Distress Detection in Road Pavements Using Neural Networks

Author:

Gomes Luís FilipeORCID,Analide CesarORCID,Freitas ElisabeteORCID

Publisher

Springer International Publishing

Reference17 articles.

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2. D’Amico, F., Calvi, A., Ciampoli, L.B., Tosti, F., Brancadoro, M.G.: Evaluation of the impact of pavement degradation on driving comfort and safety using a dynamic simulation model. Adv. Transp. Stud. 1, 109–120 (2018)

3. Vinayakamurthy, M.: Effect of pavement condition on accident rate. Master’s thesis, Arizona State University (2017)

4. Laurent, J., Hébert, J.F., Lefebvre, D., Savard, Y.: Using 3D laser profiling sensors for the automated measurement of road surface conditions. In: Scarpas, A., Kringos, N., Al-Qadi, I., Loizos, A. (eds.) Cracking in Pavements, pp. 157–167. Springer, Dordrecht (2012). https://doi.org/10.1007/978-94-007-4566-7_16

5. Ribeiro, J.P.A., Gomes, L.F.F., Tavares, S.M.O.: Artificial neural networks applied in mechanical structural design. J. Comput. Artif. Intell. Mech. Biomech. 1(1), 14–21 (2021)

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1. Using Variational Encoders to Enhance Classification in Indian Roads Analysis;2023 3rd International Conference on Intelligent Technologies (CONIT);2023-06-23

2. Artificial Neural Networks for Flexible Pavement;Information;2023-01-18

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