YOLOv8-NTS: a target detection approach for traffic sign recognition
Image Processing|更新时间:2025-12-24
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YOLOv8-NTS: a target detection approach for traffic sign recognition
“In the field of intelligent transportation, researchers have proposed an improved YOLOv8-NTS model, which effectively improves the accuracy and generalization ability of traffic sign detection.”
Chinese Journal of Liquid Crystals and DisplaysVol. 40, Issue 12, Pages: 1868-1880(2025)
作者机构:
1.陕西理工大学 物理与电信工程学院, 陕西 汉中 723000
2.陕西科技大学 电子信息与人工智能学院, 陕西 西安 710021
作者简介:
基金信息:
the Key Research and Development Program Projects of Shaanxi Province(2025CY-YBXM-122);Shaanxi Province Qin Chuangyuan “Scientist+Engineer” Team Construction Project under Grant(2024QCY-KXJ-168)
LI Pengfei, XIONG Zhaoxin, WANG Guibao. YOLOv8-NTS: a target detection approach for traffic sign recognition[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(12): 1868-1880.
DOI:
LI Pengfei, XIONG Zhaoxin, WANG Guibao. YOLOv8-NTS: a target detection approach for traffic sign recognition[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(12): 1868-1880. DOI: 10.37188/CJLCD.2025-0199. CSTR: 32172.14.CJLCD.2025-0199.
YOLOv8-NTS: a target detection approach for traffic sign recognition