LTDNet: A Lightweight Text Detector for Real-Time Arbitrary-Shape Traffic Text Detection

• Published in: IEEE/CAA journal of automatica sinica Vol. 12; no. 8; pp. 1648 - 1660
• Main Authors: Wang, Runmin, Zhu, Yanbin, Zhu, Ziyu, Cui, Lingxin, Wan, Zukun, Zhu, Anna, Ding, Yajun, Qian, Shengyou, Gao, Changxin, Sang, Nong
• Format: Journal Article
• Language: English
• Published: Chinese Association of Automation (CAA) 01.08.2025
• Subjects: Accuracy; Attention mechanism; Convolutional neural networks; Detectors; Feature extraction; feature fusion; Natural language processing; Optical character recognition; point-to-edge distance vector; Real-time systems; Shape; Text detection; traffic text detection; Vectors

Traffic text detection plays a vital role in understanding traffic scenes. Traffic text, a distinct subset of natural scene text, faces specific challenges not found in natural scene text detection, including false alarms from non-traffic text sources, such as roadside advertisements and building si...