Work

Comparative Performance of YOLOv9 and YOLOv10 for Vehicle Detection Towards Real-Time Traffic Surveillance with UAVs

Year: 2024

Type: conference-paper

Source: International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)

DOI: 10.1109/cce62852.2024.10771048

Authors: Murat Bakirci, Irem Bayraktar

Institution: Tarsus 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: closed

OpenAlex ID: W4406264698

FWCI: 1.375

Cites:

Cited by: 6

Related to: 10