Abstract
Unmanned aerial vehicles have made rapid progress over the past two decades. One of the major problems of the UAV and drones is their short battery life which also limits the time of flight. Developing a system whereby an autonomous drone could be sent to identify and take photos, collect telemetry of flight, videography, collect data, hold back, and sense its battery level and then return to a charging station to which it could automatically connect, and at the end return to its task when it is fully recharged decreases the degree of human supervision. This paper presents a system that has been developed for the autonomous docking of drones. The system uses open-source programmes and publicly accessible hardware. The objective of this manuscript is to demonstrate the utilisation of open-source object detection algorithms for the purpose of docking unmanned aerial vehicles (UAVs). Additionally, a novel docking system for quadcopters will be developed through the incorporation of unique tags and commercially available components, accompanied by certain modifications.
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Gangapurwala, P., Singh, I., Satam, S., Khanapuri, J., Mishra, D. (2024). A Novel Approach to Docking System for Autonomous Unmanned Aerial Vehicles. In: Nanda, S.J., Yadav, R.P., Gandomi, A.H., Saraswat, M. (eds) Data Science and Applications. ICDSA 2023. Lecture Notes in Networks and Systems, vol 818. Springer, Singapore. https://doi.org/10.1007/978-981-99-7862-5_24
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