Electronic device and control method therefor
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic devices face challenges in accurately recognizing their location when the environment changes or when the location is re-recognized in large spaces, leading to low accuracy and prolonged recognition times.
Innovation Solution
An electronic device that utilizes both location and image data to improve location recognition, by acquiring first sensing data for location and second sensing data for images, combining these to generate mapping information, and deleting duplicate data based on preset conditions to enhance processing speed and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the electronic device uses only location data for navigation, then the device complexity is low, but the location recognition accuracy deteriorates in changed or similar environments
Solution Approach 1:
The patent combines location data and image data into integrated mapping information. The processor acquires both first sensing data (location) and second sensing data (images), then combines them to create comprehensive mapping information that improves location recognition accuracy by cross-referencing multiple data types rather than relying on location data alone.
Solution Approach 2:
The patent extracts and deletes duplicate data from the mapping information based on preset conditions. By identifying and removing redundant location or image data, the system reduces data processing complexity while maintaining the essential information needed for accurate location recognition.
2Productivity
If the electronic device stores all mapping information without deletion, then the measurement precision is maintained, but the processing speed deteriorates due to large data volume
Solution Approach 1:
The processor deletes duplicate data from the mapping information based on preset conditions, extracting only the essential non-redundant information. This reduces the total data volume and improves processing speed while maintaining location recognition accuracy by preserving unique and relevant mapping features.
Solution Approach 2:
The system changes the state of mapping information by selectively deleting data based on preset conditions. This parameter change in data volume and composition optimizes the balance between processing speed and measurement precision, allowing faster processing without sacrificing recognition accuracy.
3Area of stationary object
If the electronic device re-recognizes location in large spaces, then the coverage area increases, but the recognition time deteriorates
Solution Approach 1:
The processor deletes duplicate data from mapping information in large spaces, extracting only essential non-redundant features. This reduces the time required to process and search through mapping data when re-recognizing location across large areas, thereby decreasing recognition time while maintaining comprehensive space coverage.
Solution Approach 2:
The system combines location data and image data into integrated mapping information that enables more efficient location recognition. By merging multiple data types, the system can quickly identify position in large spaces without requiring exhaustive processing of all available data.
4Measurement precision
If the electronic device processes both location and image data, then the location recognition accuracy improves, but the use of energy deteriorates
Solution Approach 1:
The processor deletes duplicate data from the combined mapping information, extracting only essential non-redundant data. This reduces the total amount of data that needs to be continuously processed, thereby lowering energy consumption while maintaining the accuracy benefits of using both location and image data.
Data Source
AI summary
A electronic device comprising a sensor unit, a memory, and at least one processor that: obtains, by the sensor unit, first sensing data including an image captured at the location; obtains map information on the basis of the first sensing data; combines the first sensing data and the second sensing data to obtain first mapping information and stores same in the memory; obtains second mapping information by removing data corresponding to a pre-configured condition corresponding from the stored first mapping information; identifies spatial information including feature data corresponding to a space included in the map information on the basis of the second mapping information; and controls traveling of the electronic device on the basis of the map information and the spatial information.