Autonomous Inspection Vehicle With 3D CAD Registration for Defect Localization
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Solution Overview
Problem
Existing methods for inspecting large objects such as airplanes and architectural structures are inefficient and lack precision in defect detection, particularly when using drones or unmanned aerial vehicles.
Innovation Solution
An autonomous inspection vehicle equipped with a localization subsystem, 3D mapping sensors, and a computing system that registers a 3D CAD model to a generated 3D point cloud, allowing precise navigation and defect detection based on predefined inspection instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If drones are used to inspect large objects, then the inspection cost is reduced and maneuverability is improved, but the inspection precision and defect detection accuracy are insufficient
Solution Approach 1:
The system performs preliminary actions by generating a 3D map of the object and registering it with a 3D CAD model before the actual inspection. This pre-processing establishes a precise reference framework that guides subsequent inspection operations, enabling accurate defect detection without requiring complex real-time computation during inspection flight.
Solution Approach 2:
The patent introduces a 3D map as an intermediary between the physical object and the inspection system. This 3D map, registered with the CAD model, serves as a mediator that translates physical object coordinates into the inspection vehicle's navigation and inspection planning system, thereby achieving precise defect detection while maintaining the simplicity of drone-based inspection.
2Measurement precision
If manual inspection methods are used, then inspection precision can be maintained, but inspection efficiency and time consumption are high
Solution Approach 1:
The inspection system performs self-service by autonomously navigating to inspection locations and executing inspection tasks without human intervention. The vehicle uses its own sensors and the pre-generated 3D map to independently determine inspection paths and capture defect data, dramatically improving inspection efficiency while maintaining precision through automated positioning and registration.
Solution Approach 2:
The patent replaces manual mechanical inspection processes with an automated inspection vehicle equipped with sensors. The mechanical navigation and positioning are handled by the vehicle's localization system and pre-registered 3D map, substituting human operators with an automated system that achieves both high precision and efficiency.
3Device complexity
If the inspection vehicle navigates autonomously without pre-mapped data, then the inspection process is simpler, but the ability to locate and inspect specific features is compromised
Solution Approach 1:
The system performs the preliminary action of generating a 3D map and registering it with the CAD model before autonomous navigation begins. This pre-computed spatial relationship enables the vehicle to accurately locate and navigate to specific features during autonomous operation, maintaining simplicity while achieving high precision feature localization.
Solution Approach 2:
The patent creates a digital copy of the object's 3D geometry through the 3D map, which is then registered with the CAD model. This digital copy serves as a reference that the autonomous vehicle uses to navigate and locate features accurately, eliminating the need for complex real-time mapping while maintaining high localization precision.
Data Source
AI summary
A vehicle autonomously inspects an object within an environment. The vehicle includes an inspection sensor, a localization sensor, and a computing system. The localization sensor can detect three-dimensional surfaces within the environment. The inspection sensor can characterize the object. The computing system includes a memory configured to store a three-dimensional model of the object and predetermined inspection instructions. The computing system further includes a processor configured to register the model of the object within the environment based on information gathered by the localization sensor on an initial journey of the vehicle. The processor can also adjust the predetermined inspection instructions based on the information gathered by the localization sensor on an initial journey of the vehicle.