Unmanned Aerial Vehicle Perception System Following Visual Cognition Invariance Mechanism

Humans have a fundamental ability that is fulfilling visual perception with complex brain functions, while intelligent sensors onboard UAVs do not have. The difficulties mainly lie in the inexhaustive study of brain science and the homologous mathematical description. In this paper, a visual cognition invariance mechanism has been proposed, which first review studies in brain research, moving from theoretical to practical. These terms are then reconsidered from brain pathways of visual perception. Next, a conceptual model of visual cognition invariance mechanism is proposed and the mathematical deduction is fulfilled. Furthermore, an experimental unmanned aerial vehicle is built to practically implement the proposed algorithm. The simulation results and experimental practices have validated the effectiveness and celerity of our method. Finally, a general discussion and proposals for addressing future issues are given.