Golf Green Path Planning Using 3D Terrain Scanning

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Solution Overview

Problem

Existing methods for putting on a golf green fail to accurately capture details such as slope, undulations, unevenness, and turf changes, which significantly impact the ball's rolling path, due to reliance on human observation or simple distance measurement devices.

Innovation Solution

A path planning method using a spatial multi-dimensional scanning device that includes structured light and visible light acquisition modules to generate a detailed spatial information map, combined with ranging modules for precise distance data, to construct a digital elevation model and simulate the ball's motion, calculating optimal batting paths and required putting strength.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If human observation or simple distance measurement devices are used, then the method is simple and easy to operate, but the measurement precision and detail capture of terrain features (slope, undulations, unevenness, turf changes) are insufficient

Engineering Contradiction:
Improveterrain feature measurement precisionVSAvoidmeasurement device complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces simple mechanical distance measurement devices with a spatial multi-dimensional scanning device that uses structured light projection and visible light imaging to capture terrain data. This substitution enables precise measurement of slope, undulations, unevenness, and turf changes by analyzing the deformation of projected light patterns and multi-angle imaging, thereby achieving high measurement precision while maintaining operational simplicity through automated processing.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent transitions from one-dimensional distance measurement to multi-dimensional spatial scanning by projecting structured light patterns and capturing images from multiple angles. This dimensional expansion allows simultaneous measurement of distance, slope, undulations, unevenness, and turf characteristics, comprehensively capturing terrain features that single-dimensional devices cannot detect.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If comprehensive terrain details (slope, undulations, unevenness, turf changes) are captured, then the path planning accuracy is improved, but the device complexity and data processing requirements increase

Engineering Contradiction:
Improvepath planning accuracyVSAvoidscanning device complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the terrain measurement task into multiple specialized functions: structured light projection for slope measurement, visible light imaging for undulation detection, and multi-angle photography for unevenness and turf change identification. Each module focuses on specific terrain features, allowing comprehensive data collection while managing device complexity through functional decomposition and specialized sensor arrays.

Inventive Principle:
Principle #1Segmentation

3Productivity

If automated path planning algorithm is used, then the productivity and path optimization are improved, but the computational time and processing complexity increase

Engineering Contradiction:
Improvepath planning efficiencyVSAvoidcomputational processing time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent performs preliminary actions by pre-processing terrain data during the scanning phase, organizing spatial information into structured formats that facilitate rapid algorithmic processing. The system pre-calculates potential path candidates and pre-processes elevation data, so that when the path planning algorithm executes, it operates on already-organized information, reducing computational time and improving overall productivity.

Inventive Principle:
Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Provides accurate and efficient path planning for putting, considering terrain complexities, enhancing golfer performance by reducing strokes and improving competition outcomes.

Implementation Method 1

a spatial multi-dimensional scanning device includes a structured light acquisition module and a visible light acquisition module; the scanning a planned green to obtain a spatial multi-dimensional information map of the green, includes: obtaining a structured light image of the green scanned and collected by the structured light acquisition module

Methodology Applied
Scientific EffectStructured light:

Implementation Method 2

obtaining a visible light image of the green scanned and collected by the visible light acquisition module

Methodology Applied
Scientific EffectVisible light reflection: Reflection

Implementation Method 3

the spatial multi-dimensional scanning device further includes a ranging module; the generating the spatial multi-dimensional information map according to the structured light image and the visible light image, includes: obtaining a distance information of the green scanned and collected by the ranging module

Methodology Applied
Scientific EffectRanging: Time of Flight

Data Source

PatentUS20260084010A1Path planning method for putting on the green and a device
Publication Date: 2026.03.26 SHENZHEN MILESEEY TECH
  • US20260084010A1 patent drawing
  • US20260084010A1 patent drawing
  • US20260084010A1 patent drawing

AI summary

This application provides a path planning method for putting on the green and a device. The method includes: scanning a planned green to obtain a spatial multi-dimensional information map of the green; analyzing the spatial multi-dimensional information map to obtain an elevation information of the green; performing a target detection on the spatial multi-dimensional information map to determine positions of a golf ball and a hole in the spatial multi-dimensional information map; and generating a batting path information according to the elevation information and positions of the golf ball and hole, to complete a path planning for the green according to the batting path information.