Abstract: Provided are a map data processing method and apparatus, and a storage medium, which relate to the field of data processing technology and, in particular, to artificial intelligence technology, for example, computer vision, map technology, and intelligent transportation. A specific implementation solution includes: processing landform coverage data according to a type of surface species coverage and a data processing rule associated with the type of surface species coverage to obtain a surface species coverage effect map; and generating a landform map according to the surface species coverage effect map and a reference map.

Abstract: The present disclosure provides a map data processing method, an electronic device and a storage medium, relates to a technical field of data processing, and in particular to the field of map data processing. A specific implementation solution is as follows: receiving first data encapsulated in a form of offline data, the first data being used to characterize low-frequency data in the map data; obtaining second data after initiating a first online request, the second data being used to characterize high-frequency data in the map data; and performing merging processing on the first data and the second data to obtain target data to be displayed in a map. By adopting the present disclosure, the timeliness of map data display may be improved.

Abstract: The present disclosure provides a map data processing method, an electronic device and a storage medium, relates to a technical field of data processing, and in particular to the field of map data processing. A specific implementation solution is as follows: receiving first data encapsulated in a form of offline data, the first data being used to characterize low-frequency data in the map data; obtaining second data after initiating a first online request, the second data being used to characterize high-frequency data in the map data; and performing merging processing on the first data and the second data to obtain target data to be displayed in a map. By adopting the present disclosure, the timeliness of map data display may be improved.

Abstract: Provided are a method for determining drawing data of a map element, an electronic device, and a non-transitory computer-readable storage medium. The specific implementation scheme includes determining a reference point position of a non-link element according to a relationship between the non-link element and adjacent link elements in an electronic map and based on lane edge positions of the adjacent link elements; determining a direction of the non-link element according to the relationship between the non-link element and the adjacent link elements; and determining drawing data of the non-link element according to the reference point position and the direction of the non-link element, where the drawing data is used for drawing and rendering an image of the non-link element in a link when the drawing data is loaded by a map interface.

Abstract: Provided are a map data processing method and apparatus, and a storage medium, which relate to the field of data processing technology and, in particular, to artificial intelligence technology, for example, computer vision, map technology, and intelligent transportation. A specific implementation solution includes: processing landform coverage data according to a type of surface species coverage and a data processing rule associated with the type of surface species coverage to obtain a surface species coverage effect map; and generating a landform map according to the surface species coverage effect map and a reference map.

Abstract: A road network data processing method, an electronic device, and a storage medium are provided, and relates to the field of the intelligent transportation. The method includes: determining a target road surface in a road image, wherein the target road surface is a road surface matching a road line in first road network data, the road image is an image, for a road, obtained according to a satellite image, and the first road network data is original road network data of a basic base map of an electronic map; and adjusting the road line to a road surface corresponding to a road width of the target road surface, to obtain second road network data of the basic base map.

Abstract: The present disclosure discloses a method and an apparatus for generating a map, relating to a field of intelligent transportation technologies in the field of computer technologies. The method includes the following. A street view image corresponding to a target road is obtained. The street view image is input into a preset deep learning model to obtain data of a candidate isolation belt corresponding to the street view image. The data of the candidate isolation belt includes information of the candidate isolation belt and a probability corresponding to the information of the candidate isolation belt. The information of the candidate isolation belt is corrected based on a preset correction strategy and the probability to obtain information of a target isolation belt. An icon corresponding to the information of the target isolation belt is added on a base map including the target road to generate a map.

Abstract: The present application discloses a method for displaying an electronic map, an electronic device and a readable storage medium, and relates to the technical field of electronic maps, intelligent transportation, automatic driving, artificial intelligence technologies, etc. The specific implementation scheme is: after receiving a downsizing instruction from an electronic device, a server generates second map data under a second scale according to first map data under a first scale, and obtains third map data by repairing the second map data according to a neighboring relation of map elements, and the third map data is configured to eliminate a crack between adjacent map elements in the plurality of map elements contained in the second map data. After receiving the third map data, the electronic device renders and displays the electronic map in the second scale.

Abstract: The present disclosure discloses a method and apparatus for merging data of building blocks, a device and a storage medium, and relates to the field of electronic map and big data. A specific implementation comprises: acquiring data of building blocks of a target work region; dividing the target work region containing the data of building blocks into at least one target region based on a preset geographic isolation attribute; dividing each target region into at least one grid region based on a direction feature of a building block obtained by performing a direction feature extraction on the data of building blocks; and determining a relative positional relationship between corresponding building blocks based on data of building blocks in each grid region, and merging data of building blocks of at least two building blocks having a preset positional relationship.

Abstract: The present application discloses a method for displaying an electronic map, an electronic device and a readable storage medium, and relates to the technical field of electronic maps, intelligent transportation, automatic driving, artificial intelligence technologies, etc. The specific implementation scheme is: after receiving a downsizing instruction from an electronic device, a server generates second map data under a second scale according to first map data under a first scale, and obtains third map data by repairing the second map data according to a neighboring relation of map elements, and the third map data is configured to eliminate a crack between adjacent map elements in the plurality of map elements contained in the second map data. After receiving the third map data, the electronic device renders and displays the electronic map in the second scale.

Abstract: The present disclosure discloses a method and an apparatus for generating a map, relating to a field of intelligent transportation technologies in the field of computer technologies. The method includes the following. A street view image corresponding to a target road is obtained. The street view image is input into a preset deep learning model to obtain data of a candidate isolation belt corresponding to the street view image. The data of the candidate isolation belt includes information of the candidate isolation belt and a probability corresponding to the information of the candidate isolation belt. The information of the candidate isolation belt is corrected based on a preset correction strategy and the probability to obtain information of a target isolation belt. An icon corresponding to the information of the target isolation belt is added on a base map including the target road to generate a map.