Vehicle Headlight Actuation Using Predicted Lighting Transitions
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Solution Overview
Problem
Existing vehicle electronic control unit (ECU) actuation systems are reactionary, responding only to currently observed environmental or driving conditions, lacking the ability to anticipate future states and adjust accordingly.
Innovation Solution
The implementation of anticipatory vehicle ECU actuation, which involves determining a predicted environmental state based on sensor data and configuring ECUs accordingly before a future time, using models to predict environmental conditions and actuation states, allowing for proactive control unit activation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ECUs are actuated based on currently observed environmental or driving conditions, then the system responds to present conditions, but the system cannot anticipate future states and adjust accordingly
Solution Approach 1:
The system performs preliminary actions by predicting future environmental states and driver actions using sensor data and machine learning models. ECUs are actuated in advance based on predicted conditions rather than waiting for current conditions to trigger activation, thereby eliminating reaction time delays and improving vehicle performance and safety
2Ease of operation
If ECUs are activated in response to satisfying detected conditions, then the actuation is simple and direct, but the actuation is reactionary rather than anticipatory
Solution Approach 1:
The system uses sensor data as feedback to continuously update predictions of future environmental states and driver actions. Machine learning models process this feedback information to determine optimal ECU actuation timing, enabling the system to anticipate future states while maintaining operational simplicity through automated decision-making algorithms
Data Source
AI summary
Anticipatory vehicle electronic control unit (ECU) actuation, including: determining, based on sensor data capturing an environment around a vehicle, a predicted environmental state corresponding to a future time and comprising a transition in exterior lighting; determining, based on the predicted environmental state, an actuation state for one or more headlights of the vehicle; and configuring the one or more headlights of the vehicle according to the actuation state before the future time.