Mower Boundary Mapping Using Key Target Point Extraction
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Solution Overview
Problem
The existing methods for constructing a map for a mower, either by burying wires or using extensive position information, result in a complex and costly process with high hardware requirements, leading to increased manufacturing costs and workload.
Innovation Solution
A method that involves acquiring a preliminary map by collecting target points, selecting and connecting them to form initial and new connecting lines, and retaining points farthest from these lines as map construction target points, to construct a boundary map efficiently without burying wires, thereby reducing data processing workload and costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wires are buried at the boundary of the work region to construct a map, then the map construction is achieved, but the workload increases and the map construction process becomes complex
Solution Approach 1:
The patent extracts the essential boundary information from complex wire burial operations by using only key target points (first target points, second target points, and third target points) to define the boundary. The complex wire burial process is replaced by selecting and connecting discrete target points that represent the boundary, thereby simplifying the overall construction process while maintaining map accuracy.
Solution Approach 2:
The boundary construction is segmented into discrete target points rather than continuous wire burial. The boundary is divided into multiple connecting lines between target points, allowing the complex continuous boundary definition to be broken down into manageable discrete segments that are easier to construct and process.
2Reliability
If a map is constructed by collecting a lot of position information of the mower at the boundary, then the map is constructed, but good hardware facilities are required to process the data, resulting in high manufacturing costs
Solution Approach 1:
The patent extracts only the essential target points needed for boundary construction from the complete set of position information. Instead of processing all collected position data, the method selectively identifies and uses only the critical target points (first, second, and third target points) that define the boundary, thereby reducing data processing requirements and hardware facility needs while maintaining map construction accuracy.
Solution Approach 2:
The patent uses a partial approach by collecting more position information than strictly necessary during the mapping process, but then selectively using only the essential portions (key target points) for actual boundary construction. This allows comprehensive data collection for reliability while using only the necessary subset for processing, reducing the burden on hardware facilities.
Data Source
AI summary
A method for constructing a map for a mower includes: acquiring a preliminary map of a work region, two adjacent target points are used as first target points and are connected to form an initial connecting line; selecting a target point farthest from the initial connecting line as a second target point, and using a connecting line between the second target point and the first target points as to-be-processed connecting lines; selecting a third target point for each to-be-processed connecting line; when a condition is met, using connecting lines between the third target point and the target points at the two ends of the to-be-processed connecting line as new to-be-processed connecting lines and returning; retaining each of the third target points whose distance from a corresponding to-be-processed connecting line is greater than the first preset threshold as a map construction target point, and constructing a boundary map.