Mobile Body Stop Position Control During Target Loss
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Solution Overview
Problem
Existing technologies for ultra-compact mobility vehicles struggle to dynamically adjust the stop position while both the vehicle and user are moving, leading to potential travel disruptions and increased distance between the user and the vehicle.
Innovation Solution
A mobile body control device that acquires user instructions, captures images, determines the stop position based on identified targets, and controls the vehicle to travel towards the determined stop position, updating the position if the target is not identified during travel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the mobile body stops when the target is not identified in the captured image, then the positioning accuracy is improved, but the travel continuity deteriorates
Solution Approach 1:
The system performs preliminary action by predicting the stop position based on the last identified target position and vehicle motion information before the target is actually identified. This allows the vehicle to maintain travel continuity while preparing for accurate positioning, resolving the contradiction between stopping for accuracy and continuing for productivity.
Solution Approach 2:
The system introduces an intermediary mechanism (position prediction based on motion information) between the target identification failure and the vehicle stopping decision. Instead of directly stopping when target is not identified, the system uses motion-based position estimation as an intermediary to maintain travel while ensuring positioning accuracy through continuous update when target is identified.
2Ease of operation
If the stop position is dynamically adjusted while both vehicle and user are moving, then the ease of operation is improved, but the reliability deteriorates
Solution Approach 1:
The system implements feedback by continuously monitoring target identification status and vehicle motion, and dynamically adjusting the stop position based on this feedback. When the target is identified, the system confirms the position; when not identified, it uses motion-based prediction. This feedback loop maintains ease of operation while ensuring reliability through continuous validation.
Solution Approach 2:
The system applies dynamics by making the stop position adjustable and adaptable during motion rather than fixed. The stop position is dynamically updated based on target identification results and vehicle motion, allowing the system to adapt to changing conditions while maintaining stability through controlled adjustment mechanisms.
Data Source
AI summary
A mobile body control device adjusts a stop position of a mobile body based on an instruction of a user. The device acquires instruction information for designating a predetermined target and acquires a captured image captured in the mobile body. The device determines a stop position, which is a relative position of the predetermined target measured from the mobile body, where on a region of the predetermined target has been identified in the captured image and control traveling of the mobile body toward the determined stop position. When the predetermined target cannot be identified in the captured image when the mobile body is traveling toward the stop position, the device updates the stop position determined for the predetermined target in accordance with the movement of the mobile body, thereby controlling traveling of the mobile body toward the stop position.


