Map Update Method Using Local and Global Map Segmentation
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Solution Overview
Problem
Existing map share applications struggle to quickly reflect changes in the position of physical objects in real space on maps and share this information among users, especially in private spaces without detailed provider maps.
Innovation Solution
An information processing device with a global map acquiring unit, a local map generating unit, and an updating unit that acquires and updates a global map based on position data from a local map, allowing for coordinate conversion and synchronization of map data across users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a service provider updates the map, then the map accuracy is improved, but the update speed is slow and cannot reflect real-time changes
Solution Approach 1:
The patent divides the map into a global map (maintained by service provider) and local maps (generated by users). Each user generates local maps representing their surroundings using device cameras and sensors, enabling real-time updates without waiting for service provider intervention. This segmentation allows simultaneous improvement of both map accuracy through user-generated updates and update speed through decentralized generation.
Solution Approach 2:
Users autonomously generate and update local maps using their own devices' cameras and sensors without requiring service provider intervention. The system enables users to self-update map information based on their real-time observations, dramatically improving update speed while maintaining accuracy through crowd-sourced data collection.
2Measurement precision
If detailed maps are provided by service provider, then the map detail is improved, but the coverage area is limited to public spaces
Solution Approach 1:
The patent segments map coverage into global maps (provider-maintained for public spaces) and local maps (user-generated for private spaces). Users generate detailed local maps of their private environments using device cameras, extending detailed mapping coverage to previously inaccessible private spaces while the service provider maintains overall global map structure.
Solution Approach 2:
The system enables any user with a mobile device to function as a map generation tool, not just the service provider. Users can generate detailed maps of their private spaces using standard device cameras, making the mapping capability universal and applicable to both public and private environments without requiring specialized infrastructure.
3Reliability
If users manually update map information, then the map can reflect changes, but the update process is time-consuming and inefficient
Solution Approach 1:
The system automatically generates local maps in real-time as users move through environments, using device cameras and sensors to continuously update map data without manual intervention. This automated self-service approach eliminates time-consuming manual updates while maintaining high reliability through continuous, passive data collection during normal user activity.
Solution Approach 2:
The map generation process continues continuously in the background as users navigate spaces, constantly updating local maps without requiring discrete manual actions. This continuous operation ensures maps are always current with minimal time loss, as updates occur automatically during normal user movement and observation.
4Adaptability or versatility
If the system processes and shares map data among users, then the information sharing capability is improved, but the system complexity increases
Solution Approach 1:
The patent segments the map data management into simple local map generation (handled by individual user devices) and global map coordination (handled by the service provider). This segmentation keeps individual device complexity low while enabling sophisticated information sharing through the standardized exchange of local map data with the global map system.
Solution Approach 2:
The service provider's global map system acts as an intermediary that standardizes and facilitates sharing between users. Local maps generated by users are uploaded to and processed by the global map system, which then distributes updated information to other users. This intermediary layer simplifies the sharing process despite the inherent complexity of coordinating multiple users' data.
Data Source
AI summary
There is provided an information processing device including: a global map acquiring unit that acquires at least a part of a global map representing positions of objects in a real space where a plurality of users arc in activity; a local map generating unit that generates a local map representing positions of nearby objects detectable by a device of one user among the plurality of users; and an updating unit that updates the global map based on position data of objects included in the local map.