Mobile Object Control Using Braille Block Vibration Recognition
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Solution Overview
Problem
Existing mobile object systems rely solely on peripheral images for sidewalk recognition, which is inadequate in certain conditions.
Innovation Solution
Utilize an acceleration sensor to detect braille blocks on the ground, analyzing vibration patterns to determine whether the mobile object is on a sidewalk or roadway, employing both reference patterns and machine learning models for accurate recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If peripheral images are used to recognize sidewalks, then recognition accuracy is improved, but the system cannot recognize sidewalks in cases where peripheral images are unavailable
Solution Approach 1:
The patent introduces acceleration sensor data as an intermediary to detect braille blocks, which serve as indicators of sidewalks. This mediator enables sidewalk recognition through vibration patterns when peripheral images are unavailable, resolving the contradiction between recognition accuracy and availability.
Solution Approach 2:
The patent replaces the optical/mechanical image-based recognition system with a vibration-based detection system using acceleration sensors. This substitution allows sidewalk detection through mechanical vibration analysis of braille blocks, enabling operation without peripheral visual information.
2Adaptability or versatility
If acceleration sensor data is used to detect braille blocks, then sidewalk recognition is enabled without peripheral images, but the complexity of vibration pattern analysis increases
Solution Approach 1:
The patent stores reference vibration patterns of braille blocks in advance. By preparing these reference patterns beforehand, the system simplifies real-time analysis by comparing current sensor data against pre-stored references, reducing computational complexity while maintaining detection capability.
Solution Approach 2:
The patent creates a simplified representation of braille block vibrations by storing reference vibration patterns. This copying approach allows the system to work with compact reference data rather than complex real-time analysis, reducing device complexity while preserving recognition capability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables reliable sidewalk recognition without relying on peripheral images, ensuring safe and controlled navigation on both roadways and sidewalks.
Implementation Method 1
an acceleration sensor that detects an acceleration of the mobile object
Data Source
AI summary
Provided is a control device for a mobile object capable of moving on a roadway and a predetermined area different from the roadway, the control device comprising a storage device storing a program and a hardware processor connected to the storage device, the hardware processor executing the program stored in the storage device to: recognize whether the mobile object is moving on the roadway or the predetermined area based on an output of an acceleration sensor for detecting an acceleration of the mobile object; and recognize that the mobile object is moving on the predetermined area when the mobile object is determined to reach a braille block based on the output of the acceleration sensor.