Sensor-Based Object Area Determination for Curved Platforms
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Solution Overview
Problem
Existing object detection systems inaccurately determine the vanishment of objects from detection areas, leading to incorrect assumptions about object movement and requiring manual, labor-intensive setup of detection areas, especially in curved environments like train platforms.
Innovation Solution
An information processing device and method that uses a criterion function to determine whether an object exists in a first or second area based on sensor data, including a sensor data acquisition section, object detection, and area determination using polynomial approximations and statistical processing to improve accuracy and reduce user effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If object detection is performed based on vanishment from detection area, then object movement tracking is achieved, but determination accuracy deteriorates due to incorrect assumptions about object dropping
Solution Approach 1:
The detection space is divided into multiple detection areas (first detection area and second detection area) separated by a reference line. This segmentation allows the system to track objects moving between areas while distinguishing actual drops from temporary occlusions, thereby maintaining tracking productivity while improving determination accuracy through spatial differentiation.
Solution Approach 2:
The patent introduces a vertical dimension to detection by defining detection areas above and below a reference line (y=0). Objects are tracked across this dimensional boundary, and drops are determined by sustained presence in the lower area rather than simple vanishment, resolving the accuracy issue while maintaining tracking capability.
2Reliability
If multiple detection areas are set for curved train platforms, then object detection coverage is improved, but user setup time and effort increase significantly
Solution Approach 1:
A single distance sensor performs multiple functions: it detects objects in both the first and second detection areas, automatically establishes the reference line based on platform geometry, and enables curved platform detection without requiring manual configuration of multiple sensors. This universal approach maintains reliable detection coverage while eliminating time-consuming setup procedures.
Solution Approach 2:
The system automatically determines the reference line and detection area boundaries based on the distance sensor's field of view and platform geometry, without requiring user intervention. The sensor self-configures the detection parameters, enabling the system to adapt to curved platforms while minimizing user setup time and effort.
Data Source
AI summary
It is desirable to provide a technology that makes it possible to improve accuracy of determination of an area where an object exists while saving users time and effort. An information processing device is provided. The information processing device includes a sensor data acquisition section configured to acquire sensor data obtained by a sensor and a determination section configured to determine whether a representative position of an object region exists in a first area or in a second area, on a basis of the sensor data and a criterion function that serves as a standard for determining the area where the representative position exists.