Replicated Geographic Data Display Using Hierarchical Node Tree
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Solution Overview
Problem
Geographic Information Systems (GIS) face challenges in efficiently displaying replicated geographic data in three-dimensional environments, leading to slow scene resolution times and reduced usability due to the need to render numerous identical or similar objects, such as trees, across different locations.
Innovation Solution
The method involves using a node tree data structure to identify and display replicated objects by referencing a collection of models, determining levels of detail based on distance and density, and distributing instances across the node tree to optimize rendering, allowing for faster and more efficient display of replicated objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the client device renders numerous replicated objects (such as trees) individually at their specific locations, then the geographic information environment accurately represents the scene, but the scene resolution time increases significantly
Solution Approach 1:
The patent applies copying by creating a master model of a replicated object (e.g., a tree) and generating instance references that point to this master model. Instead of storing and rendering complete copies of the object at each location, the system stores one master model and multiple instance references that tell the rendering system where to place copies. This dramatically reduces memory usage and scene resolution time while maintaining visual accuracy, as the rendering engine can efficiently instantiate and position multiple copies from the single master model definition.
Solution Approach 2:
The patent merges the storage and management of replicated objects by consolidating their geometric data into a single master model definition within the node tree structure. Multiple instances of the same object type share this common definition, and the system manages them collectively through instance sets and collection references rather than individually. This merging approach reduces data redundancy and enables efficient batch processing during scene resolution.
2Measurement precision
If the client device displays high-resolution models of replicated objects, then the visual quality improves, but the rendering performance decreases due to increased computational load
Solution Approach 1:
The patent implements dynamic level-of-detail (LOD) selection where the resolution of replicated objects is adjusted based on their distance from the camera and the overall scene density. When objects are far away or the scene is dense with many instances, the system automatically selects lower-resolution models to maintain rendering performance. When objects are close and the scene is less dense, higher-resolution models are used to maintain visual quality. This dynamic adaptation allows the system to optimize the balance between visual fidelity and rendering speed in real-time.
3Measurement precision
If the system stores complete geometric data for each replicated object instance, then the rendering accuracy is maintained, but the memory consumption and data transmission increase
Solution Approach 1:
The patent uses copying by establishing a master-model-instance reference architecture where one master model definition serves multiple instance locations. The instance data structures contain only minimal information (transformation matrices, material overrides, scale factors) rather than complete geometric data. This copying approach reduces data volume from storing thousands of complete object definitions to storing one master model plus lightweight instance references, while the rendering engine reconstructs the visual scene by instantiating copies from the master model according to instance specifications.
4Measurement precision
If the system renders all instances at the highest level of detail, then the perceptual quality is maximized, but the frame rate decreases due to processing constraints
Solution Approach 1:
The patent employs dynamic level-of-detail adjustment that responds to scene conditions and performance metrics. The system continuously evaluates factors such as camera distance, scene density, and current frame timing to dynamically select appropriate LOD levels for different instances. This dynamic approach allows the system to maintain high perceptual quality for instances that contribute most to the visual experience while using lower LOD for instances that have minimal visual impact, thereby achieving higher frame rates without significantly compromising overall scene quality.
Solution Approach 2:
The patent applies local quality by allowing different level-of-detail settings for different instances based on their specific context within the scene. Rather than uniformly applying a single LOD level to all replicated objects, the system evaluates each instance's importance and visual contribution individually. Instances that are closer to the camera, more centrally located, or visually distinctive receive higher LOD, while distant or less important instances use lower LOD. This localized quality assignment optimizes the balance between perceptual quality and frame rate by concentrating rendering resources where they provide the most visual benefit.
Data Source
AI summary
An exemplary method for displaying replicated geographic data in a three-dimensional environment includes identifying a first node in a node tree including an instance set. The exemplary method also includes identifying a collection referenced by the instance set. The exemplary method further includes identifying a second node in the node tree including the collection referenced by the instance set, a depth of the first node in the node tree being greater than a depth of the second node in the node tree. The exemplary method also includes identifying a model in the collection, the model being referenced by the instance set and the instance set including location data for replicated instances in the instance set. The exemplary method further includes displaying the first node, where displaying the first node includes displaying model data in the collection at the locations specified by the instance set.


