An Unmanned Aerial Vehicle Framework Design for Autonomous Flight Path
Ayshwarya Janarthanan, Hann Woei Ho, Lenin Gopal, Veeramani Shanmugam, Wei Kitt Wong · 2019
Unmanned Aerial Vehicle (UAV) has become a preferred choice due to it robustness, reliability and efficiency, at an economically lower cost. The present study is intended to develop a UAV that is capable of navigating autonomously, using path planning algorithm, incorporating a collision avoidance approach at the lowest possible cost. This paper addresses the current issues of auto-piloting UAVs with collision avoidance mechanisms, that are commercially available, however, these systems are too large and expensive. The framework design of the UAV consists of a quadcopter frame, a flight controller, four motors, a Global Positioning System (GPS) system, an on-board telemetry system, a battery source and a raspberry pi camera processor board with a camera module. In the proposed UAV design, a preliminary software is designed to enable the UAV to navigate autonomously, on a pre-set designated flight path. The designed UAV provides a birds-eye view of its designated flight path to monitor the traffic flow.