Electronic Apparatus Combining Horizontal and Vertical Surface Mapping
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Solution Overview
Problem
Existing methods for creating maps of spaces using movable apparatuses, such as projectors and robot cleaners, face challenges with long processing times and reduced precision when the apparatus analyzes the space itself or require user input, leading to user inconvenience.
Innovation Solution
An electronic apparatus that collects data by dividing the space into horizontal and vertical surfaces using sensors, including LiDAR, ToF, and gyro sensors, to generate a map by combining first and second surface data, improving precision and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the apparatus itself analyzes the space to generate a map, then the map can be obtained without user input, but the processing time becomes long and precision deteriorates
Solution Approach 1:
The patent divides the space analysis into two distinct phases: first collecting horizontal surface data (floor, ceiling, walls) to establish basic spatial boundaries, then collecting vertical surface data (walls, objects) to add depth and detail. This segmentation allows the system to process space information in manageable chunks rather than attempting complete analysis simultaneously, reducing overall processing time while maintaining precision.
Solution Approach 2:
The patent performs preliminary space analysis by first capturing horizontal surface data to establish the basic spatial framework before proceeding to more detailed vertical surface analysis. This preliminary action of establishing boundaries first allows subsequent processing to be more efficient and targeted, reducing total processing time while maintaining map precision.
2Ease of operation
If the apparatus itself analyzes the space to generate a map, then the map can be obtained without user input, but the precision deteriorates
Solution Approach 1:
The patent segments the mapping process into horizontal surface analysis (first surface data) and vertical surface analysis (second surface data). By separating these analysis dimensions, the system can apply specialized processing to each type of surface data, improving overall map precision while maintaining autonomous operation without user input.
Solution Approach 2:
The patent transitions from two-dimensional horizontal surface mapping to three-dimensional space mapping by incorporating vertical surface data. This dimensional expansion allows the system to capture spatial information more comprehensively, improving map precision through additional spatial dimensions rather than relying on user-provided corrections.
3Device complexity
If traditional single-surface mapping is used, then the processing is simpler, but the map completeness and accuracy are reduced
Solution Approach 1:
The patent divides the mapping process into distinct segments: horizontal surface mapping (first surface data) and vertical surface mapping (second surface data). This segmentation manages complexity by treating different surface types separately with specialized processing, while the combined result achieves superior map accuracy and completeness compared to single-surface approaches.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enables rapid and precise map generation by separately collecting and combining horizontal and vertical surface data, reducing processing time and user inconvenience while enhancing map accuracy.
Implementation Method 1
The at least one sensor may include: a first distance sensor, and an acceleration sensor, the first sensor data may include first distance data obtained through the first distance sensor
Implementation Method 2
The first distance sensor may be a Light Detection and Ranging (LiDAR) sensor, the second distance sensor may be a Time of Flight (ToF) sensor
Implementation Method 3
The at least one sensor further may include a tilt sensor, the second sensor data further may include tilt data obtained through the tilt sensor, and the instructions, when executed by the at least one processor, may cause the electronic apparatus to: obtain, based on the tilt data, a first tilt angle in a roll direction, a second tilt angle in a pitch direction, and a third tilt angle in a yaw direction
Data Source
AI summary
An electronic apparatus includes memory; at least one sensor; at least one processor operatively connected with the memory and the at least one sensor, and configured to execute instructions, wherein the instructions, when executed by the at least one processor, cause the electronic apparatus to: based on receiving a request for a map corresponding to a target space, obtain first surface data for a first surface corresponding to a driving direction of the electronic apparatus based on first sensor data obtained through the at least one sensor in first driving for the target space, obtain second surface data for a second surface different from the first surface based on second sensor data obtained through the at least one sensor in second driving for the target space, and obtain the map based on the first surface data and the second surface data.