SAFETRANS: a system for 3D visibility estimation and cloud cover detection

Abstract

The estimation of visibility is of significant importance in aviation safety and forms part of the measurements routinely collected in real time to provide safety guidelines and decisions. Our work concerns the creation and implementation of a lidar-based visibility estimation system as part of the SAFETRANS research program. We created a reproducible system to (1) support standard airport equipment, (2) serve simultaneously as a visibility meter and a ceilometer reporting on cloud cover, (3) offer increased accuracy and improved capabilities compared to standardized equipment currently in use while (4) requiring minimal user training to function. This work presents the visibility estimation and cloud cover algorithms and subsequently reports on results of field tests in a number of Greek airports under various atmospheric conditions.