Effective Non-invasive Runway Monitoring System Development Using Dual Sensor Devices
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, ISSN: 1867-822X, Vol: 364 LNICST, Page: 110-121
2021
- 6Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Captures6
- Readers6
Conference Paper Description
At airports, the runways are always troubled by the presence of ice, water, cracks, foreign objects, etc. To avoid such problems the runway is supposed to be monitored regularly. To monitor the runways a large number of techniques are available such as runway inspection mobile vans. These techniques are largely human dependent and need interruptions in the runway’s operations for inspection. In this position paper, we suggest an alternative way to monitor the runway. This method is non-invasive in nature with the involvement of Light Detection and Ranging (LIDAR) sensors. In the methodology, we describe the schemes of labelling the data obtained from LIDAR using MARWIS sensors fitted in a mobile van. We describe the entire system and the underlying technology involved in developing the system. The proposed system has the potential of developing an efficient runway monitoring system because the LIDAR technology has proved its efficiency in several terrestrial mapping and monitoring systems.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85104374579&origin=inward; http://dx.doi.org/10.1007/978-3-030-71454-3_7; http://link.springer.com/10.1007/978-3-030-71454-3_7; https://dx.doi.org/10.1007/978-3-030-71454-3_7; https://link.springer.com/chapter/10.1007/978-3-030-71454-3_7
Springer Science and Business Media LLC
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