CVI-SLAM — Collaborative Visual-Inertial SLAM
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Date
2018-10
Publication Type
Journal Article
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yes
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Abstract
With robotic perception constituting the biggest impediment before robots are ready for employment in real missions, the promise of more efficient and robust robotic perception in multiagent, collaborative missions can have a great impact on many robotic applications. Employing an ubiquitous and well-established visual-inertial setup onboard each agent, in this letter, we propose CVI-SLAM, a novel visual-inertial framework for centralized collaborative simultaneous localization and mapping (SLAM). Sharing all information with a central server, each agent outsources computationally expensive tasks, such as global map optimization to relieve onboard resources and passes on measurements to other participating agents, while running visual-inertial odometry onboard to ensure autonomy throughout the mission. Thoroughly analyzing CVI-SLAM, we attest to its accuracy and the improvements arising from the collaboration, and evaluate its scalability in the number of participating agents and applicability in terms of network requirements.
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Publication status
published
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Journal / series
Volume
3 (4)
Pages / Article No.
2762 - 2769
Publisher
IEEE
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
SLAM; Computer Vision; Multi-robot systems; MULTI-AGENT SYSTEMS (ARTIFICIAL INTELLIGENCE)
Organisational unit
09559 - Chli, Margarita (ehemalig) / Chli, Margarita (former)
02620 - Inst. f. Robotik u. Intelligente Systeme / Inst. Robotics and Intelligent Systems