REDUAS 2019 Paper Abstract


Paper TuD24T2.2

Williamson, Alex (Cranfield University), Mondal, Sabyasachi (Cranfield), Xu, Zhengjia (Cranfield), Tsourdos, Antonios (Cranfield University)

Autonomous Collection of Ground Truth Data by Unmanned Aerial Vehicles Instructed by SMS Text Message

Scheduled for presentation during the Regular Session "Smart Sensors" (TuD24T2), Tuesday, November 26, 2019, 12:00−12:20, Room T2

2019 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED UAS), November 25-27, 2019, Cranfield University, Cranfield, UK

This information is tentative and subject to change. Compiled on January 20, 2022

Keywords Autonomy, Control Architectures, Manned/Unmanned Aviation


This paper describes a solution to increase the efficiency of collecting agricultural ground truth data by the use of one or more off-the-shelf drones to autonomously collect high quality RGB image data at low level, through the incorporation of a bespoke smartphone application that receives routing pathplanned location data in the form of Short Message Service (SMS) text messages.



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