Road condition judgment system of railway transportation based on artificial intelligence recognition technology

Author:

Cao LiangORCID

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Reference21 articles.

1. Banić M, Miltenović A, Pavlović M et al (2019) Intelligent machine vision based railway infrastructure inspection and monitoring using UAV[J]. Facta Univ, Series: Mech Eng 17(3):357–364

2. Bin Osman MH, Kaewunruen S, Jack A (2018) Optimisation of schedules for the inspection of railway tracks[J]. Proc Inst Mech Eng, Part f: J Rail Rapid Transit 232(6):1577–1587

3. Falamarzi A, Moridpour S, Nazem M (2019) A review on existing sensors and devices for inspecting railway infrastructure[J]. Jurnal Kejuruteraan 31(1):1–10

4. Han SH, Cho MS, Yu YK et al (2017) A study on cantilever deformation inspection method using image processing[J]. Trans Korean Inst Electr Eng 66(6):988–994

5. Krishna BR, Seshendra D, Raja GG et al (2017) Railway track fault detection system by using ir sensors and bluetooth technology[J]. As J Appl Sci Technol (AJAST) 1(6):82–84

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