Work

Smart Parking Space Detection Using Advanced Deep Learning Techniques

Year: 2025

Type: article

Abstract: This study aims to develop an accurate and efficient empty parking slot detection model to assist users in finding parking spaces. The developed model utilizes YOLOv11 as a pretrained model and demonstrates excellent performance with a precision of 99%, recall of 99%, and a Mean Average Precision (mAP) of 99%. These results validate the model's ability to accurately detect empty parking slots with 100 training epochs. Additionally, the model operates in real-time with a frame rate of 25 frames per second (FPS)

Source: Journal of Artificial Intelligence and Software Engineering (J-AISE)

DOI: 10.30811/jaise.v5i1.6473

Authors: Lalu Heri Aguswandi, Bambang Krismono Triwijoyo, Galih Hendro Martono

Institution: Universitas Bumigora

Language: English

Topic: Smart Parking Systems Research

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: diamond

OpenAlex ID: W4408903913

FWCI:

Cites:

Cited by:

Related to: 10