3D Surround View Boundary Control During Image Rotation Stop
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Solution Overview
Problem
Existing vehicle surroundings monitoring systems fail to improve the visibility of rotatable three-dimensional images displayed on a display device, particularly at the boundary regions between combined images when rotation is stopped, leading to potential discomfort for users.
Innovation Solution
A control device and method that generates a three-dimensional image using imaging data from multiple cameras, allowing rotation of the image space and predicting the position of boundary regions at the time of rotation stop, adjusting these regions to avoid conspicuous areas on the display, thereby enhancing visibility and user comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a three-dimensional image is generated by combining multiple captured images, then the coverage of vehicle surroundings is improved, but the visibility at boundary regions deteriorates
Solution Approach 1:
The system performs preliminary action by predicting the boundary region position before the rotation stops. The control device calculates where the boundary will be located at the stop position in advance, and prepares to adjust it, ensuring that the boundary does not end up in a conspicuous region that would reduce visibility.
Solution Approach 2:
The system applies dynamics by making the boundary region adjustable and changeable based on rotation conditions. The boundary position is not fixed but can be dynamically modified according to the predicted stop position, allowing the system to adapt to different rotation scenarios and maintain optimal visibility.
2Manufacturing precision
If the boundary region is adjusted to avoid conspicuous areas, then the visibility is improved, but the processing complexity increases
Solution Approach 1:
The control device performs preliminary calculation of the boundary region position based on the rotation angle and speed before rotation stops. By predicting the stop position in advance, the system can prepare the appropriate boundary adjustment without requiring complex real-time processing during the stopping moment.
Solution Approach 2:
The system uses feedback by continuously monitoring the rotation angle and speed, and using this information to predict and adjust the boundary region position. The control device receives feedback from the rotation state and adjusts the boundary accordingly, creating a closed-loop control system that maintains visibility while managing processing complexity.
Data Source
AI summary
A control device includes circuitry configured to: generate, based on respective pieces of imaging data obtained by a plurality of imaging devices of a moving body, a three-dimensional image indicating a space including both the moving body and surroundings of the moving bod; and cause a display device to display generated the three-dimensional image. The circuitry is capable of rotation of the space in the three-dimensional image. When it is predicted that a boundary region of the respective pieces of imaging data in the three-dimensional image is present in a specific region at time of stop of the rotation, the circuitry changes the boundary region.