Vehicle Luminance Control via Illuminance Database
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Solution Overview
Problem
The visibility of head-up display devices and on-vehicle imaging systems is compromised due to varying illuminance conditions, particularly in environments like tunnels where lighting devices are spaced intermittently, leading to inconsistent luminance and imaging quality.
Innovation Solution
A luminance control device and imaging control device that adjust the display and imaging conditions based on illuminance patterns by referencing an illuminance database, using identification information to control the luminance of displays and imaging settings such as aperture, shutter speed, and sensitivity in real-time, matching the conditions to the current lighting environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If constant luminance is maintained in the display device, then energy consumption is reduced and device simplicity is maintained, but visibility deteriorates when illuminance changes with vehicle position in tunnels
Solution Approach 1:
The display device transitions from static constant luminance to dynamic luminance adjustment. The luminance control unit dynamically changes display luminance based on detected illuminance levels and pre-stored illuminance patterns, ensuring optimal visibility across varying lighting conditions while managing energy consumption adaptively
Solution Approach 2:
The system implements feedback control by detecting actual illuminance conditions, comparing them against pre-stored illuminance patterns for different tunnel positions, and adjusting display luminance accordingly. This closed-loop approach maintains visibility reliability without requiring complex manual intervention
2Reliability
If fixed imaging conditions are used in the on-vehicle imaging device, then device complexity is minimized and operation is simplified, but visibility of captured video deteriorates when illuminance varies with position
Solution Approach 1:
The imaging device transitions from fixed imaging conditions to dynamic condition adjustment. The imaging control unit dynamically modifies aperture value, shutter speed, and sensitivity based on detected illuminance and pre-stored patterns, ensuring consistent video quality across varying tunnel lighting conditions
Solution Approach 2:
The system changes key imaging parameters (aperture value, shutter speed, sensitivity) based on illuminance conditions. By referencing pre-stored illuminance patterns that map lighting conditions to optimal parameter settings, the system maintains video visibility reliability without requiring complex real-time analysis
3Reliability
If luminance is not adjusted according to illuminance changes, then device complexity and energy consumption are minimized, but visibility deteriorates in positions with varying illuminance
Solution Approach 1:
The system adjusts display luminance parameters dynamically based on illuminance conditions. By referencing pre-stored illuminance patterns, the system increases luminance only when necessary (in darker positions) and reduces it when ambient light is sufficient, maintaining visibility while optimizing energy consumption
Solution Approach 2:
Illuminance patterns for different tunnel positions are pre-stored in the database before vehicle operation. This preliminary preparation allows the system to quickly retrieve and apply appropriate luminance settings without complex real-time calculations, balancing visibility requirements with energy efficiency
4Reliability
If an illuminance information database and real-time adjustment system are implemented, then visibility is maintained across varying illuminance conditions, but device complexity increases
Solution Approach 1:
Illuminance patterns for different tunnel positions are pre-measured and stored in a database before vehicle operation. This preliminary preparation eliminates the need for complex real-time illuminance analysis, as the system simply retrieves pre-determined patterns based on detected position and illuminance level, managing complexity through advance preparation
Solution Approach 2:
The tunnel environment is segmented into discrete positions with characteristic illuminance patterns. By dividing the continuous tunnel space into manageable segments with distinct lighting characteristics, the system can use simple pattern matching rather than complex continuous analysis, reducing overall system complexity while maintaining visibility
Data Source
AI summary
A device includes an illuminance information referring unit configured to refer to an illuminance information database that stores therein illuminance information indicating illuminance at each of positions in a lighting device installed place in which lighting devices are installed, an identification information acquiring unit configured to acquire identification information for identifying the lighting device installed place in which a vehicle travel, and a display controller configured to cause a projection device of a head-up display device to project a virtual image. The display controller is further configured to control luminance of the virtual image projected by the projection device in accordance with the illuminance information at each of the positions in the lighting device installed place based on the illuminance information referred to by the illuminance information referring unit and the identification information acquired by the identification information acquiring unit.