Moving Object Position Control Under Variable Lighting
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Solution Overview
Problem
Existing methods for self-position and orientation measurement in moving objects, such as automated guided vehicles, fail to account for changes in lighting conditions or environmental brightness, leading to potential measurement accuracy degradation and increased risk of collisions in environments like shipping storage facilities.
Innovation Solution
An information processing apparatus that utilizes overhead cameras to detect changes in brightness and adjust the speed of the moving object before it reaches regions of measurement accuracy degradation, ensuring stable navigation by integrating luminance values or feature point variations to determine control information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the moving object maintains constant speed for productivity, then productivity is improved, but measurement precision deteriorates in regions with lighting changes
Solution Approach 1:
The system dynamically adjusts the movement speed of the moving object based on real-time environmental brightness conditions. When the estimation unit detects regions where brightness changes may cause measurement accuracy degradation, the control unit automatically reduces speed to maintain measurement precision, and restores normal speed when conditions are favorable, thus resolving the contradiction between constant speed for productivity and variable speed for precision
Solution Approach 2:
The system implements a feedback mechanism where the environmental information acquisition unit continuously monitors brightness conditions, the estimation unit evaluates potential measurement accuracy degradation, and the control unit adjusts speed accordingly. This closed-loop feedback system enables the moving object to adapt its speed to maintain measurement precision while minimizing impact on productivity
2Measurement precision
If the system reduces speed in low-brightness regions to maintain measurement precision, then measurement precision is improved, but productivity deteriorates
Solution Approach 1:
The system applies speed reduction only in specific local regions where brightness changes are detected to affect measurement accuracy, rather than reducing speed universally. The estimation unit identifies specific regions with potential measurement issues, and the control unit adjusts speed only when entering these regions, maintaining normal speed in safe zones, thus preserving productivity while ensuring measurement precision where needed
Solution Approach 2:
The system uses partial action by reducing speed only partially and only in necessary regions rather than continuously or excessively. The control unit determines the degree of speed reduction based on the severity of the brightness change impact, applying minimal necessary speed reduction to maintain measurement precision while maximizing productivity retention
Data Source
AI summary
An information processing apparatus that performs control related to movement of a moving object configured to measure its own position includes a memory storing instructions, and at least one processor that, upon execution of the instructions, is configured to operate as a first acquisition unit configured to acquire environmental information about an environment where the moving object moves, an estimation unit configured to estimate first positional information indicating that a region subjected to measurement accuracy degradation is below a threshold value based on the environmental information, and a determination unit configured to determine content of control information based on the first positional information.