Space Recognition Method for Smart Moving Devices
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Solution Overview
Problem
Smart moving devices face inefficiencies due to high memory demands for storing environment maps and the generation of fragmented areas when using prescribed movement behaviors for space recognition, which affects their movement and work efficiency.
Innovation Solution
A space recognition method that uses sensor data to generate coordinates for obstacle positions, updates boundary line information until an optimization condition is met, and identifies the spatial range without building a large data map, allowing the device to move efficiently without relying on pre-built maps or fixed movement patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a map with huge data amount is built and stored in the smart moving device, then the environment information recognition is complete, but the memory demand becomes high
Solution Approach 1:
The patent extracts only the essential boundary line information from the complete environment map. Instead of storing and processing the entire map data, the system identifies and retains only the boundary lines that define the spatial range, significantly reducing memory requirements while preserving the necessary information for navigation and obstacle avoidance.
Solution Approach 2:
The patent creates a simplified copy of the environment representation. Rather than using the complete detailed map, it generates a boundary line representation that captures the essential spatial boundaries. This copied boundary information suffices for navigation purposes without requiring the full map data structure.
2Extent of automation
If prescribed and fixed movement behavior is used to recognize spatial range, then the device can move autonomously, but fragmented areas are generated reducing work efficiency
Solution Approach 1:
The patent replaces fixed, prescribed movement behaviors with dynamic boundary-following movement. The device dynamically adjusts its movement path by continuously tracking the boundary lines of the spatial range. This dynamic approach allows the device to adapt to the actual environment geometry, avoiding the fragmented area generation problem associated with rigid fixed-pattern movement while maintaining autonomous operation.
Solution Approach 2:
The system uses feedback from boundary line detection to continuously adjust movement behavior. By detecting boundary lines in real-time and using this information to guide movement, the device can maintain continuous contact with environmental boundaries, ensuring complete spatial range coverage without creating fragmented unrecognized areas.
Data Source
AI summary
The embodiments of the disclosure provide a space recognition method, an electronic device and a non-transitory computer-readable storage medium. The method includes the following steps. Sensor data for detecting obstacle positions is obtained from a sensor associated with an electronic device. A plurality of coordinates respectively corresponding to the obstacle positions are generated based on the sensor data. Boundary line information of a space surrounding the electronic device is updated according to the coordinates until an optimization condition is met for each boundary line. A spatial range of the space surrounding the electronic device is identified based on the boundary line information. The spatial range is used to guide a movement of the electronic device.