Variable Resolution Camera for Driver Assistance
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Solution Overview
Problem
Driver assistance systems in vehicles face limitations in computing power, necessitating reduced image resolution, which compromises object detection accuracy, especially for distant objects requiring higher pixel density for reliable identification.
Innovation Solution
A camera system with variable resolution modes, automatically switching between lower-resolution 'binned' images for near-range observation and higher-resolution 'non-binned' images for far-range analysis, optimizing computing power while ensuring reliable object detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If image resolution is reduced to conserve computing power, then computing power consumption is reduced, but object detection reliability deteriorates
Solution Approach 1:
The patent applies local quality by recording images at different resolutions for different spatial regions. Specifically, a first region (e.g., near-range or specific area of interest) is captured at high resolution while a second region (e.g., far-range or background) is captured at low resolution. This allows the system to maintain high object detection reliability in critical areas while conserving computing power in less critical areas, thereby resolving the contradiction between detection reliability and computing power consumption.
2Reliability
If image resolution is increased for distant objects, then object detection reliability improves, but computing power consumption increases
Solution Approach 1:
The system implements local quality by applying different resolution levels to different spatial regions of the image. Distant objects in a first region are captured at high resolution to ensure reliable detection, while other regions are captured at low resolution to minimize computing power consumption. This selective resolution approach ensures that computing resources are allocated efficiently based on the specific detection needs of each region.
3Reliability
If uniform high resolution is used for all image areas, then object detection reliability improves, but processing time increases
Solution Approach 1:
The patent applies local quality by processing different image regions at different resolution levels. Critical regions requiring detailed analysis are processed at high resolution, while non-critical regions are processed at low resolution. This reduces the overall processing time and computational load while maintaining adequate detection reliability in areas where it is most needed, thereby resolving the contradiction between detection reliability and processing time.
Data Source
AI summary
The invention relates to recording images with variable resolution for a driver assistance system (101) of a vehicle (100). The driver assistance system (101) comprises a camera (102). In the standard operation mode, the camera (103) is configured to iteratively switch between recording images of a first type and images of a second type with a higher resolution than the images of the first type. In this way, the images of the first type can be used for analyzing a near-range of the vehicle environment without requiring too much computing power. Moreover, the images of the second type have a sufficient resolution for analyzing a far-range of the vehicle environment.