3D Model-Guided Mobile Object Posture Estimation
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Solution Overview
Problem
Existing technologies struggle to accurately estimate the posture of a mobile object in a three-dimensional space, particularly when the surface is non-two-dimensional, such as an inclined surface or low-lying depression, and require complex processes involving 9-axis sensors to account for Earth's axis and site coordinate systems.
Innovation Solution
The use of a three-dimensional model to specify measurement point candidates for posture estimation, incorporating a three-dimensional model acquisition and specifying sections to identify necessary measurement points, which can be used with external measurement apparatuses to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a 6-axis sensor is used to detect posture parameters, then the device complexity is reduced, but the measurement precision of yaw angle deteriorates
Solution Approach 1:
The patent combines multiple measurement approaches (6-axis sensor data, 3D model information, and image processing) into a unified posture estimation system. By merging these different data sources, the system achieves accurate yaw angle measurement without relying solely on a complex 9-axis sensor configuration.
Solution Approach 2:
The patent introduces a 3D model of the mobile object as an intermediary element. This 3D model serves as a mediator that bridges the gap between simple sensor measurements and accurate posture estimation, enabling the system to derive yaw angle information that would otherwise require more complex sensors.
2Measurement precision
If a 9-axis sensor is used to measure posture parameters, then the measurement precision of yaw angle is improved, but the device complexity increases
Solution Approach 1:
The system merges data from simpler 6-axis sensors with information from 3D models and image processing algorithms to achieve the same measurement precision that would otherwise require a 9-axis sensor. This combination approach avoids the complexity of implementing a 9-axis sensor system.
Solution Approach 2:
The patent uses a 3D model (a digital copy or representation) of the mobile object to supplement sensor measurements. This 3D model copy provides additional geometric information that compensates for the limitations of simpler sensors, enabling accurate posture estimation without requiring more complex physical sensors.
3Measurement precision
If coordinate system transformation involving Earth's axis is performed, then the measurement precision in three-dimensional space is improved, but the ease of operation deteriorates
Solution Approach 1:
The system performs coordinate system transformations automatically using the 3D model and processed measurement data, without requiring manual intervention or complex user operations. The transformation process serves itself by utilizing the already-acquired 3D model information, eliminating the need for users to manually account for Earth's axis and site coordinate systems.
Solution Approach 2:
The patent performs coordinate system transformations as part of the automated processing pipeline, using the 3D model that has already been acquired and processed. By preparing the coordinate transformation data in advance through automated processing, the system eliminates the need for users to manually perform complex coordinate transformations during operation.
Data Source
AI summary
In order to attain an object of more accurately estimate a posture of a mobile object in a three-dimensional space, an information processing apparatus (1) includes: an acquisition section (11) for acquiring a three-dimensional model of the mobile object; and a specifying section (12) for specifying, with reference to the three-dimensional model, a plurality of measurement point candidates necessary for estimation of the posture of the mobile object.