Axial Misalignment Determination for Search Wave Sensors
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Solution Overview
Problem
Existing technologies cannot determine axial misalignment of a search wave sensor when no object is present in the overlap region of overlapping detection regions of multiple search wave sensors.
Innovation Solution
An object-detecting device comprising a first detector, an object tracker, a second detector, and an axial misalignment determiner, which uses detection information from multiple sensors with different detection regions to determine axial misalignment based on object distance and orientation, allowing for misalignment determination even without overlap between detection regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple search wave sensors with overlapping detection regions are used to determine axial misalignment, then misalignment can be detected when objects are present in overlap regions, but misalignment determination fails when no object is present in the overlap region
Solution Approach 1:
The patent transitions from using only spatial overlap region information to incorporating temporal dimension by tracking object movement across different detection regions over time. The object tracker follows objects as they move through multiple sensors' detection regions, enabling misalignment determination even when objects are not initially in overlap regions.
Solution Approach 2:
The patent introduces an intermediary calculation method that uses the relationship between detection information from multiple sensors and tracked object movement to infer axial misalignment. Instead of directly measuring misalignment from overlap regions, the system uses object position changes across sensors as an intermediary to determine misalignment.
2Measurement precision
If detection regions of multiple search wave sensors are made to overlap to enable misalignment determination, then misalignment can be detected, but the device complexity and detection region coverage requirements increase
Solution Approach 1:
The patent adds the temporal dimension to the detection process by tracking objects over time as they move through detection regions. This allows the system to determine axial misalignment without requiring spatial overlap between detection regions, thereby reducing device complexity and installation requirements.
Solution Approach 2:
The system creates a virtual model of object movement and position through the object tracker, which replicates the object's trajectory across multiple sensors. This virtual tracking model enables misalignment determination without requiring physical overlap of detection regions, simplifying the overall system configuration.
Data Source
AI summary
An object-detecting device includes a first detector, an object tracker, a second detector, and an axial misalignment determiner. The first detector detects a distance between a moving body and an object and an orientation of the object relative to the moving body based on detection information acquired from detection sensors including a search wave sensor that searches a detection region with a search wave. The object tracker tracks the same object passing through a different detection region based on the detection information. The second detector detects at least either one of a height of the object or a lateral distance of the object as object information based on the detection information. The axial misalignment determiner determines whether axial misalignment has occurred in the search wave sensor based on the distance and the orientation of the object detected by the first detector based on the detection information from the search wave sensor and the object information detected in a different detection region by the second detector.