@article{Li2026163,
title = "Industrial multi-object detection for automotive battery manufacturing using a CBAM-enhanced YOLOv5 framework",
journal = "Advances in Production Engineering & Management",
volume = "21",
number = "2",
pages = "163-177",
year = "2026",
note = "",
issn = "1854-6250",
doi = "https://doi.org/10.14743/apem2026.2.567",
url = "https://apem-journal.org/Archives/2026/Abstract-APEM21-2_163-177.html",
author = "Li Y.X. and Chen H. and Zhou L.",
keywords = {Automotive battery manufacturing, Industrial computer vision, Multi-object detection, Real-time object detection, Deep learning, YOLOv5, Convolutional Block Attention Module (CBAM), Dual-stage Feature Enhancement, Focal-EIOU loss}
}