HD Headlight Image Frequency Control for Computing Load Balance
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Solution Overview
Problem
High-definition headlight controllers face computational burdens due to fixed image processing frequencies, which can lead to functional restrictions and reduced computing capacity for other vehicle control functions, especially in varying driving and traffic situations.
Innovation Solution
The method dynamically adjusts the image processing frequency of high-definition headlight controllers based on driving and traffic situations, using input from vehicle cameras and sensors to ensure sufficient calculation time for selected image processing functions, allocating computing capacity accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed high image processing frequency is used to ensure high-quality light images, then image quality is improved, but computing time expenditure increases and other vehicle control functions are burdened
Solution Approach 1:
The patent implements dynamic adjustment of the image processing frequency based on real-time driving situations. The control unit monitors driving conditions and adapts the image processing frequency accordingly, switching between high frequency (e.g., 60 Hz) for complex scenes requiring detailed processing and low frequency (e.g., 5 Hz) for simple scenes, thereby optimizing the balance between image quality and computing resource consumption
Solution Approach 2:
The system changes the operational parameter of image processing frequency dynamically. By adjusting this parameter based on scene complexity, the system achieves high image quality when necessary while reducing computing time expenditure during normal driving conditions, directly resolving the contradiction between image quality and computing time
2Manufacturing precision
If a fixed high image processing frequency is maintained, then detailed image processing is possible, but computing capacity for other vehicle control functions is reduced
Solution Approach 1:
The system dynamically adjusts image processing frequency based on driving situation complexity. During simple driving conditions, the frequency is reduced to free up computing capacity for other vehicle control functions. During complex situations requiring detailed processing, the frequency is increased to maintain image processing precision, thus dynamically balancing both requirements
Solution Approach 2:
The system applies partial image processing action by reducing the processing frequency from the maximum level during periods when high precision is not critically needed. This allows the system to maintain sufficient image quality while freeing computing capacity for other functions, implementing a 'good enough' approach rather than always maximizing processing precision
3Productivity
If the image processing frequency is reduced to free computing capacity, then computing resources are optimized, but the ability to respond to changing traffic situations deteriorates
Solution Approach 1:
The system implements a feedback mechanism where the control unit continuously monitors driving situations and adjusts the image processing frequency in response to detected changes. When complex traffic situations are detected, the system increases the processing frequency to maintain reliable response capability. When situations are simple, it reduces frequency to optimize computing resource efficiency, creating a closed-loop adaptive system
Solution Approach 2:
The system dynamically adapts the image processing frequency to match the actual demand imposed by traffic situations. This dynamic adjustment ensures that computing resources are efficiently utilized during simple conditions while maintaining sufficient response capability during complex situations, resolving the contradiction between resource efficiency and response reliability
Data Source
AI summary
A method is provided for varying an image processing frequency (4, 6) of an HD headlight. The method includes causing the HD headlight to reproduce an output video signal (2) provided by a headlight controller; providing an input video signal (1) to the headlight controller at an input image frequency; using the headlight controller for calculating the output video signal (2) in accordance with at least one image processing function in time within a predefined image processing frequency (4, 6); determining whether the headlight controller is burdened by a computing time expenditure required to perform the at least one image processing function within an available calculation time between two successive output video signals (2) at the predefined image processing frequency (4, 6), and varying the image processing frequency (4, 6) depending on a driving situation. A system also is provided to carry out the method.