Vehicle Image Recording Standardization Across Mixed Sensor Formats
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Solution Overview
Problem
The development of vehicle functions such as driver assistance systems and highly automated driving is hindered by the complexity and reduced flexibility due to dependencies on specific sensor characteristics, making it challenging to process image recordings from different sensors with varying resolutions and formats.
Innovation Solution
A method that acquires image recordings from multiple vehicle sensors, adjusts them to a preset resolution and format, and integrates additional information for processing, allowing for standardized image data independent of sensor type or manufacturer, which can be achieved through data compression and decompression, and the use of trained algorithms for adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image recordings from different sensors with varying resolutions and formats are processed directly, then sensor-specific processing is required, but development complexity increases and flexibility decreases
Solution Approach 1:
A conversion unit acts as an intermediary between diverse image sensors and the processing unit. This mediator receives image recordings from sensors with different resolutions and formats, converts them to a standardized format, and provides the standardized images to the processing unit. This eliminates the need for sensor-specific processing adaptations while maintaining flexibility in sensor selection.
Solution Approach 2:
The system changes the parameters of image recordings (resolution, format) through automated conversion. The conversion unit dynamically adjusts image parameters to match the required preset, allowing the same processing unit to handle various sensor types without modification. This parameter transformation resolves the contradiction by making the system adaptable to different sensors while keeping processing complexity constant.
2Adaptability or versatility
If image recordings are converted to a standardized format, then processing flexibility improves, but additional processing steps are required
Solution Approach 1:
The conversion unit combines multiple processing functions (format conversion, resolution adjustment, parameter standardization) into a single integrated component. By merging these operations, the system achieves processing flexibility through standardization while minimizing the number of separate processing steps required, thus maintaining productivity.
3Measurement precision
If sensor characteristics are taken into account during development, then processing accuracy improves, but coordination complexity increases
Solution Approach 1:
The system segments the processing function into two independent parts: image acquisition (sensor-specific) and image processing (standardized). The conversion unit serves as the interface between these segments, handling all sensor-specific adaptations. This segmentation allows processing accuracy to be maintained through proper conversion while eliminating the need for complex coordination between sensor development and processing unit development.
Data Source
AI summary
A method for providing image recordings in a vehicle. The method includes the following steps performed in automated manner: acquiring a first image recording of a first image sensor of the vehicle and at least one further image recording of at least one further image sensor of the vehicle, the image recordings imaging different spatial regions of the surroundings of the vehicle, whereby at least one item of information of relevance to a function of the vehicle is provided and the image recordings differing with regard to their resolution and/or their image format; performing an adjustment of the image recordings with regard to their resolution and/or their image format to a preset, the preset being dependent on at least one instance of processing performed on execution of the vehicle function; providing the adjusted image recordings for processing.


