Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey

TLDR

Traffic sign recognition is a mature field, yet it suffers from limited public datasets and a bias toward European signs. This survey reviews existing TSR detection systems and outlines future research directions such as context integration and localization. The paper categorizes recent TSR contributions across segmentation, feature extraction, and detection stages. The authors present a new public database of U.S.

Abstract

In this paper, we provide a survey of the traffic sign detection literature, detailing detection systems for traffic sign recognition (TSR) for driver assistance. We separately describe the contributions of recent works to the various stages inherent in traffic sign detection: segmentation, feature extraction, and final sign detection. While TSR is a well-established research area, we highlight open research issues in the literature, including a dearth of use of publicly available image databases and the over-representation of European traffic signs. Furthermore, we discuss future directions of TSR research, including the integration of context and localization. We also introduce a new public database containing U.S. traffic signs.