Autonomous Travel Boundary Control via Segmentation
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Solution Overview
Problem
Conventional autonomous travel systems do not efficiently manage the boundary between topological and metric regions, leading to decreased operation efficiency as vehicles are either stopped or incorrectly instructed to bypass areas they can safely enter.
Innovation Solution
The system divides the boundary into smaller regions and dynamically releases blocked states where no vehicles are present, allowing for more precise control of blocked regions at the boundary between topological and metric map representations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all boundary points and boundary sides are blocked to prevent vehicles from passing through the boundary between topological and metric regions, then safety is improved, but operation efficiency deteriorates due to unnecessary stops and bypass instructions
Solution Approach 1:
The boundary between topological and metric regions is divided into multiple discrete boundary points and boundary sides. Instead of blocking the entire boundary uniformly, the system segments the boundary into individual controllable units that can be blocked or released independently based on vehicle presence and travel requirements.
Solution Approach 2:
The blocked state of boundary regions is made dynamic rather than static. The system continuously monitors vehicle positions and automatically adjusts the blocked state of each boundary point and side - blocking when vehicles are present near boundaries, and releasing when no vehicles are present, thereby adapting to real-time operational conditions.
2Device complexity
If a simple blocking method is used at the boundary between topological and metric regions, then implementation complexity is reduced, but operation efficiency decreases due to excessive blocking
Solution Approach 1:
The boundary control is segmented into discrete boundary points and boundary sides that can be independently managed. This segmentation allows the system to apply blocking only where and when necessary, rather than implementing a blanket blocking approach, thus maintaining simplicity while improving efficiency.
Solution Approach 2:
The system implements automatic monitoring and control of boundary regions based on vehicle position data. The blocking and releasing of boundary regions occurs automatically without manual intervention, with the system serving itself by detecting vehicle presence and adjusting boundary states accordingly.
Data Source
AI summary
Provided is an autonomous travel system having an operation management unit including a map database with a combination of topological region maps, on which the range of travel of a vehicle is expressed as points and lines, and metric region maps, on which the travel range is expressed on planar maps; a vehicle position management unit for managing the position of the vehicle; and a vehicle travel planning unit for planning vehicle travel, which, if the vehicle is present near the boundary of a map, blocks the map boundary so that other vehicles will not advance into another map. The operation management unit is provided with a blockage setting unit for dividing a boundary section of a map into a plurality of regions and releasing the blockage of the boundary of a divided region in which no vehicles are present in front of the vehicle in the direction of travel.