Traffic sign detection and recognition using YOLO object detection algorithm: A systematic review

M Flores-Calero, CA Astudillo, D Guevara, J Maza… - Mathematics, 2024 - mdpi.com
Context: YOLO (You Look Only Once) is an algorithm based on deep neural networks with
real-time object detection capabilities. This state-of-the-art technology is widely available …

Robust detection method for improving small traffic sign recognition based on spatial pyramid pooling

C Dewi, RC Chen, H Yu, X Jiang - Journal of Ambient Intelligence and …, 2023 - Springer
An extraordinary challenge for real-world applications is traffic sign recognition, which plays
a crucial role in driver guidance. Traffic signals are very difficult to detect using an extremely …

[HTML][HTML] Hybrid-YOLO for classification of insulators defects in transmission lines based on UAV

BJ Souza, SF Stefenon, G Singh, RZ Freire - International Journal of …, 2023 - Elsevier
Transmission power lines are essential to supply electrical energy to consumption centers.
Kee** a reliable transmission system requires the early identification of faults. Image …

Traffic sign detection via improved sparse R‐CNN for autonomous vehicles

T Liang, H Bao, W Pan, F Pan - Journal of Advanced …, 2022 - Wiley Online Library
Traffic sign detection is an important component of autonomous vehicles. There is still a
mismatch problem between the existing detection algorithm and its practical application in …

Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks

C Dewi, RC Chen, X Jiang, H Yu - PeerJ Computer Science, 2022 - peerj.com
Blink detection is an important technique in a variety of settings, including facial movement
analysis and signal processing. However, automatic blink detection is very challenging …

Contrast limited adaptive histogram equalization for recognizing road marking at night based on YOLO models

RC Chen, C Dewi, YC Zhuang, JK Chen - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, artificial intelligence has led to rapid development and application across
various industries. One of the significant developments is the improvement of transportation …

An object detection method for bayberry trees based on an improved YOLO algorithm

Y Chen, H Xu, X Zhang, P Gao, Z Xu… - International journal of …, 2023 - Taylor & Francis
To quickly detect and count the number of bayberry trees, this paper improves the YOLO-v4
model and proposes an optimal YOLO-v4 method for detecting bayberry trees based on …

Smart glass system using deep learning for the blind and visually impaired

M Mukhiddinov, J Cho - Electronics, 2021 - mdpi.com
Individuals suffering from visual impairments and blindness encounter difficulties in moving
independently and overcoming various problems in their routine lives. As a solution, artificial …

[HTML][HTML] ASFF-YOLOv5: Multielement detection method for road traffic in UAV images based on multiscale feature fusion

M Qiu, L Huang, BH Tang - Remote Sensing, 2022 - mdpi.com
Road traffic elements are important components of roads and the main elements of
structuring basic traffic geographic information databases. However, the following problems …

A deep-learning-based detection approach for the identification of insect species of economic importance

M Tannous, C Stefanini, D Romano - Insects, 2023 - mdpi.com
Simple Summary This study aims at develo** a machine-learning-based classification
approach to recognize insect species of economic importance. Two tephritid pest species …