Map generation method and device

Abstract

The application discloses a map generation method and device. One embodiment of the method comprises the steps that GPS data and driving condition information in the driving process of at least one vehicle are received; the GPS data of all the vehicles are analyzed so that road lines are obtained; the driving condition information of all the vehicles is analyzed so that line information of all the road lines is obtained; and a map is generated according to all the road lines and the line information of all the road lines. According to the embodiment, range of data acquisition is expanded and investment of data acquisition is reduced, the manufacturing process of an electronic map is simplified and precision and accuracy of the electronic map can be enhanced.

Description

technical field [0001] The present application relates to the field of transportation and communication technologies, in particular to the field of electronic maps, and in particular to a map generation method and device. Background technique [0002] With the rapid development of network technology, communication technology and geographic information system technology, electronic maps have become an indispensable part of people's daily travel. The existing electronic map production process often requires a professional electronic map data collection team and vehicles to collect data, then organize and edit the collected data, and finally generate and update the electronic map. Therefore, the entire production process requires a lot of manpower and material resources, and the scope of data collection is limited to the geographical range reached by the electronic map data collection team and vehicles. In addition, due to the influence of measurement cost, measurement omissio...

AI Technical Summary

Problems solved by technology

The existing electronic map production process often requires a professional electronic map data collection team and vehicles to collect data, then organize and edit the collected data, and finally generate and update the electronic map. Therefore, the entire production process requires a lot of manpower and material resources, and the scope of data collection is limited to the geographical range reached by the electronic map data collection team and vehicles

In addition, due to the influence of measurement cost, measurement omission and other factors in the data collection process, the road measurement points are often relatively sparse, which seriously affects the precision and accuracy of the generated electronic map

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