3D Blind Spot Visualization for Sensor Protection Areas
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Solution Overview
Problem
Users find it difficult to determine whether a critical blind spot region exists in the monitoring area, as existing systems do not effectively visualize or alert users to such regions.
Innovation Solution
An information processing apparatus that includes a distance information acquisition unit, an area information acquisition unit, a blind spot calculation unit, and a display unit to calculate and visualize three-dimensional blind spots in a virtual space, along with a warning unit to alert users to critical blind spots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a sensor is installed to monitor a protection area, then the monitoring coverage is improved, but blind spot regions are created that are difficult for users to recognize
Solution Approach 1:
The patent creates a virtual three-dimensional space that copies and visualizes the physical monitoring environment. This virtual model includes a protection area model and blind spot region model that replicate the spatial relationships of the actual sensor coverage, allowing users to see blind spots that are invisible in the physical space.
Solution Approach 2:
The patent transitions from two-dimensional sensor data to three-dimensional visualization. By constructing and displaying blind spot region models in a three-dimensional virtual space, the system adds a spatial dimension that makes invisible blind spots visible and understandable to users.
2Reliability
If the sensor installation position and orientation are adjusted to eliminate blind spots, then the monitoring reliability is improved, but the installation complexity increases
Solution Approach 1:
The patent performs preliminary visualization of blind spot regions before final sensor installation decisions are made. By displaying the blind spot region model in advance, users can evaluate different installation positions and orientations virtually, avoiding the need for complex trial-and-error adjustments in the physical space.
Solution Approach 2:
The system provides visual feedback by displaying blind spot region models that show the impact of sensor installation parameters. This feedback mechanism allows users to understand the relationship between sensor position, orientation, and resulting blind spots, enabling more intuitive installation decisions without increasing complexity.
3Area of stationary object
If the measurable region of the sensor is expanded to cover more area, then the monitoring scope is improved, but the blind spot region size increases
Solution Approach 1:
The patent segments the measurable region into distinct functional zones: a protection area model and a blind spot region model. This segmentation allows users to see the measurable region divided into useful monitoring zones and problematic blind spot zones, enabling better evaluation of whether the expansion is worthwhile.
Solution Approach 2:
The patent applies different visual characteristics to different regions within the measurable space. The blind spot region model is displayed with distinct visual properties from the protection area model, allowing users to locally identify and evaluate the quality of different zones within the expanded measurable region.
Data Source
AI summary
An information processing apparatus includes a distance information acquisition unit configured to acquire distance information obtained by measurement by a sensor, an area information acquisition unit configured to acquire information relating to a virtual three-dimensional protection area set within a measurable region of the sensor, a blind spot calculation unit configured to calculate a three-dimensional blind spot region representing a blind spot of the sensor, on the basis of the distance information, and a display unit configured to display the protection area and the blind spot region in a virtual three-dimensional space.