Multi-Sensor Scene Illumination Detection for Smooth Light Transitions
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Solution Overview
Problem
Existing systems face challenges in accurately determining illumination states for machines as they transition through different lighting conditions, leading to potential distractions and inefficiencies in adjusting illumination settings.
Innovation Solution
The use of multiple illumination sensors, including a first sensor for near-field data and a second sensor for far-field data, to accurately determine scene illumination states and facilitate smoother transitions between lighting settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional single sensor systems are used to detect illumination states, then the system complexity is low, but the measurement precision and reliability of illumination state detection deteriorates during transitions
Solution Approach 1:
The illumination detection system is segmented into multiple sensors positioned at different locations (e.g., inside and outside the vehicle cabin) to detect illumination states from multiple perspectives. This segmentation allows the system to accurately determine illumination states during transitions by comparing data from different sensor positions, resolving the contradiction between measurement precision and device complexity.
2Speed
If traditional systems rapidly transition between illumination settings during lighting transitions, then the response speed is high, but harmful factors increase due to operator distraction and discomfort
Solution Approach 1:
The system performs preliminary detection of illumination transitions using multiple sensors before actually transitioning illumination settings. By detecting the start and end of transitions preliminarily and comparing multiple sensor readings, the system can determine the true illumination state more accurately before making adjustment decisions, thereby reducing premature or erroneous transitions that cause operator distraction while maintaining appropriate response speed.
3Reliability
If multiple illumination sensors are deployed to improve detection accuracy, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The system divides the detection task among multiple sensors positioned at different locations, with each sensor providing complementary information about illumination conditions. This segmentation approach improves reliability by cross-validating readings from different sensor positions while managing complexity through modular sensor deployment and systematic data processing protocols.
Solution Approach 2:
The system implements feedback mechanisms where multiple sensor readings are continuously compared and validated against each other. The illumination state determination incorporates feedback from multiple sensor sources, allowing the system to filter out erroneous readings and confirm true illumination state changes, thereby improving reliability while maintaining manageable system complexity through structured feedback processing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach improves the accuracy and speed of illumination state detection, allowing for more informed decision-making and reducing distractions for operators and others in the vicinity.
Implementation Method 1
a first illumination sensor may be configured to obtain a first sensor data corresponding to a near-field range
Implementation Method 2
a second illumination sensor may be configured to obtain a second sensor data corresponding to a far-field range
Data Source
AI summary
The present disclosure relates to determining a first illumination level corresponding to an area based at least on a first illumination detection obtained using a first illumination detector corresponding to a machine. A second illumination level corresponding to the area may be determined based at least on a second illumination detection obtained using a second illumination detector corresponding to the machine. Based at least on the first illumination level and the second illumination level, a scene illumination state of the area may be determined. Based at least on the scene illumination state, one or more lights of the machine may be controlled.