Research Article
Effective Non-invasive Runway Monitoring System Development Using Dual Sensor Devices
@INPROCEEDINGS{10.1007/978-3-030-71454-3_7, author={Rahul Sharma and Fernando Moreira and Gabriel Sarago\`{e}a and Jo\"{a}o Ferreira}, title={Effective Non-invasive Runway Monitoring System Development Using Dual Sensor Devices}, proceedings={Intelligent Transport Systems, From Research and Development to the Market Uptake. 4th EAI International Conference, INTSYS 2020, Virtual Event, December 3, 2020, Proceedings}, proceedings_a={INTSYS}, year={2021}, month={7}, keywords={Runway monitoring LIDAR Machine learning}, doi={10.1007/978-3-030-71454-3_7} }- Rahul Sharma
Fernando Moreira
Gabriel Saragoça
João Ferreira
Year: 2021
Effective Non-invasive Runway Monitoring System Development Using Dual Sensor Devices
INTSYS
Springer
DOI: 10.1007/978-3-030-71454-3_7
Abstract
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.
