Urban rail three-dimensional navigation map optimization method based on multi-source geographic information model

Abstract

The invention relates to the technical field of indoor navigation, in particular to an urban rail three-dimensional navigation map optimization method based on a multi-source geographic information model. The method comprises the following steps of A, constructing a basic map of an urban rail transit three-dimensional electronic map, B, removing the top and the range body of the indoor space of the urban rail, C, performing path matching to obtain path information, and realizing construction of a shortest path for avoiding obstacles, and D, optimizing the view angle of the map to display the urban rail three-dimensional navigation map. According to the method, the visual matching technology and the automatic path matching technology are utilized, self-adaptive map viewing, automatic range body removing and map expression mode optimizing are achieved, the urban rail three-dimensional navigation map optimizing function is achieved, and passenger navigation experience and map understanding are improved.

Description

technical field [0001] The present invention relates to the technical field of indoor navigation, in particular to a method for optimizing a city track three-dimensional navigation map based on a multi-source geographic information model. Background technique [0002] Indoor navigation is at the forefront of the field of geospatial information science today. Reasonably optimizing the display of map information and enhancing the expressive power of maps has become one of the focuses of geographic information science research. [0003] The navigation technology based on the indoor space model develops rapidly. In the 1990s, Arc Second of the United States developed the first indoor navigation system. In 2012, Nokia, Samsung, Sony Mobile and 19 other companies jointly established the "In-Location Alliance". Lin Diao et al proposed a method based on graph theory to build a semantic indoor navigation model, considering the representation of three types of information: geometry,...

AI Technical Summary

Problems solved by technology

[0009] (1) The non-exposed space map display in the existing technology is mostly a two-dimensional planar map, and the map information display technology is still lacking and lacks optimization

[0010] (2) The AR real-world navigation technology mainly developed by Baidu and AutoNavi can realize 3D map optimization navigation technology, but this 3D navigation method cannot display the 3D path map of the starting point and the ending point

[0011] (3) Viewing the 3D electronic map in the prior art often needs to manually adjust the angle of view to achieve the best observation purpose, and it is impossible to realize the self-adaptive viewing of the map

[0012] (4) The path matching methods commonly used in path navigation in the prior art include Dijkstra algorithm, D* algorithm, point adjustment algorithm, and A* algorithm, but there is little research on the method of avoiding obstacles and constructing the shortest path in a three-dimensional indoor environment

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