Position Recognizing Device False Image Exclusion
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Solution Overview
Problem
Existing position recognizing devices inaccurately identify tall vehicles as false images when they are positioned behind other objects, leading to erroneous detection points.
Innovation Solution
A position recognizing device that includes a ranging point acquiring section, a region determining section, and a ranging point excluding section, which acquires and processes ranging point information to distinguish between actual objects and false images by determining the proximity of ranging points and excluding false image points from the data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the existing position recognizing device uses a simple false image determination method based on distance comparison, then the device complexity is low, but the measurement precision deteriorates because tall vehicles behind objects are erroneously identified as false images
Solution Approach 1:
The patent transitions from one-dimensional distance comparison to three-dimensional spatial analysis by constructing object regions using ranging points in multiple directions. This dimensional expansion enables accurate differentiation between actual tall vehicles and false images by analyzing the spatial distribution and connectivity of ranging points, thereby resolving the measurement precision issue without excessive complexity increase.
Solution Approach 2:
The patent segments the detection space into multiple directional beams and divides ranging points into groups based on their spatial relationships. By processing each directional beam separately and analyzing the connectivity of ranging points within constructed object regions, the system achieves precise false image identification while maintaining manageable computational complexity through structured segmentation.
2Measurement precision
If the device excludes more ranging points as false images to improve detection accuracy, then the measurement precision improves, but the loss of information increases because actual objects may be incorrectly excluded
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously evaluates the spatial distribution of ranging points, constructs object regions, determines false image points, and excludes them iteratively. This feedback loop allows the system to refine its detection accuracy by using the spatial relationships of remaining ranging points to inform subsequent false image identification, minimizing information loss while improving precision.
Solution Approach 2:
The patent dynamically adjusts detection parameters based on the spatial distribution of ranging points. By changing the criteria for false image identification from fixed distance thresholds to adaptive spatial relationship analysis, the system optimizes the balance between detection accuracy and information retention, excluding only genuine false images while preserving valid object data.
3Measurement precision
If the device uses complex spatial analysis to accurately distinguish false images from real objects, then the measurement precision improves, but the calculation amount increases
Solution Approach 1:
The patent divides the complex spatial analysis into manageable segments by processing each directional beam separately and constructing object regions incrementally. This segmentation approach reduces the computational burden by breaking down the overall calculation into smaller, independent tasks that can be processed efficiently, maintaining high measurement precision while controlling calculation complexity.
Solution Approach 2:
The patent applies partial action by focusing computational resources on identifying and excluding only the false image points rather than reprocessing all ranging points. By performing excessive action in the initial spatial analysis phase to accurately identify false images, subsequent processing can proceed more quickly with reduced data sets, balancing precision requirements with processing efficiency.
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 device accurately recognizes whether an object is a false image by defining and excluding false image points, thereby improving detection accuracy and reducing errors caused by reflections or other positional misinterpretations.
Implementation Method 1
an electromagnetic wave transmitting section 14 that transmits an electromagnetic wave 2 toward an object 50
Implementation Method 2
a reflected wave receiving section 15 that receives the electromagnetic wave 2 reflected by the object 50
Data Source
AI summary
A position recognizing device according to one embodiments of the present disclosure includes a ranging point acquiring section, a region determining section, and a ranging point excluding section. The ranging point acquiring section is configured to acquire ranging point information in which distances to ranging points are associated with each of electromagnetic wave applying directions. The region determining section is configured to determine whether an object region that represents a region encompassed by joining ranging points that are in close proximity to one another exists at a position closer than a specific ranging point representing a certain ranging point among the ranging points. The ranging point excluding section is configured to define the ranging point in front of which the object region exists as a false image point at which no object actually exists and exclude the false image point from the ranging point information.