[HTML][HTML] Target detection and recognition for traffic congestion in smart cities using deep learning-enabled UAVs: A review and analysis

S Iftikhar, M Asim, Z Zhang, A Muthanna, J Chen… - Applied Sciences, 2023 - mdpi.com
In smart cities, target detection is one of the major issues in order to avoid traffic congestion.
It is also one of the key topics for military, traffic, civilian, sports, and numerous other …

[HTML][HTML] Yolov7-peach: An algorithm for immature small yellow peaches detection in complex natural environments

P Liu, H Yin - Sensors, 2023 - mdpi.com
Using object detection techniques on immature fruits to find out their quantity and position is
a crucial step for intelligent orchard management. A yellow peach target detection model …

[HTML][HTML] Improved object detection method utilizing yolov7-tiny for unmanned aerial vehicle photographic imagery

L Zhang, N Xiong, X Pan, X Yue, P Wu, C Guo - Algorithms, 2023 - mdpi.com
In unmanned aerial vehicle photographs, object detection algorithms encounter challenges
in enhancing both speed and accuracy for objects of different sizes, primarily due to complex …

A Real‐Time Object Detector for Autonomous Vehicles Based on YOLOv4

R Wang, Z Wang, Z Xu, C Wang, Q Li… - Computational …, 2021 - Wiley Online Library
Object detection is an important part of autonomous driving technology. To ensure the safe
running of vehicles at high speed, real‐time and accurate detection of all the objects on the …

One-stage and lightweight CNN detection approach with attention: Application to WBC detection of microscopic images

Z Han, H Huang, D Lu, Q Fan, C Ma, X Chen… - Computers in Biology …, 2023 - Elsevier
White blood cell (WBC) detection in microscopic images is indispensable in medical
diagnostics; however, this work, based on manual checking, is time-consuming, labor …

Intelligent segmentation method for blurred cracks and 3D mapping of width nephograms in concrete dams using UAV photogrammetry

S Zhao, F Kang, J Li - Automation in Construction, 2024 - Elsevier
This study presents an innovative method for precise measurement and mapping of width
nephograms for blurred cracks on concrete dams. An intelligent segmentation network …

Road surface crack detection method based on improved YOLOv5 and vehicle-mounted images

H Hu, Z Li, Z He, L Wang, S Cao, W Du - Measurement, 2024 - Elsevier
Road surface crack detection methods using vehicle-mounted images have gained
substantial attention recently. Notably, YOLO-based techniques have exhibited effectiveness …

[HTML][HTML] FTA-DETR: An efficient and precise fire detection framework based on an end-to-end architecture applicable to embedded platforms

H Zheng, G Wang, D Xiao, H Liu, X Hu - Expert Systems with Applications, 2024 - Elsevier
Timely fire alarms are crucial as they can save lives and avoid major economic losses.
However, due to the complexity of the structure, the current mainstream DETR-based fire …

Research on traffic sign recognition technology based on YOLOv5 algorithm

吕禾丰, 陆华才 - Journal of Electronic Measurement and …, 2023 - jemi.cnjournals.com
针对传统方式识别交通标志算法存在的检测精度较低的问题, 提出了一种改进 YOLOv5
算法的交通标志识别方法. 首先改进 YOLOv5 算法的损失函数, 使用 EIOU 损失函数代替 …

[HTML][HTML] A lightweight military target detection algorithm based on improved YOLOv5

X Du, L Song, Y Lv, S Qiu - Electronics, 2022 - mdpi.com
Military target detection technology is the basis and key for reconnaissance and command
decision-making, as well as the premise of target tracking. Current military target detection …