Degree

Master of Science in Computer Science

Faculty / School

Faculty of Computer Sciences (FCS)

Department

Department of Computer Science

Date of Award

Spring 2019

Advisor/Supervisor

Dr. Muhammad Sarim.

Committee Member 1

Dr. Muhammad Sarim, Supervisor, Department of Computer Science, Institute of Business Administration (IBA), Karachi

Project Type

MSCS Survey Report

Access Type

Restricted Access

Subjects

Computer Science

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

Pages

vii, 25

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