Deep learning applications in aerial robotics
Master of Science in Computer Science
Faculty / School
Faculty of Computer Sciences (FCS)
Department of Computer Science
Date of Award
Dr. Muhammad Sarim.
Committee Member 1
Dr. Muhammad Sarim, Supervisor, Department of Computer Science, Institute of Business Administration (IBA), Karachi
MSCS Survey Report
Robotics, Artificial neural network.
Abstract / Summary
In recent years, there has been a wide spread use of miniature drones, also called unmanned aerial vehicles (UA VS) in different civilian applications. Few of the wide range use of these aerial robots include, but are not limited to, search & rescue, covering sports events, helping wildlife conservation efforts (Price, et al. 2018), aerial surveillance, goods transportation, surveying & inspection tasks (Li, et al. 2017), three dimensional mapping, monitoring & irrigating crops (Truj illano, et al. 2018), traffic monitoring etc. Deep learning algorithms such as deep convolution neural networks or neural networks in general, due to being universal function approximators, have gained the attention of the aerial robotics research community for the last few years. Successfully applying the deep learning algorithms can accomplish the communities' dream of automating the aforementioned tasks, which until few years back could only be done through a manual control of these drones. The study is based on the research survey about deep learning applica
Akbani, M. F. (2019). Deep learning applications in aerial robotics (Unpublished survey report). Retrieved from https://ir.iba.edu.pk/research-projects/24
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