Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey
Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey
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DOI：
10.1109/tits.2012.2209421
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发表时间：
2012-12-01
影响因子：
8.5
通讯作者：
Moeslund, Thomas B.
中科院分区：
文献类型：
--
作者：
Mogelmose, Andreas;Trivedi, Mohan Manubhai;Moeslund, Thomas B.
在本文中，我们提供了交通标志检测的文献综述，详细介绍了用于驾驶员辅助的交通标志识别（TSR）检测系统。我们分别描述了最近的工作对交通标志检测固有的各个阶段的贡献：分割，特征提取和最终的标志检测。虽然TSR是一个成熟的研究领域，但我们强调了文献中开放的研究问题，包括缺乏使用公开可用的图像数据库和欧洲交通标志的过度代表性。在此基础上，展望了TSR研究的未来方向，包括语境与本土化的融合。我们还引入了一个包含美国交通标志的新公共数据库。
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.