Wearable Device Localization Through Target Map Area Segmentation
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Solution Overview
Problem
Existing head-mounted devices in VR, AR, and MR environments face challenges in object detection and localization due to complex operating environments, and existing solutions that restrict devices to specific areas are inconvenient.
Innovation Solution
A wearable device with an environment information collector and processor that determines a target map area based on collected environment information, using methods like SLAM and image recognition to accurately locate the device within a generated map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the head-mounted device performs object detection to recognize complex operating environments, then the localization accuracy is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent divides the complete map into multiple sub-regions and processes only the current target sub-region for localization. This segmentation approach reduces the computational scope from the entire environment to a localized area, thereby maintaining localization accuracy while significantly reducing processing time and computational resource consumption.
Solution Approach 2:
Instead of processing the entire map data, the system performs partial action by focusing computational resources only on the current target sub-region where the device is located. This partial processing approach achieves sufficient localization accuracy without the excessive computational burden of processing complete environment data.
2Measurement precision
If the system processes complete environment data for localization, then the localization accuracy is improved, but the processing resource usage increases
Solution Approach 1:
The patent segments the complete environment map into multiple sub-regions and processes only the relevant current sub-region. This segmentation reduces the data volume requiring processing while maintaining localization accuracy, thereby reducing energy consumption and processing resource usage in the head-mounted device.
Solution Approach 2:
The system applies local quality by focusing processing resources on the local target sub-region rather than uniformly processing the entire map. This localized processing approach maintains high localization accuracy in the current area while minimizing overall processing resource consumption.
3Ease of operation
If the head-mounted device operates in complex environments without area restrictions, then the ease of operation is improved, but the object detection reliability decreases
Solution Approach 1:
The patent segments complex operating environments into multiple manageable sub-regions, each processed independently for object detection and localization. This segmentation allows the device to operate freely across diverse environments while maintaining detection reliability by focusing computational resources on localized areas where detection accuracy can be preserved.
Data Source
AI summary
The present disclosure provides localization method and wearable device. The localization method is applicable to the wearable device, and includes: obtaining an environment information related to an environment where the wearable device is; determining a target map area in a map of the environment according to the environment information; and locating the wearable device in the map of the environment according to the target map area.