Results 41 to 50 of about 12,664 (249)

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong   +13 more
wiley   +1 more source

CFE-YOLOv8s: Improved YOLOv8s for Steel Surface Defect Detection

open access: yesElectronics
Due to the low detection accuracy in steel surface defect detection and the constraints of limited hardware resources, we propose an improved model for steel surface defect detection, named CBiF-FC-EFC-YOLOv8s (CFE-YOLOv8s), including CBS-BiFormer (CBiF) modules, Faster-C2f (FC) modules, and EMA-Faster-C2f (EFC) modules.
Shuxin Yang   +9 more
openaire   +1 more source

Application of YOLOv8 Algorithm for Coral Reef Disease Detection as an Effort to Prevent Marine Habitat Damage in Batam

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Research in 2019 in Batam City showed that out of 19 coral reef fisheries support facilities, 16 were declared not good. Coral reef damage increased from 36.28% to 39.44%.
Rifa'atul Mahmudah Burhan   +3 more
doaj   +1 more source

Development and Preliminary Evaluation of a Machine Vision‐Guided Smart Sprayer Prototype Toward Precision Vegetable Weeding

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Sustainable weed management necessitates herbicide‐reduced, precision weed control. Recent advancements in machine vision and artificial intelligence (AI) for weed recognition and localization have created new opportunities for high‐precision weeding. Although blanket spraying systems are widely used for weed removal, machine vision‐guided, AI‐
Boyang Deng, Yuzhen Lu, Daniel Brainard
wiley   +1 more source

Depth-YOLO-based defect detection algorithm for semiconductor bonding leads

open access: yes工程科学学报
Wire bonding, which is a critical step in integrated circuit packaging, interconnects various components and chips to ensure appropriate circuit functionality. Quality inspection directly affects the product yield rates.
Naigong YU, Ao LI, Yi YANG
doaj   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos   +6 more
wiley   +1 more source

Basket pose estimation method based on monocular vision and improved YOLOv8-pose model

open access: yesHuanan Nongye Daxue xuebao
ObjectiveCurrently, the handling operation of vegetable baskets after harvesting in protected greenhouses is still dominated by manual labor, which has problems such as low efficiency and high labor intensity, seriously restricting the large-scale and ...
Lin CHEN   +5 more
doaj   +1 more source

A UAV‐based deep learning pipeline for intertidal macrobenthos monitoring: Behavioral and age classification in Tachypleus tridentatus

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
The endangered tri‐spine horseshoe crab (Tachypleus tridentatus), a “living fossil” crucial to coastal ecology and biomedical research, is experiencing severe population declines. Effective conservation requires efficient monitoring, which traditional methods cannot deliver at scale. We develop an integrated UAV deep learning framework tailored to this
Xiaohai Chen   +7 more
wiley   +1 more source

Prototipo de Sistema de Monitoreo Inteligente para la detección en Tiempo Real de Objetos y Actividades Sospechosas Utilizando Deep Learning

open access: yesInformática y Sistemas
Esta investigación trata sobre la necesidad de optimizar los sistemas de videovigilancia a través del uso de inteligencia artificial para detectar proactivamente amenazas.
Lauro Alfonso Erreyes Cuenca   +3 more
doaj   +1 more source

Smart Waste, Smarter World: Exploring Waste Types, Trends, and Tech‐Driven Valorization Through Artificial Intelligence, Internet of Things, and Blockchain

open access: yesSustainable Development, EarlyView.
ABSTRACT Global municipal solid waste generation is projected to exceed 3.8 billion tonnes annually by 2050. This makes the need for smart, inclusive, and scalable waste valorization systems more urgent than ever. This review critically explores the shift from conventional waste management to intelligent, technology‐driven solutions aligned with ...
Segun E. Ibitoye   +8 more
wiley   +1 more source

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