Vehicle Interior Lighting System with Depth Imaging
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Solution Overview
Problem
Existing vehicle interior lighting systems are inconvenient for occupants as they require manual operation or assistance to adjust lighting when moving within the vehicle, especially at night, which can be challenging and unsafe.
Innovation Solution
A vehicle interior lighting system that includes an imaging unit to capture depth images, an estimating unit to create a three-dimensional human body model, a predicting unit to anticipate the occupant's movement intentions, and an operation controller to automatically adjust lighting accordingly, ensuring illumination is provided where needed and safely managed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operation or assistance is required to adjust lighting when moving within the vehicle, then lighting control is simple and reliable, but convenience and safety of occupants are reduced
Solution Approach 1:
The lighting system automatically detects occupant movement through depth imaging and body model estimation, then autonomously adjusts lighting without requiring manual operation. The system serves itself by using sensors to trigger lighting changes based on detected movement patterns
Solution Approach 2:
The system predicts movement intention before the occupant actually moves to a new position by analyzing body model changes and movement patterns. Lighting is adjusted in advance of the completed movement, ensuring illumination is ready when needed
2Ease of operation
If an occupant moves to a target position difficult to reach at night, then the occupant can access the switch, but the occupant must move to the switch position or ask others for assistance
Solution Approach 1:
The lighting system automatically responds to detected movement without requiring the occupant to physically reach or operate a switch. The system eliminates the need for the occupant to move to the switch position by providing autonomous control
Solution Approach 2:
Lighting is adjusted before the occupant completes their movement to the target position. The system detects movement intention and activates lighting in advance, so the path is already illuminated when the occupant arrives
3Reliability
If lighting is provided continuously to ensure visibility, then safety is improved, but energy consumption increases
Solution Approach 1:
The lighting system dynamically adjusts illumination based on real-time detection of occupant presence and movement. Lighting levels and active zones change according to the detected state, providing maximum illumination when needed and minimum when not required
Solution Approach 2:
Instead of uniform continuous lighting throughout the vehicle, the system provides localized illumination only in areas where occupants are detected or predicted to move. This concentrates lighting resources on relevant zones while leaving other areas dimmed or off
4Measurement precision
If the system uses depth imaging and body model estimation to predict movement, then lighting accuracy is improved, but device complexity increases
Solution Approach 1:
The system replaces complex mechanical or contact-based sensing with optical depth imaging. This allows non-contact detection of occupant position and movement patterns while maintaining high measurement accuracy through image processing algorithms
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
The system enhances convenience and safety by automatically illuminating paths and destinations, preventing collisions and improving visibility, while also terminating lighting when movement is completed, thus optimizing lighting usage and user experience.
Implementation Method 1
an imaging unit that captures a depth image including a distance to an object person in the interior
Data Source
Figure 1~2
Figure 3
Figure 4
AI summary
A vehicle interior lighting system (1) includes an illuminating unit (50) provided in an interior of a vehicle, an imaging unit (3) that captures a depth image including a distance to an object person in the interior, an estimating unit (83) that estimates a three-dimensional human body model of an object person from a depth image captured by the imaging unit (3), a predicting unit (84) that predicts a movement intention of an object person in an interior based on the human body model estimated by the estimating unit (83), and an operation controller (85) that controls lighting of the illuminating unit (50) according to the movement intention predicted by the predicting unit (84).