Autonomous Work Vehicle Obstacle Control by Field Boundary
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Solution Overview
Problem
Conventional autonomous travel systems incorrectly identify objects outside the work area as obstacles, leading to unnecessary collision avoidance maneuvers that decrease work efficiency.
Innovation Solution
A control method that distinguishes between detection targets inside and outside the work region, and within or outside the vehicle's control range, to differentiate treatment processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If collision avoidance control is performed for all detected objects, then safety is improved, but work efficiency decreases due to unnecessary maneuvers
Solution Approach 1:
The patent applies different treatment processes to detection targets based on their location relative to the work region. Objects inside the work region are treated as potential obstacles requiring collision avoidance, while objects outside the work region are not treated as obstacles. This localized differentiation resolves the contradiction by applying safety measures only where necessary, avoiding unnecessary collision avoidance maneuvers for objects outside the work area.
Solution Approach 2:
The detection space is segmented into two distinct zones: inside the work region and outside the work region. This segmentation allows the system to apply different control strategies to each zone, enabling selective collision avoidance only for objects within the work region while ignoring objects outside, thereby maintaining work efficiency without compromising safety within the operational area.
2Measurement precision
If the detection range is expanded to cover all areas, then detection capability is improved, but false identification of obstacles increases
Solution Approach 1:
The patent assigns different significance levels to detection targets based on their location. Detection targets inside the work region are identified as potential obstacles requiring attention, while detection targets outside the work region are not identified as obstacles. This location-based differentiation eliminates false identification while maintaining comprehensive detection capability across all areas.
Data Source
AI summary
An autonomous travel system causes a work vehicle to execute treating processes different from each other depending on whether a detection target detected by an obstacle sensor while the work vehicle is autonomously traveling in a field is located inside the field or located outside the field.