Autonomous Moving Body Defense Space for Obstacle-Aware Collision Control
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Solution Overview
Problem
Existing autonomous moving systems do not effectively avoid collisions with obstructions near the entry-prohibited space when they start moving, and may be hindered by obstructions within the entry-restricted space, leading to potential collisions or delayed movement.
Innovation Solution
An autonomous moving system that includes a control unit for collision avoidance and damage mitigation, a setting unit for a defense space, a detecting unit for obstacle recognition, and a classifying unit that adjusts the defense space based on obstacle classification, using machine learning algorithms to adapt movement strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the autonomous moving body starts moving when an obstruction is outside the entry-prohibited space, then the moving speed and productivity are improved, but the risk of collision with obstructions increases
Solution Approach 1:
The system performs preliminary detection of obstructions in the vicinity before the autonomous moving body starts moving. The detecting unit identifies obstructions and the classifying unit categorizes them, allowing the control unit to take preventive action by adjusting the defense space range before movement begins, thus avoiding collisions while maintaining productivity
Solution Approach 2:
The defense space range is dynamically adjusted based on the classification of detected obstructions. The setting unit changes the defense space range according to the type of obstruction, allowing the system to optimize its safety margin in real-time, balancing collision avoidance with efficient movement
2Reliability
If the autonomous moving body stops when an obstruction is present in the entry-prohibited space, then the collision risk is reduced, but the movement efficiency and productivity deteriorate
Solution Approach 1:
The system applies different defense space ranges to different situations based on obstruction classification. Instead of a uniform stop condition, the control unit adjusts the defense space locally according to the type of obstruction detected, allowing movement to continue in safe conditions while stopping only when necessary, thus maintaining productivity while ensuring collision avoidance
Solution Approach 2:
The system changes the parameter of defense space range based on the classification results. By adjusting this parameter dynamically, the system can distinguish between situations requiring stopping and those allowing continued movement, resolving the contradiction between safety and efficiency
Data Source
AI summary
An autonomous moving system according to the present disclosure is an autonomous moving system including an autonomous moving body that moves autonomously. The autonomous moving system includes a control unit that executes control of movement of the autonomous moving body including collision control, a setting unit that sets a defense space around the autonomous moving body, for executing the collision control, a detecting unit that detects obstructions in a vicinity of the autonomous moving body, and a classifying unit that classifies obstructions that are detected. The setting unit changes a range of the defense space, based on the obstructions that are classified by the classifying unit, and the control unit executes control of movement of the autonomous moving body including the collision control in at least one of when the obstruction is inside the defense space and when the obstruction is predicted to enter the defense space.