Method and device for constructing dynamic high-precision map and traffic cloud control platform

Abstract

The embodiment of the invention provides a method and device for constructing a dynamic high-precision map and a traffic cloud control platform. In the embodiment of the invention, the absolute coordinates of the traffic elements (such as vehicles, pedestrians, road signs and the like) are obtained by fusing the multi-source sensor data, so that the coordinates obtained by the method are more accurate compared with the coordinates obtained by a single sensor. Moreover, according to the embodiment of the invention, the dynamic traffic situation data can be obtained by analyzing the data of the multi-source sensor, and more comprehensive and real traffic conditions can be obtained by simulation in combination with the absolute coordinate information and the dynamic traffic situation data. Furthermore, the high-precision map data can be updated in real time on the basis of updating of the multi-source sensor data, and the 3D dynamic high-precision map which is updated in real time and dynamically changes is obtained. In the embodiment of the invention, the dynamically updated 3D dynamic high-precision map can be displayed in real time through the traffic cloud control platform, and the traffic cloud control platform can provide traffic control information for the user.

Description

technical field [0001] The embodiments of the present invention relate to the field of information processing technology, and in particular to a method, device and traffic cloud control platform for constructing a dynamic high-precision map. Background technique [0002] In related technologies, the mainstream high-precision positioning strategy mostly adopts the method of combining GNSS / RTK and high-precision maps, but there is still the problem of wrong road positioning in some scenarios. Although the accuracy of positioning can be improved by combining feature matching positioning methods, none of the existing feature matching positioning methods can achieve the accuracy required in the vehicle-road coordination system. At present, there is a lack of real-time construction and display methods for dynamic high-precision maps, and it is impossible to make decisions based on the current real traffic environment. [0003] It can be seen that there is an urgent need for a met...

AI Technical Summary

Problems solved by technology

Although the accuracy of positioning can be improved by combining feature matching positioning methods, none of the existing feature matching positioning methods can achieve the accuracy required in the vehicle-road coordination system

At present, there is a lack of real-time construction and display methods for dynamic high-precision maps, and it is impossible to make decisions based on the current real traffic environment

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