Vehicle Seatbelt Detection Using Occupant Shadow Analysis
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Solution Overview
Problem
Conventional seatbelt detection systems rely on seat belt buckle switches and seat track sensors, which cannot accurately determine if the seatbelt is properly positioned or if the buckle is being spoofed, and vision-based methods are hindered by shadows, leading to ineffective detection of seatbelt usage.
Innovation Solution
A system using a camera to capture images of occupants in a vehicle, determining their pose and shadows, and detecting the seatbelt by identifying shadows overlying a region of interest, allowing for improved vision-based detection through the use of near-infrared light and advanced image processing algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vision-based methods are used to detect seatbelt, then detection capability is improved, but shadows adversely affect detection accuracy
Solution Approach 1:
The patent converts the harmful shadow effect into a beneficial detection mechanism by using the shadow's presence and characteristics as additional information to confirm seatbelt detection. The system identifies shadows cast by the seatbelt on the occupant's body and uses shadow properties (position, shape, intensity) to verify seatbelt presence and proper positioning, thereby transforming an adverse factor into a useful detection signal.
Solution Approach 2:
The patent introduces shadow analysis as an intermediary mechanism between the light source and the final detection decision. By analyzing the shadow pattern created by the seatbelt, the system creates an intermediate detection layer that helps distinguish actual seatbelt presence from other visual elements, improving overall detection reliability in the presence of shadows.
2Device complexity
If conventional seat belt buckle switches are used, then detection system is simple, but unable to detect proper positioning or spoofing
Solution Approach 1:
The patent replaces the conventional mechanical/electrical seat belt buckle switch system with a vision-based detection system using cameras and image processing algorithms. This substitution enables the system to detect not only buckle engagement but also proper seatbelt positioning across the occupant's body, eliminating the limitations of simple switch-based systems while providing comprehensive monitoring capability.
3Measurement precision
If seat track sensors are used to determine distance to occupant, then distance measurement is provided, but body position relative to seat is not accounted for
Solution Approach 1:
The patent makes the vision system multi-functional by enabling it to simultaneously perform multiple tasks: measuring occupant distance, determining body position relative to the seat, detecting seatbelt presence, and verifying proper positioning. This universal approach replaces multiple separate sensing systems with a single integrated vision-based system that provides comprehensive occupant and seatbelt monitoring.
Data Source
AI summary
A method for detecting a position of a seatbelt in a vehicle includes: capturing, by a camera, a source image of an occupant in the vehicle; determining a pose of the occupant based on the source image; determining an occupant shadow based on the pose of the occupant; determining, based on the occupant shadow, a shadow overlying a region of interest (ROI) in the source image; and detecting, based on the shadow overlying the ROI, the seatbelt within the ROI. A system for detecting a position of a seatbelt is also provided. The system includes a camera and controller in communication with the camera and configured to: determine a pose of the occupant; determine an occupant shadow based on the pose of the occupant; determine, based on the occupant shadow, a shadow overlying the ROI; and detect, based on the shadow overlying the ROI, the seatbelt within the ROI.