Work Vehicle Route Generation Using Priority-Based Path Selection
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Solution Overview
Problem
Users without expertise in inputting arbitrary setting data for target route generation in autonomous work vehicles face time-consuming and potentially incorrect input processes, leading to unsuitable routes that can result in inefficient work operations.
Innovation Solution
A target route generation system that includes a storage part for basic data, a priority item selection part, and a target route generation part that generates routes based on selected priority items, allowing users to select suitable routes without manual input of detailed setting data, along with an option for inputting arbitrary data for correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the user manually inputs arbitrary setting data for target route generation, then the target route can be generated according to the user's sense of value, but the input process becomes time-consuming and complex for users not skilled in operation
Solution Approach 1:
The system automatically acquires work area determination points by having the tractor travel along the outer periphery of the field and store the position data. This self-service mechanism eliminates the need for manual input of arbitrary setting data, reducing operational complexity while maintaining route generation accuracy based on the user's sense of value.
Solution Approach 2:
The system changes the parameter acquisition method from manual input to automatic acquisition through vehicle traversal. The position data is automatically captured and stored, transforming the input process from a complex manual operation to a simple automatic data collection process.
2Reliability
If the user inputs arbitrary setting data according to their sense of value, then the target route matches the user's requirements, but incorrect or incomplete input leads to inappropriate route generation with narrow working size or long non-working travel distance
Solution Approach 1:
The system performs self-service by automatically acquiring position data during field traversal and generating the work area. This eliminates the time-consuming manual input process while ensuring the generated route accurately reflects the user's sense of value, as the data is objectively captured from the actual field boundaries.
Solution Approach 2:
The system performs preliminary action by acquiring and storing position data before route generation. The tractor travels along the field periphery and stores position data in advance, preparing the necessary information for accurate route generation without requiring manual input at the time of route creation.
3Adaptability or versatility
If the system requires manual input of arbitrary setting data, then detailed control over route generation is possible, but the overall system complexity increases
Solution Approach 1:
The system achieves adaptability through self-service automation. The position data is automatically acquired and the work area is automatically determined, maintaining the flexibility to generate routes according to the user's sense of value while eliminating the complexity of manual input interfaces and data entry procedures.
Data Source
AI summary
An objective of the present invention is to make it possible to obtain, with a simple operation, a target route for autonomous travel suited to, for example, a user's sense of values. A target route generation system for a work vehicle includes a storage part 30A that stores basic data necessary for generating a target route P for autonomous travel, a priority item selection part 34 that prompts selection of a priority item with regard to generation of the target route P, and a target route generation part 30D that generates the target route P based on the basic data and the selected priority item.