Road pothole detection from smartphone sensor data using improved LSTM

Author:

Singh Prabhat,Kamal Ahmed E.,Bansal Abhay,Kumar Sunil

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference40 articles.

1. Agebure MA, Oyetunji EO, Baagyere EY (2022) A three-tier road condition classification system using a spiking neural network model. J King Saud Univ-Comput Inf Sci 34(5):1718–1729

2. Allouch A, Koubâa A, Abbes T, Ammar A (2017) Roadsense: smartphone application to estimate road conditions using accelerometer and gyroscope. IEEE Sensors J 17(13):4231–4238

3. Ameur S, Khalifa AB, Bouhlel MS (2020) A novel hybrid bidirectional unidirectional LSTM network for dynamic hand gesture recognition with leap motion. Entertain Comput 35:100373

4. Anaissi A, Khoa NLD, Rakotoarivelo T, Alamdari MM, Wang Y (2019) Smart pothole detection system using vehicle-mounted sensors and machine learning. J Civ Struct Heal Monit 9(1):91–102

5. Anand S, Gupta S, Darbari V, Kohli S (2018) Crack-pot: autonomous road crack and pothole detection. In: 2018 digital image computing: techniques and applications (DICTA), pp 1–6

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