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Design of an automatic landscape design system in smart cities based on vision computing
Wei Wu1, Shicheng Luo1, Hongying Wang1
1School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei 430068, China.
Mathematical Biosciences and Engineering : MBE
|November 3, 2023
Summary
This study introduces an automatic landscape design system for smart cities, leveraging vision computing to reduce reliance on expert labor. The system demonstrates the effectiveness of visual data processing in landscape design, offering a prototype for future engineering applications.
Area of Science:
- Computer Science
- Urban Planning
- Artificial Intelligence
Background:
- Smart cities require innovative solutions to automate complex tasks like landscape design.
- Reducing reliance on expert labor is crucial for efficient urban development.
Purpose of the Study:
- To design and implement an automatic landscape design system for smart cities.
- To integrate vision computing for robust visual information fusion in design.
- To evaluate the significance of visual data processing over traditional methods.
Main Methods:
- A framework encompassing function analysis, structure design, and implementation.
- Integration of vision computing throughout the design process.
- Model analysis comparing visual and traditional data processing techniques.
Main Results:
- Vision computing technology provides essential technical support for automatic landscape design.
- The proposed system effectively simulates landscape design generation.
- Performance testing validates the system as a viable prototype.
Conclusions:
- The developed automatic landscape design system is a promising prototype for smart cities.
- Visual information processing is critical for advancing automated design solutions.
- Further development can lead to realistic engineering applications in urban planning.
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