Abstract
Unmanned aerial vehicles (UAVs), one of the fastest growing and the most emerging future technologies, is in demand everywhere, from using it as goods carrier to structural monitoring, from surveillance application to using it in the battle field, and in the battle field too, it varies from an attacker to an ambulance, depending on the circumstances. Also, according to the applications and operations, fixed wing and multicopter aircrafts are used. The ideas related to designing, materials, manufacturing, assembling, application, controlling, etc., keep on changing this technology, and for this reason, we have come so far from the start-up basic model. In spite of these sort of upgradation, there are still challenging problems which does not affect only one particular function, but it degrades the whole functionality of an overall, expected to perform well in its operation, UAVs. Some important drawbacks can be solved with the help of different technologies which in turn will be the possible solutions for our challenges.
References
Skysense Company—Charging Pad Datasheet 201601
Victor HL (1990) Cheng: concept development of automatic guidance for rotorcraft obstacle avoidance. IEEE Trans Rob Autom 6(2):252–257
Becker M, Coronel R, Sampaio B, Bouabdallah S, Vincent de perrot, roland Seigwart: In: Flight Collision Avoidance for a Mini UAV Robot Based on On-Board Sensors
Gageik N, Müller T (2012) Obstacle detection and collision avoidance using ultrasonic distance sensors for an autonomous quadrocopter
Sabatini R, Gardi A, Richardson MA (2014) LIDAR obstacle warning and avoidance system for unmanned aircraft, world academy of science, engineering and technology. Int J Mech Aerosp Ind Mechatron Manuf Eng 8(4)
Bouabdallah S, Becker M, Perrot V, Siegwart R (2007) Toward obstacle avoidance on quadrotors. In: XII DINAME—International Symposium on Dynamic Problems of Mechanics, 2007, Ilhabela—SP. Proceedings of DINAME 2007, 2007. vol 1, pp 1–10
Hossain A (2013) Undefined obstacle avoidance and path planning. In: 120th ASEE Annual Conference and Exposition (2013)
Rambabu R, Bahiki MR, Md Ali SA (2015) Relative position-based collision avoidance system for swarming uavs using multi-sensor fusion. ARPN J Eng Appl Sci (2015)
Proud RW, Hart JJ, Mrozinski RB (2013) Methods for determining the level of autonomy to design into a human spaceflight vehicle: a function specific approach. In: NASA Johnson Space Center
Vachtsevanos G, Ludington B, Reimann J, Antsaklis P, Valavanis K (2005) Modeling and control of unmanned aerial vehicles—current status and future directions. In: Workshop on Modeling and Control of Complex Systems (MCCS), Ayia Napa, Cyprus
Goyal P, Smeur E, de Croon G (2016) Mission planning for sensor network deployment using a fleet of drones. In: Delft University of Technology, Delft, Zuid-Holland, 2629 HS, The Netherlands
Boggero L (2015) Autonomous planning and replanning of a single Unmanned Aerial Vehicle: strategies and simulations. In: CEAS
Favini E, Niezrecki C, Chen J, Willis D, Niemi E, Manohar S, Desabrais K, Charette C (2012) Sensing performance of electrically conductive parachute fabrics and suspension lines. In: AIAA conference and seminar, Dublin, Ireland. B
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Garvit Pandya, K., Nesamani, K. (2018). UAV Advancement: From Increasing Endurance, Route Re-Plan and Collision Avoidance, to Safe Landing in Critical Conditions. In: Singh, S., Raj, P., Tambe, S. (eds) Proceedings of the International Conference on Modern Research in Aerospace Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-5849-3_12
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DOI: https://doi.org/10.1007/978-981-10-5849-3_12
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