Yolov10 to its genesis: A decadal and comprehensive review of the you only look once series
This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
YOLOv10 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once (YOLO) Series
This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
[HTML][HTML] GC-YOLOv9: Innovative smart city traffic monitoring solution
R An, X Zhang, M Sun, G Wang - Alexandria Engineering Journal, 2024 - Elsevier
In urban smart city environments, traffic hazards can lead to catastrophic outcomes,
including significant property losses and severe threats to public safety. Conventional traffic …
including significant property losses and severe threats to public safety. Conventional traffic …
[HTML][HTML] Comparative Analysis of YOLOv8 and YOLOv10 in Vehicle Detection: Performance Metrics and Model Efficacy
Accurate vehicle detection is crucial for the advancement of intelligent transportation
systems, including autonomous driving and traffic monitoring. This paper presents a …
systems, including autonomous driving and traffic monitoring. This paper presents a …
Enhancing autonomous driving safety: a robust traffic sign detection and recognition model TSD-YOLO
R Zhao, SH Tang, J Shen, EEB Supeni, SA Rahim - Signal Processing, 2024 - Elsevier
As autonomous driving technology rapidly advances, Traffic Sign Detection and Recognition
(TSDR) has become pivotal in ensuring the safety and regulatory compliance of …
(TSDR) has become pivotal in ensuring the safety and regulatory compliance of …
Revolutionizing target detection in intelligent traffic systems: Yolov8-snakevision
Q Liu, Y Liu, D Lin - Electronics, 2023 - mdpi.com
Intelligent traffic systems represent one of the crucial domains in today's world, aiming to
enhance traffic management efficiency and road safety. However, current intelligent traffic …
enhance traffic management efficiency and road safety. However, current intelligent traffic …
[HTML][HTML] YOLO-Fusion and Internet of Things: Advancing object detection in smart transportation
J Tang, C Ye, X Zhou, L Xu - Alexandria Engineering Journal, 2024 - Elsevier
In intelligent transportation systems, traditional object detection algorithms struggle to
handle complex environments and varying lighting conditions, particularly when detecting …
handle complex environments and varying lighting conditions, particularly when detecting …
Improving real-time object detection in Internet-of-Things smart city traffic with YOLOv8-DSAF method
Y Li, Y Huang, Q Tao - Scientific reports, 2024 - nature.com
With the rise of global smart city construction, target detection technology plays a crucial role
in optimizing urban functions and improving the quality of life. However, existing target …
in optimizing urban functions and improving the quality of life. However, existing target …
[HTML][HTML] Deep Learning-Based Dust Detection on Solar Panels: A Low-Cost Sustainable Solution for Increased Solar Power Generation
The world is shifting towards renewable energy sources due to the harmful effects of fossils
fuel-based power generation in the form of global warming and climate change. When it …
fuel-based power generation in the form of global warming and climate change. When it …
Detection and tracking of barchan dunes using Artificial Intelligence
EA Cúñez, EM Franklin - Scientific Reports, 2024 - nature.com
Barchans are crescent-shape dunes ubiquitous on Earth and other celestial bodies, which
are organized in barchan fields where they interact with each other. Over the last decades …
are organized in barchan fields where they interact with each other. Over the last decades …