Stereo Vision Alignment for Agricultural Unloading
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Solution Overview
Problem
Existing systems for managing the unloading of agricultural material from vehicles are prone to misalignment due to errors in GPS positioning caused by electromagnetic interference, multipath propagation, and low signal strength, leading to inefficiencies in the transfer process.
Innovation Solution
A stereo vision system that uses imaging devices and image processing modules to identify the container perimeter and spout of the receiving vehicle, aligning them for precise alignment and ensuring accurate transfer by generating command data for steering and propulsion systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If GPS receivers are used to maintain proper spacing between vehicles, then the unloading process can be automated, but positioning accuracy deteriorates due to electromagnetic interference, multipath propagation, and low signal strength
Solution Approach 1:
The patent introduces an intermediary alignment system consisting of visual markers placed on the receiving vehicle and image capture devices on the transferring vehicle. This intermediary visual reference system mediates between the GPS positioning system and the unloading alignment requirement, providing high-precision relative position information that compensates for GPS inaccuracies caused by electromagnetic interference and multipath propagation.
Solution Approach 2:
The patent replaces the GPS-based mechanical positioning system with an optical vision-based alignment system. By using image capture devices to detect visual markers and calculate relative positions through image processing, the system substitutes the unreliable GPS mechanical positioning with a more accurate optical measurement system for the critical alignment function.
2Manufacturing precision
If visual alignment systems are implemented, then alignment precision is improved, but system complexity increases due to additional imaging devices and processing modules
Solution Approach 1:
The patent segments the alignment system into distinct functional modules: image capture devices mounted on the transferring vehicle, visual markers placed on the receiving vehicle, and an image processing module that calculates relative positions. This segmentation allows each component to be optimized independently and simplifies the overall system architecture, making the complex vision system more manageable and maintainable.
Data Source
AI summary
A stereo imaging device on a propelled portion of the receiving vehicle collects image data. A container identification module identifies a container perimeter of a storage portion in the collected image data. A spout identification module is adapted to identify a spout of the harvesting vehicle in the collected image data. An alignment module is adapted to determine the relative position of the spout and the container perimeter and to generate command data to the propelled portion to steer the storage portion in cooperative alignment such that the spout is aligned within a central zone or target zone of the container perimeter. A steering controller is associated with a steering system of the propelled portion for steering the receiving vehicle in accordance with the cooperative alignment.