Asfault: A low-cost system to evaluate pavement conditions in real-time using smartphones and machine learning

Vinícius M. A. de Souza, Rafael Giusti, Antonio J. L. Batista. Asfault: A low-cost system to evaluate pavement conditions in real-time using smartphones and machine learning. Pervasive and Mobile Computing, 51:121-137, 2018. [doi]

@article{SouzaGB18,
  title = {Asfault:  A low-cost system to evaluate pavement conditions in real-time using smartphones and machine learning},
  author = {Vinícius M. A. de Souza and Rafael Giusti and Antonio J. L. Batista},
  year = {2018},
  doi = {10.1016/j.pmcj.2018.10.008},
  url = {https://doi.org/10.1016/j.pmcj.2018.10.008},
  researchr = {https://researchr.org/publication/SouzaGB18},
  cites = {0},
  citedby = {0},
  journal = {Pervasive and Mobile Computing},
  volume = {51},
  pages = {121-137},
}