Towards Ubiquitous Mapping and Localization for Dynamic Indoor Environments

Halim Djerroud, Nico Steyn, Olivier Rabreau, Patrick Bonnin, Abderraouf Benali

2025

Abstract

We present UbiSLAM, an innovative solution for real-time mapping and localization in dynamic indoor environments. By deploying a network of fixed RGB-D cameras strategically throughout the workspace, UbiSLAM addresses limitations commonly encountered in traditional SLAM systems, such as sensitivity to environmental changes and reliance on mobile unit sensors. This fixed-sensor approach enables real-time, comprehensive mapping, enhancing the localization accuracy and responsiveness of robots operating within the environment. The centralized map generated by UbiSLAM is continuously updated, providing robots with an accurate global view, which improves navigation, minimizes collisions, and facilitates smoother human-robot interactions in shared spaces. Beyond its advantages, UbiSLAM faces challenges, particularly in ensuring complete spatial coverage and managing blind spots, which necessitate data integration from the robots them-selves. In this paper we discusse a potential solutions, such as automatic calibration for optimal camera placement and orientation, along with enhanced communication protocols for real-time data sharing. The proposed model reduces the computational load on individual robotic units, allowing less complex robotic platforms to operate effectively while enhancing the robustness of the overall system.

Paper Citation

in Harvard Style

Djerroud H., Steyn N., Rabreau O., Bonnin P. and Benali A. (2025). Towards Ubiquitous Mapping and Localization for Dynamic Indoor Environments. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 537-548. DOI: 10.5220/0013245400003890

in Bibtex Style

@conference{icaart25,
author={Halim Djerroud and Nico Steyn and Olivier Rabreau and Patrick Bonnin and Abderraouf Benali},
title={Towards Ubiquitous Mapping and Localization for Dynamic Indoor Environments},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2025},
pages={537-548},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013245400003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Towards Ubiquitous Mapping and Localization for Dynamic Indoor Environments
SN - 978-989-758-737-5
AU - Djerroud H.
AU - Steyn N.
AU - Rabreau O.
AU - Bonnin P.
AU - Benali A.
PY - 2025
SP - 537
EP - 548
DO - 10.5220/0013245400003890
PB - SciTePress