Publication Type : Conference Paper
Publisher : 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT)
Source : 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT), IEEE, Kollam, India (2017)
Url : https://ieeexplore.ieee.org/document/8074216
ISBN : 9781509049677
Keywords : aircraft landing guidance, automatic landing, autonomous aerial vehicles, emergency landing, Estimation, helicopters, landing area, landing surfaces, landing zone, landing zones, Mobile robots, MOSO, Multi-robot systems, Multiple objective Swarm Optimisation technique, Multiple Objective Swarm Optimization, Optimization, particle swarm optimisation, particle swarm optimization, Quad-Copter, quadcopters, Sonar, Sonar measurements, sonar sensor, surface detection, Surface treatment, swarm quadrotors, swarm size, terrain estimation, terrain mapping, unknown terrain, Unmanned aerial vehicles
Campus : Amritapuri
School : School of Engineering
Department : Electrical and Electronics, Robotics and Automation
Year : 2017
Abstract : This paper presents a method for emergency landing of a fleet of quadcopters on an unknown terrain using a sonar sensor. Quadcopters are equipped with sonar sensors for estimation of heights and the terrain is analysed. These data from the quadcopters are used for determining the landing area. Landing zone is considered in such a way that each quad is landed using lesser Energy. Multiple objective Swarm Optimisation technique (MOSO) is used for determining the landing surfaces and guiding each quad to its corresponding landing zones. Algorithms for terrain estimation, surface detection and landing are simulated for a swarm size of three.
Cite this Research Publication : N. Shijith and Meher Madhu Dharmana, “Sonar based terrain estimation amp; automatic landing of swarm quadrotors”, in 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT), Kollam, India, 2017.
