Vehicle Surroundings Display Adaptation for Off-Screen Object Detection
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Solution Overview
Problem
Current display systems in motor vehicles, which use cameras and sensors to show the surroundings, are limited by fixed focal lengths and do not dynamically adapt to relevant objects, potentially missing critical information outside the displayed image detail.
Innovation Solution
A computer-implemented method and device that acquires and processes image data using algorithms for object recognition and image processing to dynamically adapt the display, ensuring relevant objects are highlighted based on criteria such as distance or correspondence with reference objects, allowing for real-time awareness of important traffic elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a camera with fixed focal length is used to display a specific region, then the display system is simple and easy to operate, but critical objects outside the fixed image detail may be missed
Solution Approach 1:
The system performs preliminary object recognition on a second partial area before final display composition. By pre-processing and identifying relevant objects in the second partial area that is not initially displayed, the system can proactively adjust the display to include critical objects, improving detection reliability without requiring complex real-time processing of the entire scene
Solution Approach 2:
The display system dynamically adapts by adjusting the image detail based on detected objects. The focal length and displayed region are no longer fixed but can be modified in real-time based on object recognition results, allowing the system to prioritize displaying relevant objects while maintaining operational simplicity through automated control
2Loss of information
If the entire spatial area is displayed, then complete information is provided, but the display becomes overwhelming and critical information may be lost in the clutter
Solution Approach 1:
The system applies different processing qualities to different partial areas. The first partial area receives high-quality detailed display suitable for driver attention, while the second partial area undergoes object recognition and selective enhancement. This local differentiation ensures complete information capture without overwhelming the driver with uniformly detailed display of all areas
Solution Approach 2:
The spatial area is segmented into a first partial area and a second partial area with different processing and display priorities. This segmentation allows the system to manage information completeness by processing the second partial area for object detection while displaying the first partial area with higher detail, preventing information loss while maintaining display usability
3Reliability
If object recognition is performed on the entire spatial area, then all objects are detected, but the processing time and computational resources increase significantly
Solution Approach 1:
The system extracts and performs object recognition only on the second partial area that is not currently displayed, rather than processing the entire spatial area. This extraction approach maintains detection reliability for objects that would otherwise be missed, while significantly reducing processing time by limiting the recognition scope to only the necessary region
Data Source
AI summary
A method for adapting a display of the surroundings of a motor vehicle includes: (i) acquiring a first spatial area formed in the surroundings of the motor vehicle having a first partial area and a second partial area by way of a first image sensor; (ii) displaying an image detail which includes the first partial area by way of a display device; (iii) carrying out object recognition on the second partial area by way of an algorithm for object recognition stored in an evaluation device; and (iv) adapting the image detail by way of an algorithm for image processing stored in the evaluation device such that at least the object of the second partial area is displayed by the display device when carrying out the object recognition has had the result that an object is displayed in the second partial area and when the object meets a specified criterion.