3D Interaction Modeling for Precise Indoor Object Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current positioning and tracking technologies in indoor environments, such as those using 5G, UWB, RTLS, LTE, and RFID, primarily provide two-dimensional mappings, which are insufficient for precise location information and navigation, especially in complex indoor settings.
Innovation Solution
A method for generating a three-dimensional interaction model for virtual or augmented reality devices using a 3D model of the environment and real-time location data of position-tracked objects, incorporating 3D scanning techniques like LIDAR and indoor localization methods like UWB or BLE, to create immersive and accurate indoor navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 2D maps or basic 3D CAD models are used for displaying tracked objects, then the system complexity is low and implementation is simple, but the mapping precision and information sufficiency for indoor environments is insufficient
Solution Approach 1:
The patent transitions from 2D map displays to 3D spatial models for tracking object positions. By adding the third dimension (depth/elevation) to the display system, the mapping precision is significantly improved while maintaining reasonable system complexity through the use of standardized 3D coordinate systems and spatial databases.
Solution Approach 2:
The patent creates virtual copies of physical environments and objects in a 3D digital space. By replicating the indoor environment's geometric structure and object positions in a virtual 3D model, the system achieves precise mapping without requiring direct physical measurement and display apparatus at every location.
2Productivity
If comprehensive 3D models with historical location data are generated, then the navigation accuracy and operational efficiency are improved, but the data processing time and computational resources increase
Solution Approach 1:
The patent pre-generates 3D spatial models and pre-processes historical location data during off-peak periods or during environment setup. By preparing the spatial database and organizing historical tracking data in advance, the system reduces real-time data processing requirements and improves operational efficiency during actual use.
Solution Approach 2:
The patent replaces heavy real-time computational processing with pre-computed spatial relationships and optimized data structures. By substituting complex real-time calculations with pre-established spatial indexes and efficient query mechanisms, the system minimizes data processing time while maintaining high productivity.
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
This approach provides a more precise and immersive way to visualize and navigate indoor environments, enhancing user experience by allowing real-time tracking and historical data visualization, facilitating faster object location and improved indoor navigation.
Implementation Method 1
The 3D scan is preferably based on a light detection and ranging, LIDAR, scan.
Implementation Method 2
the localization technique is based on Ultra Wide Band, UWB
Data Source
Figure 1
Figure 2a~2b
Figure 3
AI summary
The invention provides a method for generating a three-dimensional, 3D, interaction model for a virtual reality device or an augmented reality device based on a 3D model and realtime location data of a position-tracked object, the method comprising: obtaining a 3D model of an environment; obtaining at least one 3D model representing the position-tracked object and/or obtaining at least one 3D metamodel related to the 3D model of the object; receiving location data of the position-tracked object associated with the 3D model of the object; and generating a 3D interaction model for a virtual reality device or an augmented reality device based on the 3D model of the environment and the at least one 3D model of the object and/or the at least one 3D metamodel and the received location data.