Vehicle Rear-View Display Layout for Clear Obstacle Positioning
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Solution Overview
Problem
Existing technologies for displaying video images of an outside area for moving bodies, such as vehicles, lack convenience in presenting critical information like obstacle detection and relative positional relationships in a clear and intuitive manner.
Innovation Solution
A display system that combines a bird's-eye view image with video images from behind the vehicle, using guide images and markers to indicate obstacles and their positional relationships, displayed on a single screen, allowing for dynamic changes in marker positions, sizes, and visibility based on distance and movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple images (bird's-eye view, video image, guide images) are displayed simultaneously on one screen, then situational awareness is improved, but display complexity increases
Solution Approach 1:
The display screen is segmented into multiple functional regions: bird's-eye view image area, video image area, and guide image area. Each region serves a specific purpose in presenting different types of spatial and obstacle information, allowing complex data to be organized into manageable, purpose-specific segments that reduce overall display complexity while maintaining comprehensive situational awareness
Solution Approach 2:
The system combines 2D bird's-eye view images with 2D video images and overlay guide images to create a multi-layered information presentation. By stacking these different dimensional representations (top-down view, rear-view, and directional guides) on a single 2D screen, the system provides three-dimensional spatial understanding without requiring multiple physical displays
2Measurement precision
If marker positions and sizes are dynamically adjusted based on obstacle distance and movement, then information clarity is improved, but processing complexity increases
Solution Approach 1:
The marker characteristics (position, size, visibility) are made dynamic rather than static. Markers automatically adjust their properties based on real-time obstacle distance, relative movement, and priority level. This dynamic adaptation allows the display to optimize information clarity continuously without requiring complex manual intervention, as the adjustment rules are based on straightforward geometric and motion parameter calculations
3Difficulty of detecting and measuring
If obstacles are highlighted with markers and symbols, then obstacle detection clarity is improved, but visual noise increases
Solution Approach 1:
Different marker styles, colors, and symbols are applied locally to different obstacles based on their specific characteristics such as distance, movement status, and collision risk. High-priority obstacles receive more prominent markers while lower-priority ones use subtler indicators, allowing obstacle detection clarity to be optimized for each specific case without uniformly increasing visual noise across the entire display
Data Source
AI summary
A display control device includes a controller configured to simultaneously displays a bird's-eye view image of a vehicle viewed from above, a video image behind the vehicle captured by an imager, and guide images extending rearward at intervals in the vehicle width direction of the vehicle on one screen of a display. The controller is configured to display on the display a first image in the lower right or lower left of the bird's-eye view image according to the position of an obstacle located in a rear right or rear left of the vehicle and to display a second image outside the guide image at the right end or left end of the video image.