Golf Shot Strategy Generation Using Probabilistic Course Grids
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Solution Overview
Problem
Existing golfing technologies lack effective methods for generating shot strategies that account for the unique topography, elevation, vegetation, and weather patterns of each golf course, leading to suboptimal shot selection and increased risk of encountering hazards.
Innovation Solution
A system utilizing a Golf Performance Prediction Grid (GPP Grid) to analyze geospatial data, golfer-specific data, and environmental factors to generate a preferred shot strategy, incorporating risk vectors and shot dispersion data to optimize the path to the pin cup, considering obstacles and short side areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a golfer aims directly at the pin cup location, then the shot path is simplified and easier to execute, but the golfer encounters more hazards and suboptimal landing locations
Solution Approach 1:
The system performs preliminary analysis of the golf course layout, hazards, and terrain before the golfer takes a shot. It pre-calculates optimal shot paths that avoid hazards while still reaching the pin cup, providing guidance before the shot is executed rather than reacting after hazards are encountered
Solution Approach 2:
The system introduces an intermediary computational layer between the golfer's intent (aiming at pin cup) and the actual shot execution. This intermediary analyzes multiple factors including hazards, terrain, and shot vectors to mediate the shot path selection, balancing directness with hazard avoidance
2Adaptability or versatility
If traditional shot strategy methods are used, then the system complexity is low, but the shot strategy accuracy and adaptability to course conditions is insufficient
Solution Approach 1:
The patent replaces traditional mechanical/manual shot strategy determination with a computational system that uses algorithms to analyze course data, hazards, and environmental factors. This substitution enables sophisticated adaptability to varying course conditions without requiring complex manual analysis by the golfer
Solution Approach 2:
The system dynamically adjusts shot strategy parameters based on changing conditions including course layout, hazards, terrain elevation, and environmental factors. By changing multiple parameters simultaneously and analyzing their interactions, the system achieves high adaptability while managing complexity through systematic parameter evaluation
3Productivity
If multi-shot strategies are not considered, then the shot selection process is simpler, but the overall stroke efficiency and hazard avoidance is reduced
Solution Approach 1:
The system performs preliminary multi-shot path analysis before the golfer takes any shots. It pre-calculates optimal sequences of shots considering multiple landing locations, subsequent hazards, and overall stroke efficiency, providing a comprehensive strategy before execution begins
Solution Approach 2:
The system maintains continuous analysis across multiple shots in a sequence, ensuring that each shot's landing location is optimized for the subsequent shot. This continuous optimization across the entire hole rather than isolated shots improves overall stroke efficiency while managing complexity through systematic sequential analysis
Data Source
AI summary
A golf shot strategy determination method can be implemented by computer program instructions executed by one or more hardware processors. In some embodiments, the method can include receiving a selected hole of a golf course for generating a shot strategy, receiving an initial ball location on the selected hole, receiving a probabilistic grid of the selected hole, and determining a preferred shot strategy based on the probabilistic grid, the initial ball location, and a pin cup location of the selected hole. The shot strategy can include one or more shots for a golfer to advance a golf ball from the initial ball location to the pin cup location.