Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challenges

JE Gallagher, EJ Oughton - IEEE Access, 2025 - ieeexplore.ieee.org
Multispectral imaging and deep learning have emerged as powerful tools supporting diverse
use cases from autonomous vehicles to agriculture, infrastructure monitoring and …

YOLO-Claw: A fast and accurate method for chicken claw detection

D Wu, Y Ying, M Zhou, J Pan, D Cui - Engineering Applications of Artificial …, 2024 - Elsevier
Reliable chicken claw detection is the technical prerequisite for further intelligent sensing of
the health status and physiological information of their feet in precision livestock farming …

Deep learning for detection and counting of Nephrops norvegicus from underwater videos

AB Burguera, F Bonin-Font… - ICES Journal of …, 2024 - academic.oup.com
Abstract The Norway lobster (Nephrops norvegicus) is one of the most important fishery
items for the EU blue economy. This paper describes a software architecture based on …

[HTML][HTML] YOLO-ADual: A Lightweight Traffic Sign Detection Model for a Mobile Driving System

S Fang, C Chen, Z Li, M Zhou, R Wei - World Electric Vehicle Journal, 2024 - mdpi.com
Traffic sign detection plays a pivotal role in autonomous driving systems. The intricacy of the
detection model necessitates high-performance hardware. Real-world traffic environments …

Multidimensional Evaluation Methods for Deep Learning Models in Target Detection for SAR Images

P Wang, H Liu, X Zhou, Z Xue, L Ni, Q Han, J Li - Remote Sensing, 2024 - mdpi.com
As artificial intelligence technology advances, the application of object detection technology
in the field of SAR (synthetic aperture radar) imagery is becoming increasingly widespread …

A Deep Learning Approach to Plastic Bottle Waste Detection on the Water Surface using YOLOv6 and YOLOv7

NL Kirana, D Kurnianingtyas - Engineering, Technology & Applied …, 2024 - etasr.com
Deep learning is a branch of machine learning with many layers, such as the You Only Look
Once (YOLO) method. From various versions of YOLO, YOLOv6 and YOLOv7 are …

Opportunistic collaboration between heterogeneous agents using an unstructured ontology via GenAI

J Akl, A Gning, H Omrani, O Caspary… - International Journal of …, 2025 - Springer
Opportunistic collaborations allow autonomous agents to dynamically cooperate with each
other to assess a shared goal. This type of collaboration represents an exciting …

도로이상탐지기술동향과딥러닝기반포트홀탐지알고리즘

권원현 - 대한전자공학회학술대회, 2024 - dbpia.co.kr
Recent advancements in computer vision, machine learning, and deep learning
technologies have led to a shift from manual inspection methods to automated detection …

Deep Learning Based Image Detection Model for Pavement Cracks and Potholes

J Byun, S Byun - Proceedings of the 2024 7th International Conference …, 2024 - dl.acm.org
Damaged road surfaces can cause traffic accidents and negatively affect the tires and
suspension of vehicles, potentially contributing to accidents. Rapid detection is needed to …

[PDF][PDF] Surface Crack Detection in Historical Buildings with Deep Learning-based YOLO Algorithms: A Comparative Study

HA Akyürek, Hİ Kozan, Ş Taşdemir - researchgate.net
The identification of surface cracks is critically important for regular buildings, but this
significance increases substantially for historical structures. Traditionally, these cracks are …