Mobile Object Stop Positioning Within Traffic Visual Fields
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Solution Overview
Problem
Existing robot systems guiding users or transporting luggage do not adequately consider the stop position of mobile objects in relation to their environment.
Innovation Solution
A control system that includes a detection unit to identify objects around a mobile object, a recognition unit to determine a stop position based on detected objects, and a control unit to stop the mobile object at a position within the visual field range of approaching traffic participants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the mobile object stops at any position, then the control system is simple, but the safety and recognition by traffic participants cannot be ensured
Solution Approach 1:
The control system performs preliminary actions by detecting objects around the mobile object, recognizing traffic participants and their visual field ranges in advance, and determining appropriate stop positions before the mobile object actually stops. This ensures safety and recognition without requiring complex real-time adjustments at the moment of stopping.
Solution Approach 2:
The control system uses feedback by continuously monitoring the visual field ranges of recognized traffic participants and adjusting the stop position determination based on this information. The system feedback loops ensure that the mobile object stops at positions where it can be properly recognized by approaching traffic participants.
2Loss of information
If the mobile object stops without considering visual field range, then the stopping process is quick, but the traffic participant cannot recognize the mobile object
Solution Approach 1:
The system performs preliminary recognition of traffic participants and calculation of their visual field ranges before the mobile object stops. This allows the stop position to be determined in advance based on where the mobile object will be visible to traffic participants, preventing visual recognition loss without delaying the stopping process.
Solution Approach 2:
The control system acts as an intermediary by processing information about traffic participants' visual field ranges and translating this into appropriate stop position decisions. This intermediary function ensures that visual recognition requirements are met while maintaining efficient stopping timing.
3Reliability
If the mobile object stops at a position outside the visual field range, then the mobile object can stop quickly, but safety is compromised
Solution Approach 1:
The control system performs preliminary detection of objects and recognition of traffic participants with their visual field ranges before determining the stop position. This allows the system to identify safe stop positions within visual field ranges in advance, ensuring safety without significantly delaying the stopping process.
Solution Approach 2:
The control system changes the stop position parameter based on the visual field range parameters of recognized traffic participants. By adjusting the stop position to fall within the visual field range, the system maintains safety while minimizing impact on stopping efficiency.
Data Source
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AI summary
A control system that controls a mobile object includes a detection unit configured to detects object around the mobile object, a recognition unit configured to recognize a traffic participant that is estimated to pass by the mobile object included in the object and a stop position to which the mobile object is able to be evacuated on the basis of a result of the detection by the detection unit, and a control unit configured to stop the mobile object at a stop position so that the mobile object is included in a visual field range of the traffic participant when the traffic participant and the mobile object are estimated to pass by each other.