Vehicle Interior Lighting Control Using Destination Environment Data
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Solution Overview
Problem
Conventional vehicle interior lighting systems control lighting based on the current position and time, failing to accurately reflect the environment conditions of the destination, which can lead to mismatched lighting settings when passengers prepare for their destination.
Innovation Solution
A vehicle system that includes a lighting device, a communicator, and a controller to obtain reference characteristic values from an external server, determining lighting adjustment values by combining image characteristics and weights based on the destination's environment, including weather information, to control the brightness and color of the lighting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If interior lighting is controlled based on current position and time, then lighting can be adjusted according to location, but it fails to accurately reflect the destination environment conditions
Solution Approach 1:
The system obtains destination environment information (images, weather data, time) before the vehicle arrives at the destination. The controller pre-processes this information to determine lighting adjustment values, so that the lighting is already optimized for the destination environment when the vehicle arrives, eliminating the need for reactive adjustments.
Solution Approach 2:
The system introduces an external server as an intermediary to obtain accurate destination environment information. The server provides reference characteristic values and images that serve as mediators between the current vehicle state and the target destination environment, enabling precise lighting control based on actual destination conditions rather than just current position.
2Measurement precision
If multiple images and reference characteristic values are processed to determine lighting adjustment, then lighting precision improves, but system complexity increases
Solution Approach 1:
The controller automatically obtains destination information, processes images, compares reference characteristic values, and determines lighting adjustment values without requiring manual intervention. The system serves itself by autonomously completing the entire lighting optimization process, from data acquisition to final control parameter determination, reducing the need for complex user interfaces or manual configuration.
Solution Approach 2:
The system changes lighting parameters (brightness, color temperature) based on processed destination environment data. By adjusting these physical parameters of the lighting device according to calculated lighting adjustment values, the system achieves precise control over interior lighting conditions to match the destination environment.
3Adaptability or versatility
If lighting is adjusted based on destination environment information, then passenger experience improves, but energy consumption increases
Solution Approach 1:
The system adjusts lighting parameters partially based on destination environment rather than maximizing all lighting functions. By selectively modifying only the necessary lighting characteristics (brightness, color temperature) to match destination conditions, the system achieves improved passenger experience without unnecessarily consuming excessive energy for full lighting system operation.
Data Source
AI summary
A vehicle includes: a lighting device disposed in the vehicle interior; a communicator configured to communicate with an external server; a user interface configured to receive a destination from a user; and a controller configured to obtain a reference characteristic value of the destination from the external server, and to control the lighting device based on a lighting adjustment value determined from the reference characteristic value.