High-precision map system used for intelligent automobile and based on edge calculation

Abstract

The invention discloses a high-precision map system used for an intelligent automobile and based on edge calculation. The high-precision map system comprises a static map module, a dynamic data module and a user service module. The static map module is used for receiving external sensor information and describing a static vehicle driving environment; the dynamic data module is used for receiving information of a vehicle sensor, a roadside sensor and the static map module in a node range to form total dynamic data of a map in the node service range; and the user service module is used for receiving the personal information of a user, the information of the static map module and the information of the dynamic data module, directly conducting calculating in the user service module according to the personal information of the user, planning a path in the node range, and providing information service which is most matched with a current scene through self-adjustment. The invention provides the high-precision map system used for the intelligent automobile and based on edge calculation and an application method thereof, so efficient, high-speed and high-quality dynamic map service is realized.

Description

technical field [0001] The present invention relates to a high-precision map, in particular to an edge computing-based smart car high-precision map system. Background technique [0002] High-precision maps, generally speaking, are electronic maps with higher precision and more data dimensions. The higher accuracy is reflected in the accuracy to the centimeter level, and the data dimension is more reflected in the fact that it includes surrounding static information related to traffic in addition to road information. [0003] High-precision maps store a large amount of driving assistance information as structured data, which can be divided into two categories. The first category is road data, such as lane information such as the position, type, width, slope, and curvature of lane lines. The second category is fixed object information around the lane, such as traffic signs, traffic lights and other information, lane height limits, sewer intersections, obstacles and other roa...

AI Technical Summary

Problems solved by technology

[0004] There are two main problems in the current application of high-precision maps: First, the data structure and interactive format of high-precision maps that provide services for autonomous driving are not yet clear. The format, description, and association rules of high-precision maps for electronic navigation are quite different from the actual needs of autonomous driving. At the same time, they focus on static and environmental descriptions, and cannot represent semi-dynamic and dynamic map information; The map is mainly deployed as a static file on the vehicle side. Not only is it limited by the single-view of the vehicle, it is difficult to understand road congestion and queuing information in real time. At the same time, it increases the computing load on the vehicle side. In addition, after arriving in a new city or environment, a large-scale map is required. Data download or update

The information transmission model in this document is not perfect, which makes the module relatively simple and needs to be further supplemented

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