Vision based rail track extraction and monitoring through drone imagery | Zendy

Arun Kumar Singh | Zendy; Anushka Swarup | Zendy; Ankush Agarwal | Zendy; Dharmendra Singh | Zendy

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Vision based rail track extraction and monitoring through drone imagery

Author(s) -

Arun Kumar Singh,

Anushka Swarup,

Ankush Agarwal,

Dharmendra Singh

Publication year - 2017

Publication title -

ict express

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.733

H-Index - 22

ISSN - 2405-9595

DOI - 10.1016/j.icte.2017.11.010

Subject(s) - drone , track (disk drive) , train , flexibility (engineering) , computer science , reliability (semiconductor) , artificial intelligence , computer vision , engineering , real time computing , geography , genetics , biology , operating system , power (physics) , statistics , physics , cartography , mathematics , quantum mechanics

Track detection and gauge measurement are considered as crucial aspects of railway inspection systems. Traditionally, monitoring by human inspectors was done. Nowadays, computer vision-based systems are used due to their flexibility and ease of use. In recent years, various prototypes of vision based inspection system have been proposed, most have a camera mounted on carts or trains. Employing drones for such monitoring systems provides a cost effective and accurate means for monitoring tracks. This paper explores the possibilities of computer vision based monitoring through drone imagery. The experimental results ensure that the proposed method provides high reliability and accuracy.

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