Abstract
Fine dust concentration has been collected so far by fine dust concentration monitoring towers at fixed heights. However fine dust concentration level varies significantly with heights. It is possible for people to get informed of wrong dust concentration information. Drone equipped with a fine dust sensor can fly up and down to sense fine dust concentration. Drone can solve the wrong fine dust concentration information problem. But we face too much energy consumption problem of drone and possibly delayed information because drone should fly from ground up to top. To solve this problem, we propose to cut drone flying height by predicting the height, using deep learning methods, at which maximum fine dust concentration can be sensed. Experimental results show that the proposed methods save 58.28% of flying distance.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
