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- W4285587951 abstract "The streets are designed for explicit spaces where vehicles can circulate in complete safety. Not with upright, to specific areas, for example, keeping an eye on and automated level intersections, sharp curves, cluttered or prone to accidents, Increased speed control could be important in ensuring well-being. This has been achieved in various ways, for example, the mandatory posting of speed limit signs, the use of fire signals to alarm conductors, and streetscapes. In particular circumstances, barriers are needed, but their use on the streets is not considered an acceptable design practice. As a result, the normal speed circuit breakers do not meet the need, but they interfere with the vehicle and in a few cases have resulted in serious and transient injuries. Signage may also distract the driver and take his or her attention off the street. Be that as it may, the lack of light or above the upper light makes it difficult to perceive the speed breaker ahead. This report deals with the technique of distinguishing mounds and potholes and provides ideal precautions for drivers to stay away from accidents or vehicles harms. An image preparation frame is used to differentiate the mount." @default.
- W4285587951 created "2022-07-16" @default.
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- W4285587951 date "2022-07-16" @default.
- W4285587951 modified "2023-10-16" @default.
- W4285587951 title "Pothole Detection Using Deep Learning" @default.
- W4285587951 doi "https://doi.org/10.9756/iajir/v9i2/iajir0908" @default.
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