Navigation Device with Range-Switched Depth Algorithms
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing distance measurement devices struggle to achieve high accuracy and resolution in both close and far distance ranges, leading to inaccuracies and data overflow in optical cleaning robots.
Innovation Solution
Employing two different algorithms for distance calculation: a first algorithm for close distances and a second algorithm for far distances, using gravity centers and reciprocal/deep relationships to enhance accuracy and resolution across the entire detection range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single distance measurement algorithm is used, then the device complexity is low, but the measurement precision cannot be maintained across both close and far distance ranges
Solution Approach 1:
The detection range is divided into two segments: a first distance range (closer distances) and a second distance range (farther distances). Different algorithms are applied to different segments - a first algorithm for the first distance range and a second algorithm for the second distance range. This segmentation allows each algorithm to be optimized for its specific range, achieving high measurement precision across the entire detection range while managing algorithm complexity through targeted application.
2Measurement precision
If a first algorithm based on reciprocal of depths is used for close distances, then the distance accuracy is high in the closer range, but data overflow occurs in the farther distance range
Solution Approach 1:
The patent changes the calculation parameters based on the distance range. For the first distance range, a first algorithm using reciprocal of depths is employed, which provides high accuracy for closer objects. For the second distance range, a second algorithm with different parameters is used that prevents data overflow for farther objects. This parameter adaptation ensures both high precision and reliability across the full detection range.
3Measurement precision
If a second algorithm based on depths is used for far distances, then the distance accuracy is high in the farther range, but the resolution decreases in the closer distance range
Solution Approach 1:
Different algorithmic qualities are applied to different spatial locations in the detection range. The first algorithm with higher resolution characteristics is used for the first distance range (closer distances), while the second algorithm with higher accuracy characteristics is used for the second distance range (farther distances). This local optimization ensures that each region of the detection range receives the appropriate algorithmic treatment for its specific requirements.
Data Source
AI summary
There is provided an optical distance measurement device including a processor embedded with a first algorithm and a second algorithm. The first algorithm is used to calculate an object depth when an obstacle is distanced from the distance measurement device smaller than a predetermined distance. The second algorithm is used to calculate an object depth when the obstacle is distanced from the distance measurement device larger than the predetermined distance.