Abstract
Up until a few years ago, the only way to get an aerial overview of a designated area was to fly over it with a manned aircraft and physically inspecting the areas or taking pictures of it. Unmanned Aerial Vehicles, have been a blessing to all the industries which relied on aerial images or drawings for their work. Unmanned aerial vehicles also knows as drones, in more colloquial terms, is a blessing to all industries in the world. The cost of manufacturing and assembling drones have gone down significantly as majority of people adapted to using it. The film industries are using it to get excellent footage with accurate direction and lighting. Civilians can use it as toys. Students can use it to learn avionics and flight mechanisms. Youtubers use it for professional high resolution footage. Rescue teams use it for surveying the area. Armies use it to get a tactical advantage in a firefight and recently, Amazon is using drones for superfast delivery service. The possibilities are endless if properly invested on. Machine Learning and Artificial Intelligence are next best thing in the field of Computer Science and that's why I plan to merge these two fields and present something which fundamentally adds more features and a hive mind facility to even work without a commanding signal.
Cite
CITATION STYLE
Mondal, M., & Syryamkin, S. I. (2019). Gesture based terrain mapping and recognition-overview. In IOP Conference Series: Materials Science and Engineering (Vol. 516). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/516/1/012050
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