Multi-Sensor Area Monitoring for Mobile Object Correlation
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Solution Overview
Problem
Existing area monitoring systems struggle to accurately ascertain the state of mobile objects and road conditions due to changes in monitoring target areas, leading to inadequate monitoring capabilities.
Innovation Solution
An area monitoring system utilizing a combination of radio wave and optical sensors to detect and identify mobile objects, determining whether they are the same physical object based on features like position deviations, speed distributions, and reflection intensities, with a manager issuing appropriate action instructions for vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single type of sensor is used for monitoring, then the system is simple, but the accuracy of ascertaining mobile object state and road conditions deteriorates
Solution Approach 1:
The patent combines radio wave sensors (radar) and optical sensors (cameras) into a unified monitoring system. The radio wave sensor detects mobile objects and their movement states, while the optical sensor captures images. By merging these different sensor types, the system achieves comprehensive detection capabilities that neither sensor could provide alone, resolving the contradiction between system simplicity and detection accuracy.
Solution Approach 2:
The system uses a composite sensing approach, integrating data from heterogeneous sensor modalities (radio wave and optical). This composite sensing strategy allows the system to leverage the strengths of each sensor type - radio waves for penetration and motion detection, optical for detailed visual information - thereby improving overall measurement precision without excessive complexity.
2Measurement precision
If multiple sensor types are combined, then the accuracy of monitoring improves, but the device complexity increases
Solution Approach 1:
The determination unit serves multiple functions: it processes data from both radio wave and optical sensors, determines whether detected objects are the same physical entity, ascertains mobile object states, and generates monitoring results. This multi-functional design consolidates complex processing tasks into a single unit, improving monitoring accuracy while managing system complexity.
Solution Approach 2:
The determination unit acts as an intermediary that bridges the radio wave sensor and optical sensor. It receives detection results from both sensors, performs correlation analysis to determine if they detect the same object, and synthesizes this information into coherent monitoring results. This intermediary approach manages the complexity of multi-sensor integration by providing a centralized processing layer.
3Reliability
If feature quantities and reflection intensities are analyzed, then the ability to identify same physical object improves, but the information processing complexity increases
Solution Approach 1:
The determination unit analyzes changes in feature quantities (position, speed, acceleration) and reflection intensities over time to determine whether detected objects are the same physical entity. By monitoring parameter changes and their consistency across different sensor types, the system achieves reliable object identification while using computationally efficient methods to process the data.
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
Enhances the ability to accurately monitor and manage monitoring target areas, providing timely and relevant instructions to vehicles for improved traffic safety and efficiency.
Implementation Method 1
a radio wave sensor and an optical sensor... when the mobile objects have been detected by the radio wave sensor
Implementation Method 2
an optical sensor... when the mobile objects have been detected by the radio wave sensor and the optical sensor
Data Source
AI summary
Area monitoring system includes a plurality of sensor devices each installed in a monitoring target area and configured to detect a mobile object moving in the monitoring target area and a determiner configured to determine whether or not mobile objects detected by the plurality of sensor devices are the same physical object on the basis of detection results of the plurality of sensor devices. The plurality of sensor devices include at least a radio wave sensor and an optical sensor. The determiner determines whether or not mobile objects detected by the radio wave sensor and the optical sensor are the same physical object on the basis of information of at least one of feature quantities regarding movements of the mobile objects and reflection intensities corresponding to attributes of the mobile objects when the mobile objects have been detected by the radio wave sensor and the optical sensor.