Dynamic Ledge Detection in Virtual Game Maps
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Solution Overview
Problem
Existing gaming systems struggle with dynamic detection and marking of ledges within game maps, especially when user-generated content is involved, leading to errors and reduced customization of avatar abilities.
Innovation Solution
A method and system for dynamically detecting and marking ledges within a game map by identifying obstacles, determining the normal facing of these obstacles relative to the avatar's travel vector, and generating anchor points at the lip of recessions that meet specific geometric criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If user-generated content is allowed in game maps, then content variety and player engagement are improved, but error reduction and content quality control deteriorate
Solution Approach 1:
The system enables user-generated content to automatically detect and mark its own ledges through algorithmic analysis of map geometry. The ledge detection system processes user-created maps autonomously, identifying ledges based on geometric properties without requiring manual verification or markup, thus maintaining quality control while preserving content variety
Solution Approach 2:
The patent replaces manual ledge marking (mechanical/systematic approach) with automated computer vision algorithms that detect ledges through image processing and geometric analysis. This substitution eliminates the need for creators to manually vet their content while maintaining consistent ledge identification across user-generated maps
2Measurement precision
If explicit markup is required for ledges, then ledge detection accuracy is improved, but device complexity and content creation difficulty worsen
Solution Approach 1:
The system replaces manual ledge markup with automated computer vision algorithms that analyze map geometry to detect ledges. The algorithm processes map images or 3D models to identify ledge characteristics such as height, depth, and accessibility, achieving accurate ledge detection without requiring creators to add explicit markup tags or annotations
Solution Approach 2:
The map creation system automatically performs ledge detection and marking as part of the content creation pipeline. When a user creates or imports a map, the system autonomously analyzes the geometry, identifies ledges based on predefined criteria, and generates appropriate game logic without requiring additional manual configuration or markup by the content creator
Data Source
AI summary
Described herein are techniques for performing dynamic ledge detection on obstacles within a virtual space. Such techniques may comprise identifying at least one obstacle positioned in proximity to an avatar within a virtual space, identifying at least one facing on the obstacle that is substantially normal to a vector of travel associated with the avatar, identifying, on the at least one facing, a recession that comprises a lip and a receded area above the lip, determining, based at least in part on one or more properties of the receded area, that the recession is a ledge, and generating, at the lip, an anchor point configured to enable one or more interactions between the avatar and the recession.