Vector map matching navigation method with anti-scale transformation

作者：Sun Yong Rong^*; Huang Bin; Wang Li Na; Gao Xiao Ying; Kang Guo Hua

来源：Journal of Chinese Inertial Technology, 2013, 21(1): 89-92+111.

• Anti-scale transformation
• Navigation methods
• Position and attitude solver
• Real-time images
• Space efficiencies
• Standard deviation
• Time efficiencies
• Vector maps

Vector map matching navigation(VMMN) has advantages such as lossless transformation, space efficiency and time efficiency when compared with scene matching navigation(SMN). Focusing on the problem that real-time image and reference image have different scales in VMMN process, a position and attitude solver algorithm with anti-scale transformation was proposed and applied to the VMMN System (VMMNS). The algorithm takes the scale factor as an unknown parameter, and can avoid the big solution errors caused by scale differences. The simulation results show that, when the proposed position and attitude solver algorithm is used in VMMNS with small-scale transformation, the solved latitude and longitude have standard deviations of less than 0.06″, and the heading angle has a standard deviation of less than 0.06°.

• 出版日期2013
• 单位南京航空航天大学