Optical Flow Sensing for Agricultural Vehicle Motion Tracking
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Solution Overview
Problem
Agricultural vehicles face challenges in navigating fields efficiently without human input, as existing steering systems may fail due to external interference or be unavailable, and require additional motion sensing capabilities for precise control and safety.
Innovation Solution
An optical flow sensing system using image processing to measure motion relative to targets in the agricultural environment, providing motion data for steering, implement angle, and bending moment calculations, which can supplement or replace primary steering mechanisms and enhance resource efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional motion sensors are added to the agricultural vehicle, then measurement precision and reliability improve, but device complexity and cost increase
Solution Approach 1:
The camera system performs multiple functions: capturing images for optical flow analysis to determine vehicle motion, and simultaneously capturing images for guidance system navigation. By making the camera multi-functional, the patent avoids adding separate motion sensors while achieving precise motion measurement through image processing algorithms that analyze pixel displacement between consecutive frames.
2Reliability
If multiple sensors are used for motion detection, then reliability improves, but resource utilization decreases
Solution Approach 1:
The same camera resource is shared between two critical functions: optical flow-based motion detection and guidance system navigation. The system processes images from the single camera to extract both vehicle motion parameters (speed, heading, roll, pitch) and positional information for steering control, thereby maintaining high reliability while optimizing resource utilization by eliminating redundant sensors.
3Device complexity
If optical flow analysis is implemented using existing camera images, then device complexity is reduced, but measurement precision may be compromised
Solution Approach 1:
The patent replaces physical motion sensors (accelerometers, gyroscopes, odometers) with an optical-based measurement system. By substituting mechanical sensing devices with image processing algorithms that analyze temporal changes in camera images, the system achieves motion measurement capabilities without adding mechanical complexity, while maintaining precision through sophisticated pixel displacement analysis and feature tracking methods.
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
Enables efficient navigation and safety by providing continuous motion data for steering, maintaining implement angles, and preventing equipment damage, while reducing reliance on other sensors and improving resource utilization.
Implementation Method 1
optical flow circuit set to identify a transformation of landmarks between the first image and the second image
Data Source
AI summary
System and techniques for optical flow sensing applications in agricultural vehicles are described herein. A plurality of digital images of an agricultural environment can be obtained from a sensor affixed to agricultural equipment. The plurality of digital images can include a first image and a second image, the second image being captured subsequent to the first image. A transformation of a landmark between the first image and the second image can be identified. A degree of motion for the agricultural equipment relative to an environmental target can be calculated based on the transformation of the landmark.