Star sensors achieve very accurate attitudes for space vehicles by comparing observed stars in their field of view with the cataloged guide stars. Guide star selection is a key work during the star sensor designing. Infrared star sensor provides accuracy navigation information to air vehicles which fly near the ground in the atmosphere. According to working characteristics of the infrared star sensors, 2MASS(Two Micron All Sky Survey) star catalog is adopted as the raw star source. On the basis of analyzing its data structure, the scheme of selecting binary stars as guide stars and calculating their equivalent magnitudes and positions is discussed. The procedures to select the guide stars are described completely by processing 2MASS. The guide star catalog for infrared star sensors is established. The result proves that guide stars in the near infrared band are far more than those in the visible band in case of the same limiting magnitude. Star camera of infrared star sensors can adopt systems having smaller aperture or narrower field of view.
Modern industrial production technology is developing rapidly in recent decades. More and more traditional manual productions are becoming automatic when new automatic technologies are introduced among which machine vision plays an indispensable role. Aiming at the unmanned automatic production line of special steel castings in Shanghai MengTeng automatic technology co., LTD , in this paper an algorithm to recognize and position the special steel castings autonomously is proposed based on the binocular vision theory. The technologies including the pyramid hierarchical matching and the deep neural network are described in detain. The identification and positioning of special steel castings is realized. Its procedures are described completed. Some experiments are implemented by using manipulator to grasp the steel castings and running the proposed algorithm. It proves that the proposed algorithm achieves satisfactory results.