Dynamic Urban Viewing Corridor Simulation via AR

The patent replaces manual field survey methods with automated computer-based image analysis technology. Street view pictures are automatically captured and processed through AI image recognition algorithms to identify landscape elements and calculate viewing areas, eliminating subjective human evaluation while maintaining operational simplicity.

The patent uses street view pictures as digital copies of the urban landscape to perform analysis. These image copies contain sufficient visual information to identify mountains, water, architecture, and other landscape elements, allowing precise measurement without requiring physical field surveys.

The patent transforms the static street view image analysis into a dynamic interactive system. Users can input different planning schemes, and the system dynamically recalculates and displays the viewing corridor analysis results in real-time, enabling interactive exploration of different urban planning scenarios.

The patent implements a feedback mechanism where the system not only analyzes current viewing corridors but also provides optimized responses for planning schemes. The analysis results feed back into the planning process, allowing iterative improvement of urban design based on quantitative viewing corridor metrics.

The patent uses actual street view pictures captured from the urban environment as the basis for analysis, rather than relying on idealized digital models. These real photograph copies preserve the authentic visual characteristics, lighting conditions, and actual landscape elements present in the urban space.

The patent focuses analysis on specific local viewing points and directions captured in street view pictures. By analyzing each location's actual visual characteristics rather than applying uniform digital modeling assumptions, the method preserves the local authenticity of different urban landscapes including variations in architecture, terrain, and vegetation.