Facility Mobility Vehicle Sensing for False Intrusion Avoidance
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Solution Overview
Problem
Existing in-facility electric mobility vehicle systems face challenges in safely navigating around obstacles, particularly when users or their belongings intrude into the detection areas of sensors, leading to potential collisions or malfunctions.
Innovation Solution
The electric mobility vehicle is equipped with a controller that uses sensor data to enable automatic driving and stopping, and includes a detection cancel area where user body parts, clothing, or belongings can exist without being detected as intrusions. Additionally, a lower side sensor detects objects in the lower side area to prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the sensor detection area covers the entire front area to detect all obstacles, then the detection capability is improved, but false detections of user body parts and belongings increase
Solution Approach 1:
The detection area is segmented into multiple regions: a detection cancel area (front area where user body parts and belongings may exist) and a detection area (areas where obstacles should be detected). The controller selectively cancels detection in the front area while maintaining detection in other areas, thus avoiding false detections of user parts while preserving obstacle detection capability.
2Reliability
If the detection cancel area is set in the front area to avoid detecting user body parts, then false detections are reduced, but the ability to detect actual obstacles in the front area is weakened
Solution Approach 1:
The system adds a vertical dimension to obstacle detection by introducing a lower side sensor that detects objects in the lower side area from under the footrest surface. This complementary detection approach allows the main sensor to focus on upper areas while the lower side sensor covers the lower front area, maintaining comprehensive obstacle detection without false detections of user body parts.
3Reliability
If manual operation is required to avoid detection issues, then false detections are avoided, but automation and convenience are reduced
Solution Approach 1:
The controller receives feedback from multiple sensors including the main sensor and lower side sensor, processes this information to distinguish between user body parts and actual obstacles, and automatically adjusts detection behavior accordingly. This feedback mechanism enables the system to maintain high automation while avoiding false detections through intelligent discrimination.
Data Source
AI summary
An electric mobility vehicle in a facility includes a mobility body having a wheel, a driving unit driving the wheel, and a seat for the user, and sensors, and the mobility body has a controller which controls the driving unit for at least one of automatic driving and automatic stopping by using detected data of the sensor, the controller is configured to be able to set a detection cancel area, which is an area where a part of the user can exist in front of the user, the electric mobility vehicle further includes a lower side sensor which detects an object to be avoided from under a footrest surface or from a front end portion of a footrest portion.