A method and apparatus for accessing map data

Abstract

The embodiment of the invention discloses a method and device for accessing map data. The method and device can be used for automatic driving. One specific embodiment of the method comprises the stepsof determining whether a cache stores map data blocks corresponding to a current position or not in response to the current position change of the driverless automobile; if the cache stores the map data block corresponding to the current position, reading the map data block corresponding to the current position from the cache; if the cache does not store the map data block corresponding to the current position, obtaining the map data block corresponding to the current position from the map data server, and writing the map data block corresponding to the current position into the cache; accessing map data blocks corresponding to the current position; If the current position is changed or the map data blocks corresponding to the current position are not stored in the cache, pre-fetching themap data blocks in a preset range from the map data server, and writing the map data blocks in the preset range into the cache. According to the embodiment, the query efficiency of the map data is improved.

Description

technical field [0001] The embodiment of the present application relates to the field of computer technology, and in particular to a method and device for accessing map data. Background technique [0002] Autonomous driving maps are a necessary means to realize L4 autonomous driving, and are widely used in scenarios such as path planning, perception, prediction, and user interaction. At present, the map data access method is generally to load the map data into the memory at one time in the initial stage, establish a memory model for the map data, and establish a spatial index and an identification (ID) index, and realize the map data through index retrieval. Access. [0003] However, with the development of unmanned driving technology, the scale of high-precision map data is also increasing, and the memory resources occupied by map data loading are also increasing. Taking the 200KM road network of a certain city as an example, the memory usage for loading the full map data...

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