The bionic navigation algorithm for the flying insect

• 1、National Key Laboratory of Science&Technology on multi_spectral information processing,Huazhong University of Science and Technology,Wuhan,430074

Abstract：Flying insects like fruit fly and bee have simple but delicate brain structure, which make them handle the flying mission like smooth landing, navigation to the food source and obstacle avoiding successfully. These attracted tremendous researchers to study the visual mechanism of insects. Many experts present through the experiment that flying insects like bee and fruit fly navigate themselves to the food source by the motion of the visual images. There will be great significance for innovated navigation system by studying the visual mechanism of bee. This paper give a brief introduction for the vision mechanism of flying insects, and present a simple concept of entropy flow for bionic-navigation system, and present a self-adaptation election algorithm to get rid of noisy data. Simulation results show that the navigation using the texture of images can be efficient and effective method to navigate the drone to the correct destination.

Keywords： Navigation guidance and control bionic navigation entropy flow self-adaptation election algorithm