Sensor Control Device for Dynamic Object Search
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Solution Overview
Problem
Existing sensor control systems fail to efficiently search for target objects in three-dimensional environments when the relative positional relation between the target object and obstacles changes, as they do not account for dynamic positional adjustments.
Innovation Solution
A sensor control device and method that acquires three-dimensional environmental information, detects the placement region of the target object, calculates the size of this region from multiple image data sets, and determines an optimal sensor position where the placement region is largest, allowing the sensor to move to this position for efficient target object search.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the sensor is positioned to photograph the target object while considering current obstacle positions, then the target object can be detected at the current moment, but the target object cannot be searched for efficiently when the relative positional relation changes due to obstacle or target object movement
Solution Approach 1:
The system performs preliminary actions by acquiring three-dimensional environmental information in advance, detecting placement regions where target objects may be positioned, and calculating multiple candidate sensor positions before the actual search. This allows the sensor to adapt to positional changes by having pre-computed alternative positions ready when obstacles or target objects move.
Solution Approach 2:
The system makes the sensor position dynamic by determining multiple candidate positions based on three-dimensional environmental data and placement region analysis. Instead of fixing the sensor at a single static position, the system can select from multiple candidate positions depending on the actual positions of obstacles and target objects, enabling adaptation to changing conditions.
2Productivity
If multiple sensor positions are evaluated to find the optimal position with the largest placement region, then the search efficiency is improved when positional relations change, but the calculation complexity and time required increase
Solution Approach 1:
The system applies local quality by focusing calculations on specific placement regions where target objects are likely to be positioned, rather than evaluating the entire three-dimensional environment. By detecting placement regions first and then calculating candidate sensor positions based on these regions, the system reduces calculation complexity while maintaining search efficiency.
Solution Approach 2:
The system performs preliminary detection of placement regions and calculation of candidate sensor positions before the actual target search. This pre-computation allows the system to quickly adapt to positional changes without performing complex calculations in real-time, balancing search efficiency with computational complexity.
Data Source
AI summary
An information acquisition unit acquires three-dimensional environmental information from a three-dimensional environmental information storage unit. A placement region detection unit uses the three-dimensional environmental information to detect a placement region where a target object is placed. A calculation unit calculates a size of a placement region in an image including the placement region. A viewpoint position determination unit determines, among a plurality of sensor positions where a sensor photographing the image related to image data can be placed, a sensor position where the placement region is larger than the placement region in the case of using image data of another sensor position, as an optimal viewpoint position. A sensor position control unit performs control so as to move the sensor to the optimal viewpoint position, and then performs control so as to start a search for the target object.