APPLYING TRAJECTORY TRACKING AND POSITIONING TECHNIQUES FOR REAL-TIME AUTONOMOUS FLIGHT PERFORMANCE ASSESSMENT OF UAV SYSTEMS

Abstract

This research presents a Performance Visualized Assessment (PVA) archetype via which the performance of autonomous Unmanned Aerial Vehicles (UAV) or drone framework can be scrutinized and evaluated. The PVA is a performance-based assessment method that appropriately fits in assessing the flight point of the UAV in an indoor situation and outside the requirement of GPS aid. The PVA prototype came up with is comprised of Visualized Mission Grid (VMG) and Chi-square (CSI) modules. The VMG maps viewable field information of the surrounding including the situation of the route mission. In addition, the utilization of restriction and optical stream indoor direction monitoring and trailing is used in the CSI. The PVA follows and evaluates the execution of the UAV autonomous operations by checking and envisioning the direction and the UAV action amid route missions. The implementation outcomes demonstrate that the PVA is able to precisely assess and envision the execution quality of three aerial missions.