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Houssem R. E. H. Bouchekara, Bashir O Sadiq, Sikiru O Zakariyya, Yusuf A. Sha?aban, Mohammad S. Shahriar and Musab M. Isah
Images taken by drones often must be preprocessed and stitched together due to the inherent noise, narrow imaging breadth, flying height, and angle of view. Conventional UAV feature-based image stitching techniques significantly rely on the quality of fe...
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Anand George, Niko Koivumäki, Teemu Hakala, Juha Suomalainen and Eija Honkavaara
Positioning of unoccupied aerial systems (UAS, drones) is predominantly based on Global Navigation Satellite Systems (GNSS). Due to potential signal disruptions, redundant positioning systems are needed for reliable operation. The objective of this study...
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Shiva Raj Pokhrel and Michel Mandjes
We consider multipath TCP (MPTCP) flows over the data networking dynamics of IEEE 802.11ay for drone surveillance of areas using high-definition video streaming. Mobility-induced handoffs are critical in IEEE 802.11ay (because of the smaller coverage of ...
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Dana Utebayeva, Lyazzat Ilipbayeva and Eric T. Matson
The detection and classification of engine-based moving objects in restricted scenes from acoustic signals allow better Unmanned Aerial System (UAS)-specific intelligent systems and audio-based surveillance systems. Recurrent Neural Networks (RNNs) provi...
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Helena Costa, Andrew Rogan, Christopher Zadra, Oddbjørn Larsen, Audun H. Rikardsen and Courtney Waugh
Analysis of cetacean blow offers a unique potential for non-invasive assessments of their health. In recent years, the use of uncrewed aerial vehicles (UAVs) has revolutionized the way these samples are collected. However, the high cost and expertise ass...
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