AI Golf Course Generation With Difficulty-Based Obstacle Layout
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Solution Overview
Problem
Existing virtual golf platforms lack the ability for users to design and customize golf courses, limiting enjoyment and satisfaction, and there is a need for technology that can automatically generate golf courses with varying difficulty levels based on specific design components and obstacle factors.
Innovation Solution
An electronic device and method for automatically generating a golf course, including a display module, memory, and processor that allows users to design components like tee boxes, fairways, and greens, calculate difficulty levels, and determine obstacle positions based on user input, using artificial intelligence to render VR content for golf games.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users are provided with the ability to design and change golf courses themselves, then enjoyment and satisfaction will increase significantly, but such technology is not currently available
Solution Approach 1:
The golf course design system is segmented into distinct functional modules: a data acquisition module that collects terrain and environmental data, a course generation module that processes the data, and a difficulty adjustment module that modifies course parameters. This segmentation allows users to interact with specific modules without overwhelming complexity, enabling customization while maintaining system manageability.
Solution Approach 2:
The system performs preliminary actions by pre-establishing a database of terrain data, obstacle templates, and course configuration parameters before user interaction. When users initiate course design, the system has already prepared multiple pre-configured options and algorithms, reducing the computational complexity during actual user operation and enabling rapid course generation.
2Adaptability or versatility
If golf courses are automatically generated with varying difficulty levels based on multiple factors, then course diversity and player satisfaction improve, but calculation and design complexity increases
Solution Approach 1:
The system achieves difficulty variation by changing key parameters such as obstacle density, obstacle type distribution, fairway width, and green positioning rather than redesigning the entire course structure. The processor adjusts these parameters based on player skill level, allowing multiple difficulty levels from a single base course design, thereby reducing calculation complexity while maintaining course diversity.
Solution Approach 2:
Different sections of the golf course are assigned different quality characteristics based on difficulty requirements. For example, harder courses may feature more strategically placed hazards in specific zones, while easier courses maintain open fairways in those same zones. This local differentiation allows difficulty adjustment without requiring complete recalculation of the entire course, reducing overall computational complexity.
3Manufacturing precision
If multiple obstacle factors are included in the golf course design, then course realism and challenge improve, but design and rendering time increases
Solution Approach 1:
The system performs preliminary actions by pre-loading a database of obstacle templates, terrain models, and environmental features before course generation. When creating a new course, the system selects and instantiates these pre-prepared elements rather than generating them from scratch, significantly reducing design time while maintaining precision through the use of professionally designed template libraries.
Solution Approach 2:
The system uses copying by replicating proven obstacle designs and course layouts from existing templates and databases. Rather than designing each obstacle individually, the system copies and adapts pre-validated designs that already incorporate realistic dimensions and positioning, maintaining manufacturing precision while dramatically reducing design time through template reuse.
Data Source
AI summary
The present disclosure relates to a device for automatically generating a golf course and a method thereof, and according to the present disclosure, based on the source data, components of a first golf course including a tee box, a fairway, and a green can be designed, and a difficulty level of the first golf course to be designed can be calculated based on a distance from the tee box to the hole cup, the outline and path of the first golf course, and the number, area, and position of obstacle factors related to the difficulty level of the first golf course among the components can be determined based on the calculated difficulty level.