Mobile Body Stop Position Updating When Visual Target Tracking Fails
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Solution Overview
Problem
Existing mobile body control systems, such as ultra-compact mobility vehicles, struggle to dynamically adjust stop positions when the vehicle and user are moving, leading to potential stops and disruptions in travel due to the inability to detect the stop position accurately.
Innovation Solution
A mobile body control device that adjusts stop positions based on user instructions, using a combination of communication devices and image acquisition to determine a target position, and updates the stop position if the target is not identified during travel, allowing for continuous movement by adjusting the stop position according to the mobile body's motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the mobile body uses image recognition to detect the predetermined target for stop position determination, then the stop position accuracy is improved, but the system may fail to identify the target in challenging environments causing travel disruption
Solution Approach 1:
The system performs preliminary actions by acquiring multiple captured images before final stop position determination, processing images in advance to build a reliable detection history that can be used when current detection fails
Solution Approach 2:
The system implements feedback by continuously monitoring target identification results and using detection history to adjust stop position determination, feeding back previous successful detections to guide current stop positioning when real-time detection fails
2Measurement precision
If the mobile body strictly follows the initially determined stop position, then the stop position accuracy is improved, but the system cannot adapt when the target becomes undetectable during travel
Solution Approach 1:
The system applies dynamics by making the stop position adjustable and updateable during travel, allowing the stop position to change dynamically based on real-time detection results and detection history rather than being fixed
Solution Approach 2:
The system changes parameters by updating the stop position coordinates based on detection history when target identification fails, modifying the destination parameters adaptively to maintain travel continuity
3Adaptability or versatility
If the mobile body frequently updates the stop position during travel, then the adaptability is improved, but the system may lose measurement precision and fail to reach the intended destination
Solution Approach 1:
The system applies partial action by updating the stop position only when necessary (when target identification fails), rather than continuously updating, thus balancing adaptability with maintaining original destination accuracy
Solution Approach 2:
The system maintains continuity of useful action by using detection history to preserve the intended stop position whenever possible, only making changes when absolutely necessary to maintain travel continuity
Data Source
AI summary
A mobile body control device adjusts a stop position of the 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 position of the predetermined target from the mobile body as a stop position based on a region of the predetermined target identified in the captured image and control traveling of the mobile body toward the determined stop position. In a case where the predetermined target is not identified in the captured image while the mobile body is traveling toward the stop position, the device updates the stop position determined with respect to the predetermined target according to a motion of the mobile body to control the traveling of the mobile body to the stop position.