Integrated navigation method for unmanned vehicles based on visual screening

Abstract

The invention relates to a pilotless automobile combination navigation method based on vision screening. The method comprises the following steps: carrying out the conversion for a coordinate system; recognizing a building occlusion angle; judging availability of a satellite signal in a non-line-of-sight environment; implementing an improved self-adaptive square-root volume kalman filtering algorithm. A combination navigation algorithm adopting vision information as a screening condition is provided, a concept of removing the non-line-of-sight transmission of satellite data is introduced, a judgment method is also provided, so that the GPS satellite data information with lower precision caused by the blocking of a building can be eliminated; different from the traditional combination method adopting the vision navigation to process the data in parallel in real time, the vision information is used for screening the GPS data on purpose, so that the dimensional disaster caused by adopting the vision navigation in the traditional method is avoided; the improved self-adaptive square-root volume kalman filter algorithm is provided, and the strong nonlinear problem of the navigation data when a pilotless intelligent car runs on urban roads is considered.

Description

technical field [0001] The invention relates to a visual screening-based integrated navigation method for unmanned vehicles, which belongs to the related field of integrated navigation. technical background [0002] Driver's subjective factor is the root cause of many traffic accidents, and about 90% of traffic accidents originate from driver's mistakes. In order to provide traffic safety and transportation efficiency, the research of autonomous driving intelligent vehicles has been valued by many countries and has become an important part of the research. Following the release of the first driverless smart car by Google in 2012, in April 2015, an driverless car developed by auto parts manufacturer Delphi completed a trip across the United States, which once again demonstrated the importance of driverless intelligence in recent years. The rapid development of vehicle technology. In 2009, the National Natural Science Foundation of my country established the "China Smart Car...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem that the non-line-of-sight (NLOS) transmission of the global positioning system (GPS) signal in the urban road environment of the unmanned smart car causes the error of the pseudo-range estimation, which leads to the inaccurate positioning, a visual information-based screening method is proposed. Combined Navigation Methods for Conditions

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