Results 121 to 130 of about 17,346 (205)
Advancing construction safety: YOLOv8-CGS helmet detection model.
In the context of construction site safety management, real-time object detection is crucial for ensuring workers' safety through accurate detection of safety helmets.
Xiaojia Lei, Munish Kumar, Zhihui Wu
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Performance measurements of object detections for YOLOv5 VS YOLOv8.
Performance measurements of object detections for YOLOv5 VS YOLOv8.
Batıkan Erdem Demir (18143934) +1 more
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Road Damage Detection for Autonomous Driving Vehicles using YOLOv8 and Salp Swarm Algorithm
Applications of Modelling and SimulationRoad accidents are one of the leading causes of death and serious injury in Malaysia, often resulting from human errors and poor road conditions. Autonomous vehicles aim to reduce accidents by mitigating human errors. Therefore, improving the road damage
Nik Ahmad Farihin Mohd Zulkifli +2 more
doaj
A Strawberry Ripeness Detection Method Based on Improved YOLOv8
An enhanced YOLOv8-based network was developed to accurately and efficiently detect the ripeness of strawberries in complex environments. Firstly, a CA (channel attention) mechanism was integrated into the backbone and head of the YOLOv8 model to improve
Huanhuan Wu, Shengbo Xu, Yawei Yue
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This project contains the implementation and experimental resources of YOLOv8-CAIR for camouflaged military object detection, supporting reproducible research in challenging visual ...
zhanjun
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Seedling Stage Corn Line Detection Method Based on Improved YOLOv8
[Objective]Crop line extraction is critical for improving the efficiency of autonomous agricultural machines in the field. However, traditional detection methods struggle to maintain high accuracy and efficiency under challenging conditions, such as ...
TIAN Xin +7 more
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Steel Surface Defect Detection Algorithm Based on Improved YOLOv8 Modeling
Detecting steel defects is a vital process in industrial production, but traditional methods suffer from poor feature extraction and low detection accuracy.
Miao Peng, Sue Bai, Yang Lu
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DRL-SLAM: Enhanced Object Detection Fusion with Improved YOLOv8
Part 5: Perceptual IntelligenceInternational audienceSimultaneous Localization and Mapping (SLAM) technologies are pivotal in advancing robotics and autonomous navigation, particularly within challenging indoor environments.
Wang, Yanqing +2 more
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Accurate detection of Jinxiu Malus fruits in unstructured orchard environments is hampered by frequent overlap, occlusion, and variable illumination.
Xiang Han +9 more
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YOLOv8-RD: High-Robust Pine Wilt Disease Detection Method Based on Residual Fuzzy YOLOv8
Pine Wilt Disease (PWD) poses a severe threat to the health of pine trees and has resulted in substantial losses to global pine forest resources. Due to the minute size of the pathogens and the concealed symptoms of PWD, early detection through remote ...
Junchao Yuan (24116103) +8 more
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