Smart City Application: Real-Time Pedestrian Detection Using YOLO11 Architecture

Mark Xavier Dsouza, Adavayya Charantimath, C. Hithin Kumar, Tejas R R Shet, Shashank Hegde

2025

Abstract

The integration of real-time pedestrian and vehicle detection systems is vital for smart city applications, addressing challenges like traffic management and pedestrian safety. This paper proposes a scalable and resource-efficient framework based on YOLO11. The model leverages features like CSP-Darknet, Spatial Pyramid Pooling (SPP), and Soft Non-Maximum Suppression (Soft-NMS) to ensure accuracy and low latency. Achieving a mean Average Precision (mAP) of 88.0%, the system excels in urban scenarios, including crowded and low-light conditions. This research bridges theoretical advancements and real-world deployment, aiming for smarter, safer cities.

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Paper Citation


in Harvard Style

Dsouza M., Charantimath A., Kumar C., R R Shet T. and Hegde S. (2025). Smart City Application: Real-Time Pedestrian Detection Using YOLO11 Architecture. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 167-172. DOI: 10.5220/0013611000004664


in Bibtex Style

@conference{incoft25,
author={Mark Dsouza and Adavayya Charantimath and C. Hithin Kumar and Tejas R R Shet and Shashank Hegde},
title={Smart City Application: Real-Time Pedestrian Detection Using YOLO11 Architecture},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT},
year={2025},
pages={167-172},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013611000004664},
isbn={978-989-758-763-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT
TI - Smart City Application: Real-Time Pedestrian Detection Using YOLO11 Architecture
SN - 978-989-758-763-4
AU - Dsouza M.
AU - Charantimath A.
AU - Kumar C.
AU - R R Shet T.
AU - Hegde S.
PY - 2025
SP - 167
EP - 172
DO - 10.5220/0013611000004664
PB - SciTePress