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Aerial Images for Intelligent Vehicle Detection and Classification via YOLOv11 and Deep Learner

Year: 2025

Type: article

Abstract: As urban landscapes evolve and vehicular volumes soar, traditional traffic monitoring systems struggle to scale, often failing under the complexities of dense, dynamic, and occluded environments. This paper introduces a novel... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.067895

Authors: Ghulam Mujtaba, Wenbiao Liu, Mohammed Alshehri, Yahya AlQahtani, Nouf Abdullah Almujally, Hui Liu

Institutions: Prince Sattam Bin Abdulaziz University, Nanjing University of Information Science and Technology, King Khalid University, Air University

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4415362850

FWCI: 2.248

Cites:

Cited by: 6

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