A vehicle positioning method based on v2x map message set

Abstract

The invention discloses a vehicle positioning method based on a V2X MAP message set. According to the MAP message set, the screening and positioning calculation is performed on the directional road sections under the MAP nodes, and then the lanes under the directional road sections that meet the requirements are screened. Positioning calculation, the final output of a corresponding node, directional road section, and lane information that meets the requirements of the vehicle's location (that is, meets the positioning requirements), for various V2I applications to call; it satisfies the maximum extent of the vehicle's different roads Accurate positioning requirements of the model, thereby improving the efficiency and stability of V2I applications, meeting the needs of future V2I application development, and better adapting to mass production.

Description

technical field [0001] The invention belongs to the technical field of vehicle-to-vehicle networking (that is, V2X), and in particular relates to a vehicle positioning method based on a V2X MAP message set. Background technique [0002] With the development of V2X technology and the country's vigorous popularization of V2X technology, more and more V2X applications have been discovered. Among them, V2I mainly refers to a communication method for the interconnection between vehicles and roadside equipment. When vehicles become more and more intelligent, single-vehicle intelligent driving alone can no longer meet the application and development in complex environments. At this time, it is necessary to pass basic The construction of facilities strengthens the intelligence of the road, and establishes a vehicle-road coordination system through V2I in V2X, thereby achieving a brand-new intelligent transportation system. At present, major developers have widely applied V2I scenar...

AI Technical Summary

Problems solved by technology

The positioning methods currently designed are generally divided into two categories: one is too simple, and can only simply meet the positioning of straight roads. There are often large errors in the positioning of curves, and often lead to positioning errors in complex and dense roads, which cannot adapt Different roads cannot adapt to ramps, bends, or multi-intersections; the other type is too complex, the positioning algorithm is too lengthy, complex, error-prone, requires high equipment, and requires a large amount of calculation , which is not conducive to the mass production of vehicle-mounted devices, which will lead to high cost of vehicle-mounted devices in order to meet performance, and poor positioning timeliness, which often cannot meet the requirements of applications.

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