Wireless Route Coordination for Obstruction-Aware Robot Travel
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Solution Overview
Problem
Existing wireless communication systems face challenges in accurately determining travel paths, particularly in scenarios involving vulnerable road users and unmanned ground robots, due to potential obstructions and the need for efficient path adjustments.
Innovation Solution
A method for determining a travel path involves detecting entry into a specific area, predicting obstruction by a first travel path, and adjusting to a second travel path based on received messages, with options for handling vulnerable road users and unmanned ground robots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a device determines travel path using existing wireless communication systems, then communication between devices is established, but path determination accuracy is insufficient due to potential obstructions and changing conditions
Solution Approach 1:
The system performs preliminary actions by detecting entry into specific areas and predicting potential obstructions before they occur. The device receives messages from other devices about their travel paths and uses this information proactively to adjust its own path, rather than reacting after a collision risk is established.
Solution Approach 2:
The system implements feedback mechanisms where devices transmit messages about their travel paths, types (first-type or second-type), and detected obstructions to other devices. This feedback loop allows continuous path determination refinement, where each device's path planning incorporates real-time information from others, improving overall path determination accuracy and reliability.
2Reliability
If the device adjusts travel path frequently to avoid obstructions, then navigation safety is improved, but communication overhead and system complexity increase
Solution Approach 1:
The system applies local quality by differentiating between first-type devices (vulnerable road users) and second-type devices (unmanned ground robots), and by identifying specific areas where obstructions may occur. Path adjustments are made locally in specific areas rather than globally, and different communication and adjustment strategies are applied to different device types, reducing overall system complexity while maintaining safety.
Solution Approach 2:
The system implements dynamic path adjustment where the travel path is not fixed but adapts in real-time based on detected obstructions and received messages from other devices. The device dynamically changes its path within specific areas when obstructions are predicted, allowing flexible navigation safety improvements without requiring complete system redesign.
3Reliability
If the device predicts and avoids obstructions proactively, then collision risk is reduced, but processing time and computational requirements increase
Solution Approach 1:
The system performs preliminary obstruction prediction by detecting entry into specific areas and using received messages to predict potential obstructions before they materialize. This proactive approach reduces collision risk by preparing path adjustments in advance, rather than requiring complex real-time calculations when obstructions are already present.
Solution Approach 2:
Each device independently performs obstruction prediction and path adjustment based on its own detection capabilities and received messages, without requiring centralized control or complex inter-device coordination. This self-service approach reduces processing time by distributing computational requirements across individual devices rather than requiring centralized processing of all device data.
Data Source
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AI summary
Disclosed are a method of determining a travel route by a device in a wireless communication system according to various embodiments and a device therefor. The method may comprise the steps of: detecting an entry into a particular area; predicting whether the traveling of a first type object located in the particular area is obstructed by a first travel route of the device for the particular area; and on the basis of prediction that the traveling of the first type object is obstructed and reception of a message including a second travel route related to a second type object identical to the device, changing the first travel route to a third travel route following the second travel route.