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- W2379848483 abstract "To satisfy the autonomous navigation demands such as good accuracy,real time and high reliability for intelligent vehicle,a new multi-sample integrated navigation method,in which SINS was aided by GPS/Vision sensors,was proposed.In the method,the observation information includes two parts: one is the position velocity and attitude informed by SINS/GPS while the other is the position informed by Vision.The adaptive filtering by selecting the parameter weights was adopted in the sub-filter,which braked divergence of filter and enhances precision of filter.A new method was proposed which determined the information-sharing factors dynamically and adaptively based on singular value decomposition of the covariance matrix of the estimated errors.The method could effectively improve the precision of the estimated errors.Simulation results show that the proposed integrated navigation system can provide abundant navigation information with cm-level navigation accuracy and good fault-tolerant performance.Even when GPS is continuously interrupted for a period,the intelligent vehicle can still obtain reliable navigation information by the integrated navigation method." @default.
- W2379848483 created "2016-06-24" @default.
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- W2379848483 date "2011-01-01" @default.
- W2379848483 modified "2023-09-26" @default.
- W2379848483 title "Research on Improved DGPS/INS/Vision Integrated Navigation Technique" @default.
- W2379848483 hasPublicationYear "2011" @default.
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