PY - 2024
SP - 213
EP - 220
DO - 10.5220/0012320000003636
PB - SciTePress