Vehicle Light Regulation Using Road User Response Feedback
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Solution Overview
Problem
Existing vehicle light systems fail to adequately regulate light emission in a way that is consistently perceived and interpreted by other road users, leading to insufficient warning and increased risk in traffic situations.
Innovation Solution
A method and system that detect road users within the light emission direction, adjust light emission based on their response data compared to prediction data, and dynamically change light intensity and area to match hazard severity, using sensors and machine learning to optimize light settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If adaptive light emission adjustment is implemented based on environmental information, then visibility and road safety are improved, but the light function is insufficiently perceived and interpreted by other road users
Solution Approach 1:
The system detects road users in the light emission direction and acquires their response data (e.g., braking behavior, distance changes). This feedback loop allows the lighting system to adapt its light function based on actual road user reactions, ensuring that the light emission is both visible and correctly interpreted. The control unit adjusts light parameters according to detected road user responses, resolving the contradiction between improving visibility and ensuring proper interpretation.
2Illumination intensity
If light emission is increased to improve warning effectiveness, then road safety is improved, but road users may be dazzled or surprised
Solution Approach 1:
The lighting system dynamically adjusts light emission parameters based on real-time detection of road users and their responses. Instead of using fixed high intensity, the system modulates light intensity and characteristics according to detected conditions and road user reactions. This dynamic adaptation ensures warning effectiveness while avoiding excessive intensity that could cause dazzling or surprise effects.
Solution Approach 2:
The control unit changes multiple light parameters (intensity, duration, pattern, color temperature) based on detected road user responses and environmental conditions. By adjusting these parameters dynamically, the system achieves effective warning without maintaining constantly high intensity levels that would cause dazzling. The parameter changes are tailored to the specific situation and detected road user state.
Data Source
AI summary
A method for regulating the light emission from a vehicle light, wherein a road user located in the light emission direction of the vehicle light is detected, and the light emission from the vehicle light is changed, whereupon response data on the response of the road user to the change in the light emission are acquired. Prediction data indicating the response expected from a road user located in the light emission direction of the vehicle light to the changed light emission are determined. The acquired response data are compared with the determined prediction data, if the prediction data deviate from the response data, the adjustment in the light emission from the vehicle light by which a reduction in the deviation is predicted is determined, and the light emission is regulated according to the determined adjustment. Further, the invention relates to a device for carrying out this method.