Structural Element Mapping With Modular Vehicle-Based 3D Sensing
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Solution Overview
Problem
Existing technologies fail to accurately generate representation models of structural elements on a surface, lacking reliability in data capture and error propagation, particularly in fields like construction where precise information about objects and surfaces is crucial for site planning.
Innovation Solution
A method and device using a vehicle equipped with detection modules and a central processing unit to iteratively generate a representation model by taking measurements, determining vehicle position and orientation, and processing data to create a two- or three-dimensional model of explored and unexplored regions, including structural elements, while preventing collisions and enriching data with additional sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a vehicle with detection modules is used to generate representation models, then measurement precision and reliability are improved, but device complexity increases
Solution Approach 1:
The detection system is divided into multiple specialized modules: a first detection module for distance measurements and a second detection module for spatial points and surface characteristics. This segmentation allows each module to be optimized for its specific function, improving overall measurement precision while managing complexity through modular design
Solution Approach 2:
The vehicle integrates multiple detection modules with different functions (distance measurement, spatial mapping, surface characterization) into a single mobile platform. This multi-functionality approach consolidates what would otherwise be separate systems, improving measurement capabilities without proportionally increasing overall device complexity
2Manufacturing precision
If iterative measurement and processing is performed to generate accurate representation models, then manufacturing precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary actions by pre-processing detection data during the measurement phase, organizing spatial points and surface characteristics into structured formats before final model generation. This preliminary organization reduces computational burden during iterative processing, improving manufacturing precision while minimizing time loss
Solution Approach 2:
The vehicle continuously moves through the environment while continuously collecting and processing detection data, rather than stopping at discrete measurement points. This continuous action allows iterative model generation to proceed without interruption, maintaining high precision while reducing total processing time
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 solution provides accurate, reliable representation models of structural elements, enhancing construction site planning by ensuring precise data capture and preventing errors, thus facilitating effective site perimeter establishment and object detection.
Implementation Method 1
a first detection module for providing distance measurements and measurement direction with respect to objects at least at an angle in an essentially horizontal plane
Implementation Method 2
a second detection module for providing distance measurements and distance measurement direction with respect to spatial points of an outer surface of objects comprised in a capture volume
Data Source
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Figure 3A~3C
AI summary
The present invention relates to a method and device for obtaining representation models of structural elements placed on a surface. The method uses a device for obtaining different measurements which allow generating representation models. The method is characterized by a set of steps comprising: placing a vehicle on the surface to be represented, determining the position and orientation of the vehicle, and taking different detection measurements by means of moving the vehicle to generate the representation model of the environment comprising at least different regions indicating explored areas, unexplored areas, and detected objects.