Reliability Analysis and Measurement of Drone Tasks Based on Environmental Interference Simulation

The analysis and evaluation of drone task reliability is a pressing issue, especially for fundamental tasks such as target recognition. This paper proposes a reliability analysis and evaluation method for drone target recognition tasks based on environmental interference simulation experiments. By designing the task profile for target recognition, the process of the target recognition task, the involved software and hardware systems, and potential influencing factors are clarified. Based on simulation experiments of external environments, such as wind fields, the impact of such interference on drone flight attitude and target recognition tasks is analyzed. By measuring the changes in algorithm recognition accuracy before and after interference, the reliability of drone target recognition tasks can be evaluated to a certain extent. This paper provides a method for analyzing and measuring the reliability of drone task execution from the perspective of software and hardware system coupling, which can guide drones and other unmanned systems to perform tasks more reliably.