Vehicle Camera Terrain Views for Blind Spots and Non-Line-of-Sight
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Solution Overview
Problem
Challenging drivability due to blind spots and non-line-of-sight angles in vehicle surroundings, limiting visibility and situational awareness.
Innovation Solution
A camera system that utilizes multiple wide field-of-view cameras to create a surround view with reconfigurable perspective views, integrating historical image data and real-time processing for enhanced visualization, including object detection and overlay information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple wide field-of-view cameras are used to capture surrounding scenes, then the coverage area and visibility are improved, but the device complexity and image processing requirements increase
Solution Approach 1:
The system divides the surrounding environment into multiple zones captured by different cameras, with each camera responsible for a specific field of view. The processor segments and processes images from multiple cameras independently, then combines them into a cohesive surround view, managing complexity through functional division
Solution Approach 2:
Multiple camera feeds with overlapping fields of view are merged and stitched together to create a comprehensive surround view. The processor integrates images from different perspectives into a unified visualization, combining multiple data sources to achieve complete coverage
2Loss of information
If images from multiple cameras are stitched together to create a surround view, then the situational awareness is improved, but the image processing time and computational load increase
Solution Approach 1:
The system performs preliminary processing of individual camera images before stitching, including preprocessing and transformation operations. Historical image data is pre-processed and stored, allowing faster retrieval and combination during real-time surround view generation, reducing overall processing time
Solution Approach 2:
The processor continuously processes and updates the surround view without interruption, maintaining real-time visualization. Historical images are continuously retrieved and integrated with new frames, ensuring uninterrupted situational awareness while managing computational load through continuous operation
3Loss of information
If historical image data is used to fill gaps in the surround view, then the visualization completeness is improved, but the system complexity increases
Solution Approach 1:
Historical image data is copied and reused to fill gaps in the surround view when current camera feeds do not provide complete coverage. The system creates composite images by combining current and historical data, effectively copying past visual information to supplement present visualization without requiring additional physical cameras
Data Source
AI summary
Aspects of the subject disclosure relate to a vehicle camera system for view creation of terrain view locations. A vehicle includes a first camera and a second camera and includes a processor configured to receive a route request to provide a route projection for the vehicle. The processor receives first data from the first camera and second data from the second camera. The processor combines the first data having a first field of view with the second data having a second field of view to create a stitched image representing a scene in a combined field of view. The processor provides overlay information mapped to pixel coordinates of the stitched image and provides, for display, a terrain view that includes the stitched image and the overlay information. The terrain view may be displayed in one of multiple selectable views based on a driving mode of the vehicle.