Oussama Mazari Abdessameud, W. Cherifi, Mouhssin Abd El Illah Kribi, A. Dahmani
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引用次数: 0
Abstract
Road anomalies, such as potholes and speed bumps, are a nuisance and a source of annoyance to drivers and road users. This nuisance can affect the mobility and fluidity of road transport and can even lead to road accidents. In order to avoid such issues, drivers should be able to notice and be warned of any upcoming anomaly on their path. This paper proposes a safe navigation system called "NaviSaf" that warns drivers of road anomalies on their paths. To stay informed of every new anomaly, NaviSaf utilizes smartphones built-in sensors, machine learning techniques, crowdsourcing and data fusion techniques. Obtained results demonstrate the capacities of NaviSaf to accurately detect and report road anomalies with a precision of around 97%.
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