Autonomous Work Vehicle Route Planning From User Priority 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 may 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 optional arbitrary data input part for corrections.
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 determines work area determination points by acquiring field shape data and autonomously generating the target route based on predetermined conditions, eliminating the need for manual user input of arbitrary setting data while maintaining route generation accuracy
Solution Approach 2:
The system changes the input parameters from requiring multiple arbitrary setting data points to requiring only basic field shape data, simplifying the input process while the algorithm internally handles the complex route generation based on the work vehicle's working width and other parameters
2Reliability
If the user inputs arbitrary setting data in accordance with their sense of value, then the target route matches the user's requirements, but inexperienced users may input incorrect data leading to inappropriate route generation
Solution Approach 1:
The system automatically determines work area determination points based on the acquired field shape data without requiring user input, eliminating errors from inexperienced users while maintaining route suitability through algorithmic precision
Solution Approach 2:
The system replaces the manual mechanical input process with an automated computational process that calculates optimal route parameters based on field geometry and vehicle characteristics, ensuring input data accuracy through mathematical algorithms rather than human judgment
3Ease of operation
If the system requires manual input of arbitrary setting data, then the user can control the route generation process, but the overall work efficiency decreases due to time-consuming input operations
Solution Approach 1:
The system performs automatic route generation by acquiring field shape data and autonomously determining work area determination points and route parameters, eliminating time-consuming manual input operations while maintaining user control through the ability to review and adjust generated routes
Solution Approach 2:
The system pre-determines optimal route parameters and work area determination points based on the acquired field data before the user needs to review or approve the route, preparing the complete route plan in advance to maximize work efficiency
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.