Object Registration Using Inertial Imaging Outside Field Limits
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Solution Overview
Problem
Existing non-tactile registration methods for position detection systems, such as those using image sensor units, are limited by the need for a position sensor to be within the working space of the electromagnetic field, leading to accuracy issues and spatial limitations when determining the position and orientation of objects.
Innovation Solution
A registration method that utilizes a motion sensor, such as inertial sensors, to determine the capturing position and orientation of an image sensor unit independently of the position detection system, allowing for accurate transformation of a surface model into the system's coordinate system, even outside the electromagnetic field's working space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a position sensor is used to determine the capturing position within the electromagnetic field's working space, then the position can be detected by the position detection system, but the spatial range is limited and accuracy deteriorates at the boundaries of the working space
Solution Approach 1:
The patent introduces motion sensors (accelerometers, gyroscopes) as intermediary devices to detect the capturing position. These motion sensors serve as a mediator between the image sensor unit and the position detection system, enabling position determination outside the electromagnetic field's working space while maintaining accuracy through sensor fusion algorithms that combine data from multiple sources.
Solution Approach 2:
The patent replaces the electromagnetic field-based position detection system with an inertial measurement system using motion sensors. This substitution allows the image sensor unit to determine its position independently of the electromagnetic field boundaries, expanding the spatial range from the limited working space to an unlimited environment while maintaining detection accuracy through mathematical modeling and calibration.
2Reliability
If the image sensor unit is positioned outside the working space to capture optimal images, then imaging quality improves, but the position cannot be accurately determined by the position detection system
Solution Approach 1:
The patent makes the image sensor unit multi-functional by equipping it with both imaging capabilities and independent position determination capabilities through integrated motion sensors. This universal design allows the device to simultaneously achieve high-quality imaging outside the working space and accurate position determination through the motion sensors, eliminating the trade-off between imaging quality and position detection accuracy.
Solution Approach 2:
The image sensor unit performs self-positioning using its integrated motion sensors, eliminating dependence on the external position detection system. The motion sensors autonomously track the device's movement and calculate the capturing position, enabling the system to maintain position determination accuracy even when positioned outside the electromagnetic field's working space for optimal imaging.
3Adaptability or versatility
If motion sensors are used to determine capturing position independently, then spatial constraints are removed and flexibility improves, but device complexity increases
Solution Approach 1:
The patent merges the motion sensors with the existing image sensor unit to form an integrated capturing device. By combining the imaging function and position determination function into a single unified device, the patent reduces overall system complexity compared to having separate independent systems. The integrated design allows shared processing resources and streamlined data flow while achieving enhanced spatial flexibility.
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
Enables precise and efficient registration of objects relative to position detection systems without spatial constraints, allowing image capture at optimal positions outside the system's working space, enhancing accuracy and flexibility.
Implementation Method 1
at least one motion sensor for detecting a linear acceleration and/or rotational rate
Implementation Method 2
photogrammetrically generating a surface model of the object from at least one captured image
Implementation Method 3
a field generator for generating an alternating electromagnetic field
Data Source
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AI summary
The invention relates to a registration method for determining position and orientation of an object in relation to a position detection system, wherein the method comprises the steps of - capturing an image of a surface of an object with an image sensor unit comprising at least one motion sensor and/or at least one position sensor, - determining a capturing position of the image sensor unit in a coordinate system of the position detection system by processing motion sensor signals provided by said motion sensor and/or position signals provided by said position sensor, - photogrammetrically generating a surface model of the object from the captured image, and - transforming the photogrammetrically generated surface model into the coordinate system of a position detection system.