A Modular Detection System for Smart Cities: Integrating Monocular and LiDAR Solutions for Scalable Traffic Monitoring

Javier Borau-Bernad, Álvaro Ramajo-Ballester, José María Armingol Moreno, Araceli Sanchis de Miguel

2025

Abstract

As smart cities continue to develop, they require scalable and efficient traffic monitoring systems. This paper presents a modular detection system that switches between monocular and multimodal modes, depending on the available sensors. The monocular mode, based on the MonoLSS algorithm, offers a cost-effective vehicle detection solution using a single camera, ideal for simpler or low-budget setups. In contrast, the multimodal mode integrates camera and LiDAR data via the MVX-Net model, enhancing 3D accuracy in complex traffic scenarios. This dual-mode flexibility allows smart cities to adapt the system to their infrastructure and budgetary needs, ensuring scalability as urban demands evolve. Inference results demonstrate the superior accuracy of the multimodal approach in challenging environments while validating the efficiency of the monocular mode for simpler settings. Therefore, the modular detection system offers a flexible solution that optimizes both cost and performance, effectively addressing the varied requirements of smart city traffic management.

Paper Citation

in Harvard Style

Borau-Bernad J., Ramajo-Ballester Á., Moreno J. and Sanchis de Miguel A. (2025). A Modular Detection System for Smart Cities: Integrating Monocular and LiDAR Solutions for Scalable Traffic Monitoring. In Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS; ISBN 978-989-758-745-0, SciTePress, pages 326-333. DOI: 10.5220/0013195200003941

in Bibtex Style

@conference{vehits25,
author={Javier Borau-Bernad and Álvaro Ramajo-Ballester and José Moreno and Araceli Sanchis de Miguel},
title={A Modular Detection System for Smart Cities: Integrating Monocular and LiDAR Solutions for Scalable Traffic Monitoring},
booktitle={Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS},
year={2025},
pages={326-333},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013195200003941},
isbn={978-989-758-745-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS
TI - A Modular Detection System for Smart Cities: Integrating Monocular and LiDAR Solutions for Scalable Traffic Monitoring
SN - 978-989-758-745-0
AU - Borau-Bernad J.
AU - Ramajo-Ballester Á.
AU - Moreno J.
AU - Sanchis de Miguel A.
PY - 2025
SP - 326
EP - 333
DO - 10.5220/0013195200003941
PB - SciTePress