Results 41 to 50 of about 6,685 (188)

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

Journal 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, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

An appearance defect detection method for pre-fried potato chips based on EISW-YOLOv8n

Shipin yu jixie
ObjectiveTo address the low speed and efficiency as well as missed and false detection in manual inspection of defective products in pre-fried potato chip production, enhance the accuracy and speed of product defect identification, and ensure safe ...
LI Jianjia, WANG Yongqiang, ZHOU Congling, WANG Hao   +3 more
doaj   +1 more source

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

Journal 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

PicAxe: Extracting Figures from Structurally and Syntactically Heterogeneous Corpora of PDF Files

Journal of Open Research Software
PicAxe is open-source Python software that researchers can use to extract figures from corpora of PDF files that contain text and images. It is designed to extract figures from corpora that include both scanned and “born-digital” PDF files (structurally ...
Anna C. Guerrero, Krishna Kamath, Qilin Zhou, Bruno Felalaga, Julia Damerow, Aaron R. Dinner   +5 more
doaj   +1 more source

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

Journal 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, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

Performance Evaluation of YOLOv8 for Railway Switching Operation Safety Monitoring

Computer Science
Safety in railway shunting operations requires continuous monitoring of train distance and speed to reduce the risk of operational accidents. In practice, shunting activities are still highly dependent on manual observation and verbal communication ...
Aulya Anggita Putri Selendra, Teguh Arifianto, Fathurrozi Winjaya   +2 more
doaj   +1 more source

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

Remote 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, Yuyuan Bao, Ziwei Ying, Mujiao Xie, Ting Li, Jixing Zou, Jun Shi, Xiaoyong Xie   +7 more
wiley   +1 more source

Web-based Timber Logs Information System Using the YOLOv8 Model: IstifTakip

Düzce University Faculty of Forestry Journal of Forestry
This study introduces İstifTakip, a web-based information system developed for the automated detection and measurement of stacked timber logs using the YOLOv8 deep learning model.
Remzi Eker, Kamber Can Alkiş
doaj   +1 more source

Portable Radar for Noncontact Heart Rate Monitoring and Estrus Detection in Dairy Cows

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
This study introduces a portable radar system for real‐time monitoring of respiratory and heart rates in dairy cows. It uses millimeter‐wave Frequency Modulated Continuous Wave (FMCW) radar to perform noncontact physiological sensing, reducing behavioral disturbance. The radar system's design prioritizes portability, cost‐effectiveness, and robustness,
Yingxiu Li, Ranran Wang, Fuyang Tian, Yudao Li, Zhuolin Wang, Yuxin Yu, Liping Ma, Xin Lu   +7 more
wiley   +1 more source

Study on Spark Image Detection for Abrasive Belt Grinding via Transfer Learning with YOLOv8

Sensors
Aiming to solve the problems of low precision and poor efficiency caused by relying on manual experience during the manual polishing of blades, a multi-view spark image detection method based on YOLOv8 transfer learning is proposed.
Jian Huang, Guangpeng Zhang
doaj   +1 more source