Urban Drone Control through Machine Learning Technique

Satish Kumar T, Vishwakiran, Fasiha Kausar

Tremendous advances in IOT have occurred in recent years. IOT technology has brought in tremendous transformation in our professional and personal life. In the modern era of machining, autonomous aerial vehicle is currently under the focus of academic and industrial research. As the innovation ofunmanned aerial vehicles (UAVs) has been developed in recent years, it has begun to be area of interest to build UAV based services in traffic management, protecting military, preventing disasters, logistics and agriculture. While the ever-growing number of UAVs engaged in civil and commercial operations, the autonomy of these systems are also arising. Civilian and commercial drones are intendedfor use in an activitylike aerial inspection, delivery, control of current system. Even drones face lots of challenges in order to travel independently in a sustainable and secure way in highly unstructured and dynamic scenarios. This paper presents an approach for the drone to keep navigating while avoiding the obstacles and it also prevents the drone from collision probability and let the drones to recognize the dangerous situations.

Volume 12 | 06-Special Issue

Pages: 941-951

DOI: 10.5373/JARDCS/V12SP6/SP20201113