Agricultural Vehicle Field Work Detection via Trajectory Analysis
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Solution Overview
Problem
Existing methods for detecting and classifying agricultural field work rely on digital maps, which are not applicable to unrecorded fields, and lack accuracy in distinguishing between field work and transport activities.
Innovation Solution
A method using a satellite navigation receiver to record position fixes and time stamps, analyzing trajectory patterns, and determining feature vectors to detect field work without digital maps, incorporating maximum angle and distance criteria to identify field work, and classifying activities based on working width and speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital maps are used to detect fieldwork, then fieldwork detection can be performed on recorded fields, but the method cannot detect unrecorded fields and requires pre-existing map data
Solution Approach 1:
The patent extracts the essential fieldwork detection capability from the digital map dependency by using satellite navigation position fixes and trajectory analysis alone. The method takes out the requirement for pre-recorded field boundaries and digital map data, enabling detection on any terrain including unrecorded fields through pure trajectory pattern recognition
Solution Approach 2:
The system performs self-service by automatically detecting fieldwork and creating field boundaries through trajectory analysis without requiring external digital map data. The method uses the vehicle's own navigation data to identify working patterns, calculate field perimeters, and determine work areas independently of any pre-existing geographic information systems
2Ease of operation
If simple trajectory recording is used, then the system is easy to operate, but accuracy in distinguishing fieldwork from transport activities is insufficient
Solution Approach 1:
The patent applies dynamics by analyzing the temporal and spatial characteristics of trajectory segments. The system dynamically evaluates angle relationships between consecutive trajectory segments, time intervals between position fixes, and geometric patterns to distinguish between transport movements and fieldwork operations, transforming static position data into dynamic behavioral recognition
Solution Approach 2:
The method changes parameters by incorporating multiple evaluation criteria including angle thresholds, time interval ranges, trajectory segment lengths, and geometric shape characteristics. These parameter changes enable precise differentiation between fieldwork and transport activities while maintaining ease of operation through automated threshold-based classification
3Measurement precision
If parallel driving patterns are analyzed with multiple criteria, then fieldwork detection accuracy is improved, but the computational complexity increases
Solution Approach 1:
The patent segments the trajectory into discrete trajectory segments between turning points, allowing independent analysis of each segment's angular relationships and geometric properties. This segmentation reduces computational complexity by breaking down continuous trajectory data into manageable discrete units that can be processed sequentially with simple angle and distance calculations
Data Source
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AI summary
The invention relates to a method for detecting agricultural field work performed by a vehicle (1), comprising: a) carrying a satellite navigation receiver (4) on the vehicle (1) and recording a sequence (FG) of position fixes (pi) and associated time stamps (ti); b) for a position fix (pi): determining a group (Gi) of position fixes that lie in a range (B); c) dividing the group (Gi) into sub-groups on the basis of a minimum time interval; d) determining trajectory sections (trj) on the basis of the sub-groups; e) determining an attribute vector (Mi) for the considered position fix (pi) comprising at least an angle (αi) between two trajectory sections (trj); and, f) if the attribute vector (Mi) satisfies a specified threshold value criterion (K), detecting the position fix (pi) as a location of field work (F).