Personalized Spatial Map Alignment for Real-World Layout Updates
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Solution Overview
Problem
Existing spatial maps do not accurately reflect the user's real-world space due to differences in spatial information based on when they are generated, lacking detailed personalization and updates.
Innovation Solution
A method and server for generating a personalized spatial map by aligning and updating spatial maps using sensor data to identify and incorporate changes in the user's space, including map features and spatial information, and projecting maps to match dimensions, while removing noise and inaccuracies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a public spatial map is used to represent user space, then broad spatial coverage is achieved, but detailed personalization and real-world accuracy deteriorate
Solution Approach 1:
The patent segments the spatial map into multiple layers: a base public spatial map providing general coverage and overlay layers containing personalized spatial information from sensor data. This segmentation allows the system to maintain broad coverage while adding detailed personalization without compromising either aspect.
Solution Approach 2:
The patent merges public spatial map data with private sensor-generated spatial data to create a hybrid personalized spatial map. The alignment process combines these different data sources, integrating general spatial information with detailed personal measurements to achieve both coverage and accuracy.
2Duration of action of stationary object
If spatial maps are generated at different times, then temporal coverage is improved, but spatial information consistency deteriorates
Solution Approach 1:
The patent performs preliminary alignment of multiple spatial maps generated at different times by identifying common features and establishing coordinate transformations. This preliminary processing ensures that temporal variations in spatial information are normalized, maintaining consistency across different time points.
Solution Approach 2:
The system uses feedback mechanisms to compare spatial maps generated at different times, identifying changes and inconsistencies. This feedback loop allows the system to adjust and reconcile temporal variations, maintaining spatial information consistency across the temporal dimension.
3Manufacturing precision
If map alignment is performed using all map features, then alignment completeness is improved, but computational complexity and noise sensitivity worsen
Solution Approach 1:
The patent extracts and selects specific key features from the full set of map features for alignment purposes. By identifying and using only the most relevant features (such as prominent landmarks or stable spatial elements), the system achieves precise alignment while reducing computational complexity and minimizing the impact of noisy or irrelevant features.
Data Source
AI summary
Provided is a method, performed by a server, of providing a personalized spatial map, the method comprising: obtaining a first spatial map including first map features representing spatial information about a space; obtaining a second spatial map based on sensor data obtained by measuring the space, the second spatial map including second map features; identifying third map features for map alignment from among the first map features and the second map features; aligning the first spatial map and the second spatial map, based on the identified third map features; identifying local areas in the space where at least one difference exists between the first spatial map and the second spatial map; and generating the personalized spatial map by identifying pieces of spatial information about the local areas based on the second map features.