Improved vision-based vehicle detection and classification by optimized YOLOv4

J Zhao, S Hao, C Dai, H Zhang, L Zhao, Z Ji… - IEEE …, 2022 - ieeexplore.ieee.org
Rapid and precise detection and classification of vehicles are vital for the intelligent
transportation systems (ITSs). However, due to small gaps between vehicles on the road …

[HTML][HTML] An improved YOLOv2 for vehicle detection

J Sang, Z Wu, P Guo, H Hu, H Xiang, Q Zhang, B Cai - Sensors, 2018 - mdpi.com
Vehicle detection is one of the important applications of object detection in intelligent
transportation systems. It aims to extract specific vehicle-type information from pictures or …

Real-time vehicle detection algorithm based on a lightweight You-Only-Look-Once (YOLOv5n-L) approach

M Bie, Y Liu, G Li, J Hong, J Li - Expert Systems with Applications, 2023 - Elsevier
A vehicle detection algorithm is of great significance for automatic driving technology.
Current vehicle detection algorithms suffer from the complex structure, high configuration of …

A lightweight vehicles detection network model based on YOLOv5

X Dong, S Yan, C Duan - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Vehicle detection technology is of great significance for realizing automatic monitoring and
AI-assisted driving systems. The state-of-the-art object detection method, namely, a class of …

[HTML][HTML] A multi-scale traffic object detection algorithm for road scenes based on improved YOLOv5

A Li, S Sun, Z Zhang, M Feng, C Wu, W Li - Electronics, 2023 - mdpi.com
Object detection in road scenes is a task that has recently become popular and it is also an
important part of intelligent transportation systems. Due to the different locations of cameras …

[HTML][HTML] Real-time vehicle detection from UAV aerial images based on improved YOLOv5

S Li, X Yang, X Lin, Y Zhang, J Wu - Sensors, 2023 - mdpi.com
Aerial vehicle detection has significant applications in aerial surveillance and traffic control.
The pictures captured by the UAV are characterized by many tiny objects and vehicles …

Fine-tuned YOLOv5 for real-time vehicle detection in UAV imagery: Architectural improvements and performance boost

MH Hamzenejadi, H Mohseni - Expert Systems with Applications, 2023 - Elsevier
Abstract Nowadays, Unmanned Aerial Vehicles (UAVs) have become useful for various civil
applications, such as traffic monitoring and smart parkings, where real-time vehicle detection …

[HTML][HTML] A fast and accurate real-time vehicle detection method using deep learning for unconstrained environments

A Farid, F Hussain, K Khan, M Shahzad, U Khan… - Applied Sciences, 2023 - mdpi.com
Deep learning-based classification and detection algorithms have emerged as a powerful
tool for vehicle detection in intelligent transportation systems. The limitations of the number …

[HTML][HTML] Fast and accurate object detector for autonomous driving based on improved YOLOv5

X Jia, Y Tong, H Qiao, M Li, J Tong, B Liang - Scientific reports, 2023 - nature.com
Autonomous driving is an important branch of artificial intelligence, and real-time and
accurate object detection is key to ensuring the safe and stable operation of autonomous …

A vehicle real-time detection algorithm based on YOLOv2 framework

W Yang, J Zhang, H Wang… - Real-Time Image and …, 2018 - spiedigitallibrary.org
At present, the level of urbanization in China has exceeded 50% and the number of car
ownership has reached 140 million. The consequent problem of traffic congestion has …