RoadCare: A Deep-learning Based Approach to Quantifying Road Surface Quality
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"RoadCare: A Deep-learning Based App..." refers methods in this paper
...K-means clustering [27] is a popular unsupervised machine learning technique used to partition the data into K clusters....
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1,126 citations
"RoadCare: A Deep-learning Based App..." refers background or methods in this paper
...Another limitation in case of Nericell [29] and Pothole Patrol [15] is their inability to differentiate between road anomalies present on the same road, but in opposite lanes....
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...Pothole Patrol [15] uses vehicle mounted accelerometer sensors to detect potholes and other road anomalies such as manholes, expansion joints and railway crossings....
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...Pothole Patrol [15] uses vehicle mounted accelerometer sensors to detect potholes and other road anomalies such as manholes,...
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1,124 citations
"RoadCare: A Deep-learning Based App..." refers methods in this paper
...For this, they use both time and frequency domain features as well as features obtained from Stationary Wavelet Transform [30]....
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943 citations
"RoadCare: A Deep-learning Based App..." refers background in this paper
...Other similar works [47, 48] use deep neural networks to ascertain the presence of pavement distress in varying conditions....
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