Autonomous Work Vehicle Route Planning by User Priority Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users without expertise in inputting arbitrary setting data face time-consuming and potentially incorrect input processes in existing target route generation systems for autonomous work vehicles, leading to inefficient or unsuitable target routes.
Innovation Solution
A system that allows users to select priority items corresponding to their sense of value, generating target routes based on stored basic data without requiring manual input of setting data such as work area determination points, start and end positions, and directions, enabling simple selection of suitable routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the user manually inputs arbitrary setting data (work area determination points, start and end positions, directions) to generate a target route, then the target route can be generated according to the user's specific requirements, but the input process becomes time-consuming and complex for users without expertise
Solution Approach 1:
The system automatically determines work area determination points, start and end positions, and travel directions by utilizing the work vehicle's own travel data and field information. The microprocessor executes algorithms that self-generate the arbitrary setting data without requiring manual user input, thereby reducing input time while maintaining route generation accuracy.
Solution Approach 2:
The system performs preliminary data collection and processing by storing basic data about the field and the work vehicle's travel patterns before route generation is needed. This preliminary action includes capturing work area boundaries, vehicle position data, and operational parameters, which are then automatically utilized to generate the target route without requiring users to re-input this information each time.
2Adaptability or versatility
If the user manually inputs arbitrary setting data to generate a target route, then the route can be customized according to user preferences, but the operation becomes difficult and error-prone for users without expertise
Solution Approach 1:
The system automatically generates customized target routes by utilizing stored basic data about the field characteristics and the work vehicle's operational parameters. The microprocessor executes algorithms that adapt the route generation to different field conditions and vehicle types without requiring users to manually configure complex parameters, thereby maintaining adaptability while simplifying operation.
Solution Approach 2:
The system is designed to handle multiple types of work vehicles (tractors, combines, planters, etc.) and various field conditions using a universal route generation algorithm. The same basic data storage and processing mechanism serves different vehicle types and operational scenarios, making the system versatile without increasing operational complexity for users.
3Ease of operation
If arbitrary setting data is not appropriately input, then the input process is simplified, but the generated target route may be inappropriate and cause disadvantages during autonomous work
Solution Approach 1:
The system automatically determines appropriate setting data by analyzing stored basic data about the field and vehicle characteristics. The microprocessor executes algorithms that self-correct and optimize the route parameters, ensuring route suitability without requiring users to have expertise in inputting appropriate data. This eliminates the trade-off between input simplicity and route reliability.
Solution Approach 2:
The system incorporates feedback mechanisms where the generated target route is evaluated against stored basic data and operational requirements. The microprocessor adjusts the route parameters based on this feedback to ensure appropriateness, thereby maintaining reliability even when users provide minimal or no manual input.
4Measurement precision
If the system requires manual input of arbitrary setting data, then the route can be precisely generated according to user specifications, but the device complexity increases
Solution Approach 1:
The system utilizes the work vehicle's existing sensors, communication devices, and stored basic data to automatically generate precise target routes. The microprocessor executes algorithms that self-determine work area boundaries, start and end positions, and travel directions without requiring additional complex input interfaces or manual configuration systems, thereby maintaining precision while reducing device complexity.
Data Source
Figure 1
Figure 2
Figure 3
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.