Evolution of Unmanned Aerial Vehicles (UAVs) with Machine Learning

Abstract

Unmanned Aerial Vehicles (UAVs) are promising choice for smart agriculture, monitoring in military and civil areas, upgrading network capacity in both cellular and wireless network, industry 4.0 and many other areas. The huge applications involved with UAV inspire researchers to boost the working of UAV technology. The resources in UAV technology are required to be used in well-organized manner due to energy and transmitting power constraints. Machine learning is the key to develop and give probabilistic solutions based on the real time data for user's problem. Recently machine learning has taken boom in the evolution of UAV technology also. This paper presents the survey and comparative analysis of the latest research work which has been conducted for the development of UAV with machine learning techniques. The research work carried for different domains of UAV systems is chosen for covering the diversity of the topic.