Moving Object Stop Position Control Using Visual Target Feedback
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Solution Overview
Problem
Existing technologies do not consider dynamic adjustment of stop positions for ultra-compact mobility vehicles while in use, especially in scenarios with congestion or restrictions, limiting flexibility in positioning.
Innovation Solution
A moving object control apparatus that acquires user instructions and image data to determine and adjust the stop position of the vehicle, using both position information from communication devices and visual targets identified in captured images, allowing for flexible positioning between the user and the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the vehicle travels to a predetermined stop position based on position information, then the stopping accuracy is improved, but the flexibility to adjust stop position dynamically is reduced
Solution Approach 1:
The system transitions from a static stop position determination (based solely on pre-set position information) to a dynamic determination process. When the vehicle approaches the predetermined stop position, the determination unit re-evaluates and can select a new stop position based on real-time image recognition of landmarks and user instructions, allowing flexible adjustment while maintaining accurate stopping capability
Solution Approach 2:
The system implements feedback by continuously monitoring the vehicle's position relative to the predetermined stop position and using image recognition to detect landmarks. When the vehicle is in the vicinity of the stop position, the system receives feedback from image processing results and user instructions to dynamically adjust the stop position, combining predetermined position data with real-time visual feedback
2Device complexity
If the vehicle uses only position information from communication devices to determine stop position, then the system complexity is reduced, but the adaptability to visual environment changes is limited
Solution Approach 1:
The system merges two different information sources: position information from communication devices (GPS, base station) and visual information from image recognition of landmarks. The determination unit integrates both types of data to comprehensively determine the stop position, combining the simplicity of position-based navigation with the environmental adaptability of visual recognition
3Ease of operation
If the vehicle allows dynamic adjustment of stop position based on user instructions and image recognition, then the usability in congested areas is improved, but the determination complexity increases
Solution Approach 1:
The system performs preliminary action by pre-setting a predetermined stop position based on position information before the vehicle reaches the area. This preliminary position serves as a default target, and only when the vehicle approaches this position does the system activate more complex image recognition and user instruction processing, thereby managing determination complexity through staged activation
Data Source
AI summary
A moving object control apparatus in the present disclosure that adjusts a stop position of a moving object based on an instruction of a user, acquires instruction information of the user and acquires a captured image captured in a moving object. The apparatus determines a stop position of the moving object and controls traveling of the moving object to cause the moving object to travel toward the determined stop position. The apparatus (i) determines a first stop position using position information of a communication device used by the user or position information corresponding to a destination included in first instruction information of the user, and (ii) determines a second stop position based on second instruction information of the user and a region of a predetermined target identified in the captured image.