KEYWORDS: Augmented reality, 3D modeling, Autoregressive models, Navigation systems, Data modeling, 3D displays, Mobile devices, Cameras, Geographic information systems, Sensors
With the development trend of the information society, various scenarios are being digitized and informatized. At the same time, people's requirements for the visibility and convenience of travel navigation are constantly increasing. Combining AR (Augmented Reality) technology with navigation has become a hot topic. However, currently, the production of most 3D (three-dimensional) scenes is complex and time-consuming, and lacks indoor scenes. Mainstream AR navigation is costly and cannot be widely used. This paper uses quickly established lightweight 3D scene models, which, after secondary development, form a B/S architecture for indoor and outdoor 3D scene applications. Simultaneously, it combines Three.js 3D rendering library technology with device sensors to form a mobile AR navigation application. This system and application provide scene browsing, building query positioning, path planning, and AR path navigation functions. It has the advantages of low development cost, short cycle, and low hardware requirements for devices.
In this research, a vector road data matching approach exclusively targeted at road data is proposed to suit the needs of quick and real-time updates of geographic databases. The location and kind of alterations to the road construction have to be precisely identified using this method. We suggest a technique for feature matching of vector road data from several eras under the same scale and geographic coordinate system by using the properties of road alignments. This helps us track changes in road development by allowing us to recognize how different road sections vary over time. Moreover, it forms the foundation for gradual updates of spatial data.
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