Movable Body Sensor Selection for Narrow-Path Obstacle Detection
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Solution Overview
Problem
Movable bodies equipped with sensors face challenges in accurately detecting peripheral obstacles, particularly in narrow paths where misalignment can lead to interference, necessitating a system that selects the appropriate sensor for obstacle detection based on the relationship between the obstacle's reference position and the movable body's position.
Innovation Solution
A movable body with multiple sensors and a control system that acquires selection information to choose the optimal sensor for obstacle detection, using the relationship between the obstacle's reference position and its own position, and a detection control unit to identify the obstacle's position from the detection result.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple sensors are used to detect obstacles in all directions, then the coverage area is improved, but the device complexity increases
Solution Approach 1:
The detection space around the movable body is segmented into multiple regions, with each sensor assigned to detect specific regions. This allows comprehensive coverage while managing complexity through functional division.
Solution Approach 2:
The sensor selection is dynamic rather than static. The control unit determines which sensor to use based on the current position of the movable body and the reference position of the obstacle, allowing the system to adaptively select the most appropriate sensor for each situation.
2Measurement precision
If a fixed sensor is used for obstacle detection, then the device complexity is reduced, but the measurement precision deteriorates in certain positions
Solution Approach 1:
The system dynamically selects which sensor to use based on the relative position between the movable body and the obstacle. This ensures that the sensor best suited for the current detection scenario is always active, maintaining high measurement precision.
Solution Approach 2:
The system changes the operational parameters by selecting different sensors based on position parameters. The control unit calculates the relationship between the movable body's position and the obstacle's reference position to determine the optimal sensor selection.
3Reliability
If all sensors operate simultaneously to detect obstacles, then the detection reliability is improved, but the energy consumption increases
Solution Approach 1:
Instead of activating all sensors simultaneously, the system activates only the necessary subset of sensors based on the current detection requirements. This partial action approach maintains sufficient detection reliability while reducing energy consumption.
Solution Approach 2:
The system serves itself by intelligently determining which sensors are needed based on its own position and the obstacle's reference position, automatically optimizing energy usage without external intervention.
Data Source
AI summary
A movable body that moves automatically includes a plurality of sensors configured to detect an obstacle in a periphery of the movable body, a selection information acquisition unit configured to acquire selection information indicating a sensor, of the plurality of sensors, to be used for detection of the obstacle, the sensor being set based on a relationship between a reference position of the obstacle and a position of the movable body, and a detection control unit configured to cause the sensor indicated by the selection information to detect the obstacle, and identify a position of the obstacle from a detection result of the obstacle.