Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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    FANS: Flying Ad-hoc Network Simulator
    (Association for Computing Machinery, Inc, 2022) Dhongdi, S.C.; Tahiliani, M.P.; Mehta, O.; Dharmadhikari, M.; Agrawal, V.; Bidwai, A.
    Advancement in the Embedded and Microelectromechanical systems have led to the development of small, low cost and light weight Unmanned Aerial Vehicles (UAVs). Multiple such UAVs can be used to form a Flying Ad-hoc Network (FANET) to assist in various military, civilian and commercial applications. For effective real-time implementation of FANET, a rigorous testing is needed, both in simulation and using hardware testbeds. In this paper, we propose a Flying Ad-hoc Network Simulator (FANS) platform. This co-simulator platform interlinks Network Simulator (ns-3) and robot simulator (Gazebo) with help of Robot Operating System (ROS). We showcase an implementation of land-area survey application of FANET using this platform. A tailor-made topology for the land-area survey application along with network protocol stack has been designed, implemented and analysed using the developed platform. The results for the land area survey application have been show-cased for network parameters such as Packet Delivery Ratio (PDR), hop-by-hop delay and end-to-end delay. © 2022 ACM.
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    Online Video Stabilization using Mesh Flow with Minimum Latency
    (Institute of Electrical and Electronics Engineers Inc., 2023) Devaguptam, D.; Thanmai, K.; Raj, L.S.; Naik, D.; Kolkar, R.
    Most existing video stabilization techniques are used for post-processing, where previously recorded videos are given to the model to obtain stabilized versions. Online video stabilization usually relies on sensors like gyroscopes or assumes constant motion, which is not suitable for videos with changing motions. This work introduces a video stabilization technique with just one-frame latency. The algorithm operates at the spatial level in the infrequent domain, tracking the motion of mesh vertices. Motion tracks of feature marks are combined with the nearest mesh vertex using two median gauges, assigning each vertex a smooth motion track. The proposed approach, called anticipated foster track leveling, smoothes the motion profiles by utilizing previous motions and adapting accordingly for smoother results. This method can handle changes in movement in space and time and works in real-time, allowing applications in security systems, robotics, and unmanned aerial vehicles (UAVs). When evaluated against other models, MeshFlow gives an overall good performance in all comparison metrics evaluated. Hence MeshFlow can be used as a reliable low-latency technique for real-time video stabilization in remote devices. © 2023 IEEE.