Vehicle Headlight Orientation Correction via Dynamic Image Fusion
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Solution Overview
Problem
Existing optoelectronic systems for correcting the orientation of vehicle headlights struggle with dynamic adjustments in response to sudden changes in vehicle attitude during braking or acceleration, leading to potential safety issues due to slow response times and inaccuracies in light beam alignment.
Innovation Solution
A system that combines static and dynamic image processing to provide real-time correction signals, using a camera to capture images and detect rapid attitude changes, allowing for instantaneous adjustments of the headlight orientation through data fusion and filtering, thereby enabling rapid and accurate light beam alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are placed on the front and rear axles close to the wheels to measure vehicle attitude, then the correction system can detect loading changes, but the installation becomes difficult and requires great precision and considerable investment in time and money
Solution Approach 1:
The patent replaces mechanical sensors with optoelectronic components (camera and image processing system) to detect vehicle attitude. The camera captures images of the road scene, and image processing algorithms determine the horizon line and vehicle orientation without requiring physical sensors near the wheels, thus simplifying installation while maintaining measurement precision
Solution Approach 2:
The camera system serves multiple functions: it captures road scene images for navigation, detects vehicle attitude through horizon line analysis, and enables headlight orientation correction. This multi-functionality eliminates the need for dedicated sensors, reducing installation complexity and cost
2Measurement precision
If sensors are placed close to the wheels to measure vehicle attitude, then the correction system can detect loading changes, but the sensors are subjected to splashing of water, gravel and other elements requiring robust connections
Solution Approach 1:
The patent replaces vulnerable mechanical sensors exposed to road elements with an optoelectronic camera system mounted in a protected location on the vehicle. The camera captures images that are processed to determine vehicle attitude, eliminating direct exposure to water, gravel, and other harmful road elements while maintaining detection accuracy
Solution Approach 2:
The camera acts as an intermediary, capturing visual information about the road scene and vehicle orientation without being directly exposed to harmful elements. The image processing system extracts attitude information from these images, providing indirect measurement that avoids the harsh environment near the wheels
3Measurement precision
If a camera is used to film the road scene and process images to determine the horizon line, then the system can correct headlight orientation, but the response time is insufficient for rapid variations in vehicle attitude during braking or acceleration
Solution Approach 1:
The patent implements a dual-mode correction system with both static and dynamic components. The static correction handles gradual attitude changes through horizon line analysis, while the dynamic correction uses acceleration sensors and predictive algorithms to respond rapidly to sudden braking or acceleration events, ensuring both precision and speed
Solution Approach 2:
The system performs preliminary correction based on predicted vehicle attitude changes during dynamic events. By anticipating the direction and magnitude of attitude changes during braking or acceleration, the system pre-adjusts headlight orientation to compensate for upcoming variations, reducing the effective response time
Data Source
AI summary
In the invention, a system is proposed for the automatic and dynamic correction of an orientation of a light beam emitted by a vehicle light source according to the attitude of the vehicle, by associating an image processing with static correction adapted to the slow variations in the attitude caused in particular by variations in load within the vehicle and an image processing with dynamic correction adapted to the rapid variations in the attitude due in particular to braking and acceleration of the vehicle, by means of a device for making the fusion of and filtering signals emitted simultaneously by the devices. A device for controlling the rotation of the light source orients the light source in a way appropriate to the driving according to the information received from the fusion and filtering device.