Parking Spot Segmentation Using Deep Learning Techniques

Presenter Information

Marcin Garnowski, Gdansk University Of Technology, PolandFollow
Jakub Śmigielski, Gdansk University Of Technology, PolandFollow
Szymon Zaporowski, Gdansk University Of Technology, PolandFollow

Abstract

Existing computer vision models are developing rapidly and obtaining successful results, but expensive and time-consuming solutions are still used in many cases and applications. Currently, proposed parking management solutions based on computer vision and artificial intelligence are not sufficiently automated and general. They often assume simplifications and specific conditions. This project provides an overview of state-of-the-art in occupancy detection methods and describes the original solution separated into modules. The main advantages are versatility, lack of requirements for the parking structure, high resistance to external conditions, and openness to extension with additional functionalities.

Recommended Citation

Garnowski, M., Śmigielski, J. & Zaporowski, S. (2025). Parking Spot Segmentation Using Deep Learning TechniquesIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.72

Paper Type

Short Paper

DOI

10.62036/ISD.2025.72