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- W2615694025 abstract "Automatic traffic sign inventory and simultaneous condition analysis can be used to improve road maintenance processes, decrease maintenance costs, and produce up-to-date information for future intelligent driving systems. The goal of this research is to combine automatic traffic sign detection and classification with traffic sign inventory and condition analysis. This paper proposes a complete machine vision framework for the purpose and presents the results of its performance evaluation with three datasets: Traffic Signs Dataset, and two datasets collected for this research. The experimental results show that the system is able to detect, locate, and classify almost all the traffic signs, and is a suitable platform for traffic sign condition analysis." @default.
- W2615694025 created "2017-05-26" @default.
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- W2615694025 date "2017-01-01" @default.
- W2615694025 modified "2023-10-06" @default.
- W2615694025 title "Framework for Machine Vision Based Traffic Sign Inventory" @default.
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- W2615694025 doi "https://doi.org/10.1007/978-3-319-59126-1_17" @default.
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