Thermal Drogue Tracking for Autonomous Vehicle Connector Mating
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Solution Overview
Problem
Existing docking operations for vehicles, such as air-to-air refueling and spacecraft docking, rely heavily on human judgment and are challenging to extend to autonomous systems due to the complexity and precision required, making them difficult to certify and increasing costs.
Innovation Solution
A thermal imaging sensor and vision processor system is used to generate and process thermal images to detect multiple candidate locations of a drogue, providing a tracked position for connector mating, thereby reducing reliance on human operators and enhancing system reliability and certification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If human operators guide complex docking operations, then operational flexibility and judgment are improved, but cost and training requirements increase
Solution Approach 1:
The patent replaces human operators with an autonomous vision-based system that uses thermal imaging sensors and computer vision algorithms to detect, track, and guide connector mating operations. This substitution eliminates the need for human judgment while achieving autonomous operation in GPS-denied environments.
Solution Approach 2:
The system performs self-guidance by processing its own sensor data through computer vision algorithms to automatically determine connector positions and guide mating operations without external human intervention or reliance on GPS/INS systems.
2Extent of automation
If artificial intelligence-based solutions are used for autonomous docking, then automation is improved, but certification difficulty increases
Solution Approach 1:
The patent replaces complex AI-based computer vision systems with a simplified thermal image processing approach that uses traditional image processing algorithms to detect thermal signatures of connectors. This substitution maintains automation while improving certifiability through deterministic, well-understood processing methods.
Solution Approach 2:
The system changes the detection parameter from visual features (used in AI-based solutions) to thermal features, exploiting the thermal contrast between connectors and surrounding structures. This parameter change enables reliable detection with simpler algorithms that are easier to certify.
3Measurement precision
If thermal image processing is used to detect connector locations, then measurement reliability is improved, but processing complexity increases
Solution Approach 1:
The patent applies local quality by focusing thermal image processing on specific regions of interest where connectors are expected to be located. The system processes only relevant thermal signatures rather than entire images, reducing computational complexity while maintaining detection precision.
Solution Approach 2:
The system changes the detection approach from analyzing complex visual features to detecting thermal contrast patterns. This parameter change simplifies the processing algorithm while improving measurement reliability by exploiting the distinct thermal signatures of connectors against their background.
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 system provides a cost-effective, reliable, and certifiable solution for autonomous connector mating, improving efficiency and reducing training costs by using all-optical, passive tracking methods, even in environments where GPS or INS systems are inoperable.
Implementation Method 1
a thermal imaging sensor configured to generate a thermal image depicting a drogue attached to a vehicle
Data Source
AI summary
A device includes a thermal imaging sensor configured to generate a thermal image depicting a drogue attached to a vehicle. The device includes a vision processor coupled to the thermal imaging sensor. The vision processor is configured to process the thermal image to obtain multiple candidate locations of the drogue in the thermal image and one or more scores associated with each of the candidate locations. The device also includes a second processor configured to process the candidate locations and the one or more scores associated with each of the candidate locations to generate a tracked position of the drogue.


