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- W4386997807 abstract "The rising number of accidents caused by failure to obey traffic laws and road signs can be addressed through a traffic sign detection system and its mapping for road sign navigation. This paper addresses a solution that utilizes generated training data made from photos and location of road traffic signs. Our system detects and notifies drivers of upcoming traffic signs during navigation, even if they are obscured by weather or other factors. The system assures fewer accidents and allows drivers to focus on driving rather than reading every single traffic sign on road and achieves the accuracy up to 99.27%." @default.
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- W4386997807 date "2023-04-01" @default.
- W4386997807 modified "2023-09-30" @default.
- W4386997807 title "REAL-TIME TRAFFIC SIGN DETECTION AND MAPPING FOR DRIVER ASSISTANCE USING CNN AND OPEN-SOURCE LIBRARIES" @default.
- W4386997807 doi "https://doi.org/10.33564/ijeast.2023.v07i12.017" @default.
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