Autonomous Farm Machine Position Cross-Check for Boundary Safety
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Solution Overview
Problem
Autonomous agricultural work machines face challenges in reliable person detection and boundary recognition due to varying plant growth and complex agricultural area boundaries, leading to potential safety-critical situations from inaccurate position determination.
Innovation Solution
The method involves using two independent position-determining devices to compare current positions, with one being satellite-supported and the other local, to reduce errors and ensure accurate navigation by determining a difference value that adjusts operational parameters such as velocity and stopping the machine if deviations exceed safety thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single position-determining device is used, then the device complexity is low, but the measurement precision and reliability of position determination deteriorate
Solution Approach 1:
The patent combines multiple independent position-determining devices (satellite-based GPS/GLONASS/Galileo and local inertial sensors) into a unified navigation system. The control unit integrates position data from both devices, using the satellite system for absolute position reference and the inertial system for continuous position tracking between satellite updates, thereby achieving high measurement precision without excessive complexity
Solution Approach 2:
The system continuously compares position data from the satellite-based device and the local inertial device, calculating position differences in real-time. This feedback mechanism allows the control unit to detect deviations and correct navigation errors, maintaining high position determination accuracy throughout operation
2Device complexity
If sensor systems are used for person detection, then the device complexity is reduced, but the reliability of safety detection deteriorates due to plant growth and working width
Solution Approach 1:
Instead of relying solely on optical sensor systems that struggle with 3D detection through dense vegetation, the patent uses precise position determination to detect when the machine approaches predefined safety boundaries or virtual fences. This transforms the detection problem from visual recognition to coordinate-based safety monitoring, achieving reliable detection regardless of plant density or working width
3Adaptability or versatility
If virtual boundary navigation is implemented, then the adaptability to complex agricultural areas is improved, but the reliability of boundary recognition deteriorates due to uncontrolled machine exit
Solution Approach 1:
The system pre-defines virtual boundaries and safety zones before operation begins. The control unit continuously monitors the machine's position relative to these predetermined boundaries using data from both position-determining devices, enabling reliable boundary recognition and automatic corrective action before the machine can exit the agricultural area uncontrolled
Data Source
AI summary
The invention relates, inter alia, to a method for operating an autonomous agricultural work machine. A first current position of the agricultural work machine is determined by means of a first position-determining device. A second current position of the agricultural work machine is determined by means of a second position-determining device. A difference value which relates to a difference between the first current position and the second current position is determined. The work machine is operated autonomously as a function of the determined difference value.